Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium | Paper Citation Record

Observation 867fb611-1c6a-4da8-bd47-07a49a11a24e · outbound

This paper cites an unresolved cited work.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Unresolved cited work

Reference 1

Resolution: verified exact; raw_fallback, observed 2026-08-08T14:40:03.088744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9fb538e0-a516-4817-8de2-0b0bc0c9e9c7 · outbound

This paper cites Topo-cxr: Chest x-ray tb and pneumonia screening with topological machine learning.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Topo-cxr: Chest x-ray tb and pneumonia screening with topological machine learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.040281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b54fdf68-8a6c-4fe5-a9a2-a2491faebe9f · outbound

This paper cites Ayers, Adam Poliak, Mark Dredze, Eric C.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Ayers, Adam Poliak, Mark Dredze, Eric C

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.043751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9450b78f-fd3f-41d6-9dbf-d7bd1ef0bf13 · outbound

This paper cites A foundation model for atomistic materials chemistry.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium A foundation model for atomistic materials chemistry

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.047496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fad1604-bddd-4eb7-9ddc-0512eb7927a5 · outbound

This paper cites Beecy, Christopher A.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Beecy, Christopher A

Reference 5

Resolution: verified exact; doi, observed 2026-08-08T14:40:01.513344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb98fd11-19ac-4bd0-b406-e9967fee4653 · outbound

This paper cites The regulation of clinical artificial intelligence.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium The regulation of clinical artificial intelligence

Reference 6

Resolution: verified exact; doi, observed 2026-08-08T14:40:01.504312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8494ef9a-3fde-41cd-88aa-d388a16ab975 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium On the Opportunities and Risks of Foundation Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.058401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84b5755-05e3-481a-b11d-5a0d6366dc11 · outbound

This paper cites Guidelines for the economic evaluation of health technologies: Canada—4th edition.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Guidelines for the economic evaluation of health technologies: Canada—4th edition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.062112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc5e779d-a58b-46bb-bb2a-1cc09626d951 · outbound

This paper cites MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus Infection.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus Infection

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-08T14:40:02.460707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 17686294-176e-4a8e-8a08-06bfe44ad5b5 · outbound

This paper cites Revolution, interrupted: Why AI has failed to live up to the hype in drug development , 2024.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Revolution, interrupted: Why AI has failed to live up to the hype in drug development , 2024

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.069031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3779bf86-f25a-4716-a1df-814d68060a8e · outbound

This paper cites Statistics canada: Canadian community health survey, 2024.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Statistics canada: Canadian community health survey, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.072179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd93ee84-9203-48f1-84f0-c8ee7f3ccbe3 · outbound

This paper cites Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-08T14:40:02.447039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a13b573d-e629-4f5f-9b35-f7a237df03c9 · outbound

This paper cites Alfonso, Marisa Cobanaj, Amelia Morel Fiske, Alexander J.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Alfonso, Marisa Cobanaj, Amelia Morel Fiske, Alexander J

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.078680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a13d9fc-885d-41bf-870e-b561aca60092 · outbound

This paper cites xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.081654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8261f7a0-8de1-4948-a40f-fd728f9c2644 · outbound

This paper cites AI will boost drug development in 2025: Software-inspired medicines are getting closer to prime time.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium AI will boost drug development in 2025: Software-inspired medicines are getting closer to prime time

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.085186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50098d5e-5f6b-4b91-8ad7-054abb88aa11 · outbound

This paper cites The frontier of simulation-based inference.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium The frontier of simulation-based inference

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.088112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6b14fa-92e2-4da4-84d7-5af92aaac3d0 · outbound

This paper cites The Atlas of AI : Power , Politics , and the Planetary Costs of Artificial Intelligence.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium The Atlas of AI : Power , Politics , and the Planetary Costs of Artificial Intelligence

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.091290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da86b739-24fb-4a50-8dad-e279632cb959 · outbound

This paper cites Using machine learning to individualize treatment effect estimation: Challenges and opportunities.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Using machine learning to individualize treatment effect estimation: Challenges and opportunities

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.094416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b59b723b-7967-4caf-a709-b9b28033e6be · outbound

This paper cites Calibration drift in regression and machine learning models for acute kidney injury.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Calibration drift in regression and machine learning models for acute kidney injury

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.097405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 497aa40f-b2fe-4f60-bf6e-0c159f1523cb · outbound

This paper cites Explainable framework for glaucoma diagnosis by image processing and convolutional neural network synergy: Analysis with doctor evaluation.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Explainable framework for glaucoma diagnosis by image processing and convolutional neural network synergy: Analysis with doctor evaluation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.100433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9125b376-de38-4568-a6d5-7b8694d5c174 · outbound

