Towards World Models in Biomedical Research | Paper Citation Record

Observation a00cd86e-9f97-439b-a4a3-e17e8eacde16 · outbound

This paper cites Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493–500, 2024.

Towards World Models in Biomedical Research Accurate structure prediction of biomolecular interactions with alphafold 3.Nature, 630(8016):493–500, 2024

Reference 1

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Observation 4c8accc0-da45-461d-b950-c4d7e14458dd · outbound

This paper cites GPT-4 Technical Report.

Towards World Models in Biomedical Research GPT-4 Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:56:57.725412Z

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Observation d76cb522-77b1-4067-b43b-85e3357ca35d · outbound

This paper cites Physics- informed machine learning in biomedical science and engineering.Annual Review of Biomedical Engineering, 28(1):309–336, 2026.

Towards World Models in Biomedical Research Physics- informed machine learning in biomedical science and engineering.Annual Review of Biomedical Engineering, 28(1):309–336, 2026

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T01:38:23.602249Z

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Observation b427bc85-72c1-4d29-a613-e99ba871e784 · outbound

This paper cites Bridging ai and biology: Foundation models meet human physiology and disease.Med, 7(1), 2026.

Towards World Models in Biomedical Research Bridging ai and biology: Foundation models meet human physiology and disease.Med, 7(1), 2026

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T01:38:23.602249Z

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Observation 48941fb0-e78a-4a7d-a315-a8baa1d80947 · outbound

This paper cites Multivi: deep generative model for the integration of multimodal data.Nature methods, 20(8):1222–1231, 2023.

Towards World Models in Biomedical Research Multivi: deep generative model for the integration of multimodal data.Nature methods, 20(8):1222–1231, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T01:38:23.602249Z

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Observation 95ac0a2e-329e-4da0-a116-801b352d7377 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Towards World Models in Biomedical Research V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:56:57.728024Z

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Observation fcb7d4a0-3691-4dac-9ae0-4035405f6829 · outbound

This paper cites Artificial intelligence virtual organoids (aivos).Bioactive Materials, 59:45–68, 2026.

Towards World Models in Biomedical Research Artificial intelligence virtual organoids (aivos).Bioactive Materials, 59:45–68, 2026

Reference 7

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Observation b04340c3-cfde-45d4-b9ca-103d8d811445 · outbound

This paper cites Navigation world models.

Towards World Models in Biomedical Research Navigation world models

Reference 8

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Observation b89abe63-63f8-4392-a753-804dcda804f0 · outbound

This paper cites The role of dynamic conformational ensembles in biomolecular recognition.Nature chemical biology, 5(11):789–796, 2009.

Towards World Models in Biomedical Research The role of dynamic conformational ensembles in biomolecular recognition.Nature chemical biology, 5(11):789–796, 2009

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T01:38:23.602249Z

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Observation dae1dc4d-5d75-4cf5-acc2-e9cc4795481b · outbound

This paper cites Autonomous chemical research with large language models.Nature, 624(7992):570–578, 2023.

Towards World Models in Biomedical Research Autonomous chemical research with large language models.Nature, 624(7992):570–578, 2023

Reference 10

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Observation c1500937-7298-43fc-ba7f-417929366b18 · outbound

This paper cites Genie: Generative interactive environments.

Towards World Models in Biomedical Research Genie: Generative interactive environments

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T01:38:23.602249Z

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Observation ad2f95b9-cd0f-44b5-a21a-354c8e48ea2f · outbound

This paper cites How to build the virtual cell with artificial intelligence: Priorities and opportunities.Cell, 187(25):7045–7063, 2024.

Towards World Models in Biomedical Research How to build the virtual cell with artificial intelligence: Priorities and opportunities.Cell, 187(25):7045–7063, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T01:38:23.602249Z

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Observation 8751cbc9-5fbc-488d-aff6-19cc71d6ba35 · outbound

This paper cites arXiv:2511.01775 (2025).

Towards World Models in Biomedical Research arXiv:2511.01775 (2025)

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:56:57.722711Z

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Observation 120d039e-4760-4d60-92df-fdce114e32ce · outbound

This paper cites an unresolved cited work.

Towards World Models in Biomedical Research Unresolved cited work

Reference 14

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Observation 14ac69f4-d47a-416f-8b87-77f331f39599 · outbound

This paper cites Towards building a world model to simulate perturbation-induced cellular dynamics by alphacell.bioRxiv, pages 2026–03, 2026.