This paper cites Conceptualizing Epistemic Oppression.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Conceptualizing Epistemic Oppression

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.103484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce352b3-b2e6-4a35-b44c-98030f561bce · outbound

This paper cites Causal machine learning for predicting treatment outcomes.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Causal machine learning for predicting treatment outcomes

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.106387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a59f9ee6-8d46-42f7-b785-cf006fb59eeb · outbound

This paper cites Epistemic Injustice : Power and the Ethics of Knowing.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Epistemic Injustice : Power and the Ethics of Knowing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.109527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63f20f26-1cc2-4524-bed9-0e41deb828ab · outbound

This paper cites Bayesian Optimization.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Bayesian Optimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.112638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27a7b7eb-4b36-4ac2-aa65-06de07f1d010 · outbound

This paper cites fishing expedition.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium fishing expedition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.115613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f768366-7f0b-45bc-8f5b-2d538b6300a8 · outbound

This paper cites Interactions in epidemiology: relevance, identification, and estimation.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Interactions in epidemiology: relevance, identification, and estimation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.119148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fb254e6-6ad0-4f3b-9b8c-7980114bcaa1 · outbound

This paper cites A stock approach to the demand for health.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium A stock approach to the demand for health

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.122218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9319327-5eea-4fae-9287-084c57d42fcc · outbound

This paper cites Generalizability of cardiovascular disease clinical prediction models: 158 independent external validations of 104 unique models.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Generalizability of cardiovascular disease clinical prediction models: 158 independent external validations of 104 unique models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.125405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f30acd6-1e00-4f9c-999a-d0d4ec276401 · outbound

This paper cites CZII - CryoET Object Identification , 2024.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium CZII - CryoET Object Identification , 2024

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.128496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20ba5b70-e1b0-4c6c-b379-35f9437f77f7 · outbound

This paper cites Value judgments in a COVID -19 vaccination model: A case study in the need for public involvement in health-oriented modelling.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Value judgments in a COVID -19 vaccination model: A case study in the need for public involvement in health-oriented modelling

Reference 30

Resolution: metadata mismatch; raw_fallback, observed 2026-08-08T14:40:02.356517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8215f66b-8760-4d94-93e6-9aad9f15416b · outbound

This paper cites Deeperbind: Enhancing prediction of sequence specificities of dna binding proteins.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Deeperbind: Enhancing prediction of sequence specificities of dna binding proteins

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.134400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4192c20a-a394-44be-bd74-89bfe861b16c · outbound

This paper cites Sofroniew, Deniz Oktay, Zeming Lin, Robert Verkuil, Vincent Q.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Sofroniew, Deniz Oktay, Zeming Lin, Robert Verkuil, Vincent Q

Reference 32

Resolution: malformed identifier; doi_truncated, observed 2026-08-08T14:40:01.485063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0eb1dc87-701f-4bb2-88b9-29333a5874fb · outbound

This paper cites an unresolved cited work.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Unresolved cited work

Reference 33

Resolution: verified exact; doi, observed 2026-08-08T14:40:03.423372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e78eb35-44df-47fc-af7e-f4de5b3a8a6f · outbound

This paper cites Applied artificial intelligence and trust—the case of autonomous vehicles and medical assistance devices.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Applied artificial intelligence and trust—the case of autonomous vehicles and medical assistance devices

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.143558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b68b874-aee9-4685-a918-5c90456a51cb · outbound

This paper cites Osborne, and Hans P.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Osborne, and Hans P

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.146605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96c92bcc-025e-478e-9358-4cc408b40a06 · outbound

This paper cites Causability and explainability of artificial intelligence in medicine.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Causability and explainability of artificial intelligence in medicine

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.414323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b1e02bc5-2816-40c0-ac6a-b3d77acf0410 · outbound

This paper cites Bryant Howren.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Bryant Howren

Reference 37

Resolution: verified exact; doi, observed 2026-08-08T14:40:01.470684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a8e5e56a-5d9c-4135-81e3-12406bf1d1a7 · outbound

This paper cites Canada denied visas to dozens of Africans for a big artificial intelligence conference.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Canada denied visas to dozens of Africans for a big artificial intelligence conference

Reference 38

Resolution: verified exact; doi, observed 2026-08-08T14:40:01.461432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a039b1bd-ce12-485c-900d-54bf47acefb7 · outbound

This paper cites Ingraham, Max Baranov, Zak Costello, Karl W.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Ingraham, Max Baranov, Zak Costello, Karl W

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.158955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9883fa76-f8cc-4169-a52b-7a26b03a4315 · outbound

This paper cites Random survival forests.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Random survival forests

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.400043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9c322e75-ba8b-4d7b-91e7-bd9ee67e7ae2 · outbound

This paper cites Valley, Ella A.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Valley, Ella A

Reference 41

Resolution: verified exact; raw_fallback, observed 2026-08-08T14:40:02.081603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e2fcb9ed-e209-4eaf-995b-e8f36813054e · outbound

This paper cites Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-08T14:40:01.989809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b99f2781-09f8-47f2-9bdf-c223df0d56b5 · outbound

This paper cites Conceptualizing machine learning for dynamic information retrieval of electronic health record notes.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Conceptualizing machine learning for dynamic information retrieval of electronic health record notes

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.391544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 79d833e6-404b-4589-9773-145c9ae86019 · outbound

This paper cites Towards an artificial intelligence framework for data-driven prediction of coronavirus clinical severity.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Towards an artificial intelligence framework for data-driven prediction of coronavirus clinical severity

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.383286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d077830e-983b-441e-ab2f-e16f3cf49346 · outbound

This paper cites Time-dependent roc curve analysis in medical research: current methods and applications.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Time-dependent roc curve analysis in medical research: current methods and applications

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.374876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ce2e3e71-6702-4f38-8d57-6beeeee06214 · outbound

This paper cites Evaluating the impact of prediction models: lessons learned, challenges, and recommendations.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Evaluating the impact of prediction models: lessons learned, challenges, and recommendations

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.366727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eb6d3651-1029-48ad-a5d4-a7be429df571 · outbound

This paper cites Deepsurv: personalized treatment recommender system using a cox proportional hazards deep neural network.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Deepsurv: personalized treatment recommender system using a cox proportional hazards deep neural network

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.358540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3f040145-c99c-4adf-9aab-543a25d1d716 · outbound

This paper cites Epistemic Injustice in Generative AI.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Epistemic Injustice in Generative AI

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.187380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc5d530d-5c2a-42db-abc8-7f60f8bcca2c · outbound

This paper cites Key challenges for delivering clinical impact with artificial intelligence.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Key challenges for delivering clinical impact with artificial intelligence

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.350226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6ecedce2-3c3c-4eaa-8d4e-57858f0ee008 · outbound

This paper cites an unresolved cited work.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Unresolved cited work

Reference 50

Resolution: verified exact; doi, observed 2026-08-08T14:40:01.446962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cd0de548-870b-4496-b1fa-1f8239fb51fb · outbound

This paper cites Foundations of machine learning-based clinical prediction modeling: Part ii—generalization and overfitting.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Foundations of machine learning-based clinical prediction modeling: Part ii—generalization and overfitting

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.342085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2107aad4-6b9c-4be1-aba2-deb6c25610d0 · outbound

This paper cites Patient information summarization in clinical settings: scoping review.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Patient information summarization in clinical settings: scoping review

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.333175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 046fe5b0-3160-4c7a-8e3e-434eaf09e43c · outbound

This paper cites S-synth: Knowledge-based, synthetic generation of skin images.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium S-synth: Knowledge-based, synthetic generation of skin images

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.322937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27fee03c-d5ae-4b5a-876f-b9b23d0f31df · outbound

This paper cites an unresolved cited work.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Unresolved cited work

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.205447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42b37f47-3480-47d1-bf08-4a2974c0f63e · outbound

This paper cites Chembo: Bayesian optimization of small organic molecules with synthesizable recommendations.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Chembo: Bayesian optimization of small organic molecules with synthesizable recommendations

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.314205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9fe19e4a-3605-4adc-a6b0-16465e4a38b3 · outbound

This paper cites How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.211632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acd6bf8d-0f27-440d-a17b-b3e1162d548c · outbound

This paper cites Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.305020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 30bc6104-dd50-4ef9-82c3-98a1620f2d9f · outbound

This paper cites Confounding by indication in clinical research.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Confounding by indication in clinical research

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.295352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5ca441de-d6ef-4f2d-9156-dee8df2f87c7 · outbound

This paper cites Simulation Intelligence: Towards a New Generation of Scientific Methods.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Simulation Intelligence: Towards a New Generation of Scientific Methods

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.221035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2464ce60-c53b-460f-92e4-d556ed8d0401 · outbound

This paper cites Deephit: A deep learning approach to survival analysis with competing risks.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Deephit: A deep learning approach to survival analysis with competing risks

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.224226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6c241a4-551f-42b0-9e66-a8dfb18b41fd · outbound