Towards World Models in Biomedical Research Towards building a world model to simulate perturbation-induced cellular dynamics by alphacell.bioRxiv, pages 2026–03, 2026

Reference 15

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Observation c4806245-30ec-4d06-be5c-2581781156b0 · outbound

This paper cites Whatever next? predictive brains, situated agents, and the future of cognitive science.Behavioral and brain sciences, 36(3):181–204, 2013.

Towards World Models in Biomedical Research Whatever next? predictive brains, situated agents, and the future of cognitive science.Behavioral and brain sciences, 36(3):181–204, 2013

Reference 16

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Observation db884beb-cc5a-4798-b374-b9cbcbe163a6 · outbound

This paper cites Modeling development and disease with organoids.Cell, 165(7):1586–1597, 2016.

Towards World Models in Biomedical Research Modeling development and disease with organoids.Cell, 165(7):1586–1597, 2016

Reference 17

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Observation 2720fc73-13e8-4077-b380-d7237af11295 · outbound

This paper cites The drug–target residence time model: a 10-year retrospective.Nature Reviews Drug Discovery, 15(2):87–95, 2016.

Towards World Models in Biomedical Research The drug–target residence time model: a 10-year retrospective.Nature Reviews Drug Discovery, 15(2):87–95, 2016

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T01:38:23.602249Z

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Observation e978d3fb-1489-4a81-8ce0-3e20672f3b73 · outbound

This paper cites CUP Archive, 1967.

Towards World Models in Biomedical Research CUP Archive, 1967

Reference 19

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Observation d3eead6a-5521-4111-8458-a63686cae244 · outbound

This paper cites Towards multimodal foundation models in molecular cell biology.Nature, 640(8059):623–633, 2025.

Towards World Models in Biomedical Research Towards multimodal foundation models in molecular cell biology.Nature, 640(8059):623–633, 2025

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Observation a0003b21-071d-4d01-bb74-938eee15280c · outbound

This paper cites scgpt: toward building a foundation model for single-cell multi-omics using generative ai.

Towards World Models in Biomedical Research scgpt: toward building a foundation model for single-cell multi-omics using generative ai

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Observation 19cd0383-b2ef-4f1b-8092-2de6594eadd3 · outbound

This paper cites CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space.

Towards World Models in Biomedical Research CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-07T04:17:57.767699Z

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Observation 0ac36ace-a20a-4122-a376-e0ca18be1fa1 · outbound

This paper cites Learning universal policies via text-guided video generation.Advances in neural information processing systems, 36:9156–9172, 2023.

Towards World Models in Biomedical Research Learning universal policies via text-guided video generation.Advances in neural information processing systems, 36:9156–9172, 2023

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T01:38:23.602249Z

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Observation 53bfce99-05c8-4c32-ae8c-f718d5a09cbf · outbound

This paper cites The free-energy principle: a unified brain theory?Nature reviews neuroscience, 11(2):127–138, 2010.

Towards World Models in Biomedical Research The free-energy principle: a unified brain theory?Nature reviews neuroscience, 11(2):127–138, 2010

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Observation 51dbb21e-c40f-4739-87ec-3b60639f355f · outbound

This paper cites Empow- ering biomedical discovery with ai agents.Cell, 187(22):6125–6151, 2024.

Towards World Models in Biomedical Research Empow- ering biomedical discovery with ai agents.Cell, 187(22):6125–6151, 2024

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Observation 6c132f09-df5b-4cfa-8e5c-edc68a1b6669 · outbound

This paper cites Joint probabilistic modeling of single-cell multi-omic data with totalvi.Nature methods, 18(3):272–282, 2021.

Towards World Models in Biomedical Research Joint probabilistic modeling of single-cell multi-omic data with totalvi.Nature methods, 18(3):272–282, 2021

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Observation e6b65521-72a1-46d1-9c53-de3965765ed3 · outbound

This paper cites Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents.

Towards World Models in Biomedical Research Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

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Resolution: verified exact; arxiv_id, observed 2026-07-02T13:06:58.851977Z

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Observation c81f71dd-7374-4d38-8678-1b890c0ac601 · outbound

This paper cites Computer-using world model.