This paper cites Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.227428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9119cb7f-f679-4e99-be12-bc60cf3daee8 · outbound

This paper cites Lu, Bowen Chen, Drew F.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Lu, Bowen Chen, Drew F

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.230536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2fcddc7-47e6-4f6f-9522-37a842273090 · outbound

This paper cites an unresolved cited work.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.233494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d12187-b314-48a6-91e1-f214ebd6d8a7 · outbound

This paper cites Bran , Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Bran , Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.236368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11e19669-ea64-46e2-b307-821d77e4b8d9 · outbound

This paper cites Medgan: optimized generative adversarial network with graph convolutional networks for novel molecule design.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Medgan: optimized generative adversarial network with graph convolutional networks for novel molecule design

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.287089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ac3cbc6e-b7b1-41f4-b707-1b60296958cb · outbound

This paper cites Artificial intelligence in low-and middle-income countries: innovating global health radiology.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Artificial intelligence in low-and middle-income countries: innovating global health radiology

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.278058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6820d20b-c766-4a83-82fe-377fd0edd2cf · outbound

This paper cites National center for health statistics: National health and nutrition examination survey, 2024.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium National center for health statistics: National health and nutrition examination survey, 2024

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.269129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 08f09db1-4dbe-49ad-bdfb-7a64e2359700 · outbound

This paper cites Nice health technology evaluations: the manual.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Nice health technology evaluations: the manual

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.260322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e211fd9b-ac00-4196-82f6-927fad63f08f · outbound

This paper cites Korea national health and nutrition examination survey, 20th anniversary: accomplishments and future directions.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Korea national health and nutrition examination survey, 20th anniversary: accomplishments and future directions

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.251213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bc899071-1e4f-4e06-8e09-1dda0bc11d03 · outbound

This paper cites ‘ Exhausted and insulted’: how harsh visa-application policies are hobbling global research.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium ‘ Exhausted and insulted’: how harsh visa-application policies are hobbling global research

Reference 70

Resolution: verified exact; doi, observed 2026-08-08T14:40:01.416954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d8b3868-57d9-4bbb-b996-102c8d710468 · outbound

This paper cites Machine learning methods in health economics and outcomes research—the palisade checklist: a good practices report of an ispor task force.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Machine learning methods in health economics and outcomes research—the palisade checklist: a good practices report of an ispor task force

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.242478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95687eb5-4927-441e-9c72-7a21b001f194 · outbound

This paper cites The crucial role of interdisciplinary conferences in advancing explainable ai in healthcare.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium The crucial role of interdisciplinary conferences in advancing explainable ai in healthcare

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.233022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b9e05235-b131-460a-8a40-8bf022cc7df9 · outbound

This paper cites Phillippo, Sofia Dias, A.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Phillippo, Sofia Dias, A

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.264190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5532c52e-4987-44f6-abea-fb53f6fcf77d · outbound

This paper cites Causal inference and counterfactual prediction in machine learning for actionable healthcare.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Causal inference and counterfactual prediction in machine learning for actionable healthcare

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.267537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 798a3e6e-ad62-40ae-ba3a-10d7ece20c8a · outbound

This paper cites Kizilcec, Loren Laine, Terika Mccall, and Dennis Shung.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Kizilcec, Loren Laine, Terika Mccall, and Dennis Shung

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.270595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a57cd04-d601-490b-9d05-4c22785956d7 · outbound

This paper cites Scientific Objectivity.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Scientific Objectivity

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.218618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94508d41-b2e2-4e4c-a792-bc743f37cbf7 · outbound

This paper cites Deep learning in drug design: protein-ligand binding affinity prediction.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Deep learning in drug design: protein-ligand binding affinity prediction

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.208692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9afdd74b-a6d6-4efe-92ec-d5316a58a9f4 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium High-resolution image synthesis with latent diffusion models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.279790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 503a74a8-44e7-479b-98a9-414772dff35f · outbound

This paper cites Marginal versus conditional odds ratios when updating risk prediction models.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Marginal versus conditional odds ratios when updating risk prediction models

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.192456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5ce008d3-e1f8-4b76-9d79-588ff7ec4981 · outbound

This paper cites A practical guide for building collaborations between clinical researchers and engineers: lessons learned from a multidisciplinary patient safety project.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium A practical guide for building collaborations between clinical researchers and engineers: lessons learned from a multidisciplinary patient safety project

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.182378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c2df03b4-bfbc-42c3-8dc5-99b79b5567d1 · outbound