Towards World Models in Biomedical Research Computer-using world model

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:06:58.857096Z

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Observation 34fd4d11-478d-43ac-a3d3-6a443a2de66f · outbound

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Towards World Models in Biomedical Research Protein allostery and conformational dynamics.Chemical reviews, 116(11):6503–6515, 2016

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Observation 26f37b46-59a4-4314-affb-2b794ec84fb2 · outbound

This paper cites World Models.

Towards World Models in Biomedical Research World Models

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Observation 3d70d44d-1aed-475a-9ff8-030797779095 · outbound

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Towards World Models in Biomedical Research Learning latent dynamics for planning from pixels

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Observation ded90007-2dc0-4aa2-b07c-05cf7b9b256e · outbound

This paper cites Training Agents Inside of Scalable World Models.

Towards World Models in Biomedical Research Training Agents Inside of Scalable World Models

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Observation 6451ce9e-c194-466f-988b-d5f8cb4275f0 · outbound

This paper cites Td-mpc2: Scalable, robust world models for continuous control.

Towards World Models in Biomedical Research Td-mpc2: Scalable, robust world models for continuous control

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Observation 19d55d1a-65b4-4ad1-be46-34843338aa4b · outbound

This paper cites arXiv:2512.23162 (2025) 10 Authors Suppressed Due to Excessive Length.

Towards World Models in Biomedical Research arXiv:2512.23162 (2025) 10 Authors Suppressed Due to Excessive Length

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Observation e79befbc-b027-459e-910e-8bb15e20b45e · outbound

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Towards World Models in Biomedical Research Distilling the Knowledge in a Neural Network

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Observation 6e0b2466-7016-405a-952d-75d49e359e50 · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Towards World Models in Biomedical Research GAIA-1: A Generative World Model for Autonomous Driving

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Observation 24e9c601-f141-4262-b3e9-1290f8016dfb · outbound

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Towards World Models in Biomedical Research Lora: Low-rank adaptation of large language models.Iclr, 1(2):3, 2022

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Observation 0ac9c7f5-480c-4468-81e8-6d282659bf0e · outbound

This paper cites Med-cdiff: Conditional medical image generation with diffusion models.

Towards World Models in Biomedical Research Med-cdiff: Conditional medical image generation with diffusion models

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Observation ca10a560-adbe-4d04-bbb9-afa3e7e59623 · outbound

This paper cites Highly accurate protein structure prediction with alphafold.nature, 596(7873):583–589, 2021.

Towards World Models in Biomedical Research Highly accurate protein structure prediction with alphafold.nature, 596(7873):583–589, 2021

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Observation c8147cb6-7f6e-4369-8098-13521ab024c5 · outbound

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Towards World Models in Biomedical Research Auto-Encoding Variational Bayes

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Observation aaebbef6-5678-47b2-932b-adc01bf88fbc · outbound

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Towards World Models in Biomedical Research Surgical vision world model

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Observation 5faa86af-7dad-433a-9451-ecfeb921b3c3 · outbound

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Towards World Models in Biomedical Research Digital twins in medicine.Nature computational science, 4(3):184–191, 2024

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Observation 2171bd44-1ed7-4788-a707-95df4b218f39 · outbound

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Towards World Models in Biomedical Research A path towards autonomous machine intelligence version 0.9

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Observation 74d98a39-ccd3-4b67-9245-c3b655b440d4 · outbound

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Towards World Models in Biomedical Research A review of applications in federated learning

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Observation 20e0d167-4a20-4e09-b7cf-f80f81c90e2a · outbound

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Towards World Models in Biomedical Research Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

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Observation f637b6c8-0f83-46f9-9be2-0ada46c97254 · outbound

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Towards World Models in Biomedical Research DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

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Observation f21f02b2-f540-45c9-9792-69cdec569434 · outbound

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Towards World Models in Biomedical Research A clinical environment simulator for dynamic ai evaluation.Nature medicine, pages 1–8, 2026

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Observation 6730a1b2-12bf-4faf-8acd-d3c0269386b5 · outbound

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Towards World Models in Biomedical Research LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

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Observation f7bb7b39-ea86-4dc5-9a08-61208c226fc2 · outbound

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Towards World Models in Biomedical Research Surgical 15 data science for next-generation interventions.Nature Biomedical Engineering, 1(9):691–696, 2017

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Observation 6aecf506-45f9-48a1-854f-a6c46f89588f · outbound

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Towards World Models in Biomedical Research Transformers are Sample-Efficient World Models

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Observation c10a2b96-e37f-4243-a9b8-3e6a995d904c · outbound

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Towards World Models in Biomedical Research Nerf: Representing scenes as neural radiance fields for view synthesis

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Observation 04d390b3-aa68-460c-8de1-da5230cb43e6 · outbound

This paper cites Foundation models for generalist medical artificial intelligence.Nature, 616(7956):259–265, 2023.

Towards World Models in Biomedical Research Foundation models for generalist medical artificial intelligence.Nature, 616(7956):259–265, 2023

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Observation 6af1b307-d528-45d4-964d-7bf78bba0561 · outbound

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Towards World Models in Biomedical Research A machine learning model to predict hepatocellular carcinoma response to transcatheter arterial chemoembolization

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Observation 52f2c5cc-be04-4ef9-b00e-a677e3672a72 · outbound

This paper cites The ensemble nature of allostery.Nature, 508(7496):331–339, 2014.

Towards World Models in Biomedical Research The ensemble nature of allostery.Nature, 508(7496):331–339, 2014

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Observation e2d2f253-c8ad-42cc-9a8c-6b57155fab12 · outbound

This paper cites Cell-based computational models of organoids: A systematic review.Cells, 15(2):177, 2026.

Towards World Models in Biomedical Research Cell-based computational models of organoids: A systematic review.Cells, 15(2):177, 2026

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Observation 159955d2-ba04-4363-a16a-0a997d72006a · outbound

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Towards World Models in Biomedical Research Scalable diffusion models with transformers

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Observation 9b8563d5-1379-4673-b28a-41e90a1cc694 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

Towards World Models in Biomedical Research Movie Gen: A Cast of Media Foundation Models

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Observation de0efcca-4c35-4479-b1d3-6cb87258123c · outbound

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Towards World Models in Biomedical Research Use of linear programming methods for synthesizing sampled-data automatic systems.Automn

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Observation 70412f70-553e-415c-a0e6-8ce79ef705e9 · outbound

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Towards World Models in Biomedical Research Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

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Observation 41dc381f-5aa3-4b70-9b96-6e4da8331c37 · outbound

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Towards World Models in Biomedical Research Ai in health and medicine

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Observation 2c80c1d9-a512-47a9-b74d-25e3b087f3a4 · outbound

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Towards World Models in Biomedical Research Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.Nature neuroscience, 2(1):79–87, 1999

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Observation 2f7bf18f-2b7f-4346-8d04-851a67ed88d0 · outbound

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Towards World Models in Biomedical Research Self-driving laboratories to au- tonomously navigate the protein fitness landscape.Nature chemical engineering, 1(1):97–107, 2024

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Observation c668e0ba-e1a3-4140-9ec6-704c59328428 · outbound

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Towards World Models in Biomedical Research Industrial applications of model based predictive control.Automatica, 29(5):1251–1274, 1993

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Observation 06dcc63b-c803-4e91-938c-68e23c4aa5e7 · outbound

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Towards World Models in Biomedical Research High- resolution image synthesis with latent diffusion models

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Observation 5da8da81-7d4c-46f5-affd-f1f9a64d9505 · outbound

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Towards World Models in Biomedical Research Biodiscoveryagent: An ai agent for designing genetic perturbation experiments

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Observation fc0a0c3c-597d-481e-be09-2971dea64b45 · outbound

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Towards World Models in Biomedical Research Medical digital twins: enabling precision medicine and medical artificial intelligence.The Lancet Digital Health, 7(7), 2025

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Observation e122dce5-4af8-4f4d-ab95-e490d1ea5175 · outbound

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Towards World Models in Biomedical Research Learning the natural his- tory of human disease with generative transformers.Nature, 647(8088):248–256, 2025

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Observation f51e02bb-c7aa-46d3-a6b3-edbd78cb5193 · outbound

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Towards World Models in Biomedical Research DINOv3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 40c0aa6e-e610-4ac2-80bf-4aa0c9f739a6 · outbound

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Observation e2afc7bf-62f4-4146-8312-4c7e5a305daa · outbound

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Towards World Models in Biomedical Research Simultaneous epitope and transcriptome measurement in single cells.Nature methods, 14(9):865–868, 2017

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Observation 22c7eab8-36e7-4ac6-87a4-cd317c20d170 · outbound

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Towards World Models in Biomedical Research Uk biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.PLoS medicine, 12(3):e1001779, 2015

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Observation d345e312-751b-4ec9-ab74-2c2f44980f1f · outbound

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Towards World Models in Biomedical Research MIT press Cambridge, 1998

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Observation 4ce79e43-8c00-4e6b-85a8-b5b889d5dc8d · outbound

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Towards World Models in Biomedical Research The virtual lab of ai agents designs new sars-cov-2 nanobodies.Nature, 646(8085):716–723, 2025

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Observation 034df1da-d5c5-42d5-add1-8d1849302a3e · outbound

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Towards World Models in Biomedical Research An autonomous laboratory for the accelerated synthesis of inorganic materials.Nature, 624(7990):86, 2023

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Source-reported events for the cited work

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Observation f14a9d6a-c1c0-4d9f-8df2-e337de78be3a · outbound

This paper cites an unresolved cited work.

Towards World Models in Biomedical Research Unresolved cited work

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Observation 0b1f9b76-8595-47af-896f-c42e1292829e · outbound

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Observation 747319e1-b626-49af-8433-6b1ebd8d6d0c · outbound

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Observation 1e8a8500-d7f3-477d-9fb0-b25f2f4b47a7 · outbound

This paper cites Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial.Nature Medicine, 29(10):2633– 2642, 2023.

Towards World Models in Biomedical Research Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial.Nature Medicine, 29(10):2633– 2642, 2023

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Observation dc7a55bb-953a-4130-8638-59feef60d851 · outbound

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Towards World Models in Biomedical Research Foundation model for endoscopy video analysis via large-scale self-supervised pre-train

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Observation 860efe5a-f724-4e93-8a0b-6e9f70ebdeb6 · outbound

This paper cites De novo design of protein structure and function with rfdiffusion.Nature, 620(7976):1089–1100, 2023.

Towards World Models in Biomedical Research De novo design of protein structure and function with rfdiffusion.Nature, 620(7976):1089–1100, 2023

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Observation 8020798a-fd82-42d9-82e0-bffb46038751 · outbound

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Towards World Models in Biomedical Research Allostery in its many disguises: from theory to applications.Structure, 27(4):566–578, 2019

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Observation 10fd478b-92e7-486b-9b4c-6da2c1f46dc0 · outbound

This paper cites A vision–language foundation model for precision oncology.Nature, 638(8051):769–778, 2025.

Towards World Models in Biomedical Research A vision–language foundation model for precision oncology.Nature, 638(8051):769–778, 2025

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Observation 57e81182-9298-4236-86dd-dea4124cf375 · outbound

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Towards World Models in Biomedical Research Organoid technology in disease modelling, drug development, personalized treatment and regeneration medicine.Experimental hematology & oncology, 7(1):30, 2018

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Observation 2169f6fc-a7b9-40d2-a1af-2e2b631117fc · outbound

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Towards World Models in Biomedical Research Multi agent large language models for biomedical hypothesis generation in drug combination discovery.iScience, 28(12), 2025

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Observation 0cf842f4-1357-4640-bc36-ffe4eba5503a · outbound

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Towards World Models in Biomedical Research Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays.Science Advances, 11(31):eadt1851, 2025

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Observation 9869f31b-1010-475e-aafa-b7c3582b76ab · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

Towards World Models in Biomedical Research VideoGPT: Video Generation using VQ-VAE and Transformers

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No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation cc3f562b-d77d-4142-8084-b5b22d86753d · outbound

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Towards World Models in Biomedical Research Large-scale self-supervised video foundation model for intelligent surgery.npj Digital Medicine, 2026

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Observation 97fa7ff7-cd7d-40ad-896f-64b38a57a196 · outbound

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Towards World Models in Biomedical Research Medical world model

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Observation 61da51cc-e0c4-4d7b-8802-3296a0c77d79 · outbound

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Towards World Models in Biomedical Research ReAct: Synergizing Reasoning and Acting in Language Models

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 4557286f-24be-481e-8b76-fdc97d1fd348 · outbound

This paper cites Reinforcement learning in healthcare: A survey.ACM Computing Surveys (CSUR), 55(1):1–36, 2021.

Towards World Models in Biomedical Research Reinforcement learning in healthcare: A survey.ACM Computing Surveys (CSUR), 55(1):1–36, 2021