This paper cites Regularization paths for cox’s proportional hazards model via coordinate descent.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Regularization paths for cox’s proportional hazards model via coordinate descent

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.173286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a017385-e63c-4d45-b08a-b878337d9b86 · outbound

This paper cites Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.292231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce5886d-dfbf-442d-92dd-5b533499283c · outbound

This paper cites The virtual lab: Ai agents design new sars-cov-2 nanobodies with experimental validation.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium The virtual lab: Ai agents design new sars-cov-2 nanobodies with experimental validation

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.164125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5beea41-17e5-4e5d-8f88-5d51457ea932 · outbound

This paper cites an unresolved cited work.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Unresolved cited work

Reference 84

Resolution: verified exact; doi, observed 2026-08-08T14:40:01.401516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e8281e55-3bcb-4803-b699-cd75cdb6bf54 · outbound

This paper cites Scientifc Background to the Nobel Prize in Chemistry 2024: Computational protein design and protein structure prediction.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Scientifc Background to the Nobel Prize in Chemistry 2024: Computational protein design and protein structure prediction

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.154726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f450b28c-c48d-4c2c-8753-d93c22e1841e · outbound

This paper cites Canadian residents face the longest waits in the world for U.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Canadian residents face the longest waits in the world for U

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.144902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5e81172-e92d-44d3-bd0a-254f9e652025 · outbound

This paper cites Tierney, Gregg Gayre, Brian Hoberman, Britt Mattern, Manuel Ballesca, Patricia Kipnis, Vincent Liu, and Kristine Lee.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Tierney, Gregg Gayre, Brian Hoberman, Britt Mattern, Manuel Ballesca, Patricia Kipnis, Vincent Liu, and Kristine Lee

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.307348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55739084-7438-4f74-ac61-985c56c35d9d · outbound

This paper cites Memorization without overfitting: Analyzing the training dynamics of large language models.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Memorization without overfitting: Analyzing the training dynamics of large language models

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.310314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14509f4d-1b81-48a9-82d7-b3cc500acd40 · outbound

This paper cites Food and Drug Administration.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Food and Drug Administration

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.128988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4a97fa88-06ee-4ac6-8f1f-d0b846ddc223 · outbound

This paper cites Macaskill Petra McLernon David J.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Macaskill Petra McLernon David J

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.119142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 52545cf2-b761-4a8a-9a63-89bd88662db9 · outbound

This paper cites Economic evaluations of artificial intelligence-based healthcare interventions: a systematic literature review of best practices in their conduct and reporting.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Economic evaluations of artificial intelligence-based healthcare interventions: a systematic literature review of best practices in their conduct and reporting

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.109031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a22b7100-3eac-4e05-94b1-9b89ab11fce6 · outbound

This paper cites A Comprehensive Guide to Simulation-based Inference in Computational Biology , 2024.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium A Comprehensive Guide to Simulation-based Inference in Computational Biology , 2024

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:40:03.099454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ebfa6d52-fc9e-47b4-97a5-22a5ee0390ce · outbound

This paper cites Weishaupt, T.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Weishaupt, T

Reference 93

Resolution: verified exact; doi, observed 2026-08-08T14:40:01.387507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4fec1b09-e8a0-497c-88e2-07bcad4e7ae5 · outbound

This paper cites Boltz-1 Democratizing Biomolecular Interaction Modeling , nov 2024.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Boltz-1 Democratizing Biomolecular Interaction Modeling , nov 2024

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.329095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 314616c1-d152-42d2-97b6-88e9b5b1918c · outbound

This paper cites Evaluating treatment benefit predictors using observational data: Contending with identification and confounding bias, 2024.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Evaluating treatment benefit predictors using observational data: Contending with identification and confounding bias, 2024

Reference 95

Resolution: verified exact; raw_fallback, observed 2026-08-08T14:40:01.751647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e41fc863-9045-41b0-8895-6db42250bace · outbound

This paper cites Unremarkable ai: Fitting intelligent decision support into critical, clinical decision-making processes.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Unremarkable ai: Fitting intelligent decision support into critical, clinical decision-making processes

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.335203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68612581-14b1-479f-be0e-72468095f19e · outbound

This paper cites Spurious correlations in machine learning: A survey.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Spurious correlations in machine learning: A survey

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-08T14:40:01.338029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdb3f0e2-5aee-433e-9595-b846194cf30d · outbound

This paper cites Zaj a c, Dana Li, Xiang Dai, Jonathan F.

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium Zaj a c, Dana Li, Xiang Dai, Jonathan F

Reference 98

Resolution: verified exact; doi, observed 2026-08-08T14:40:01.372057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers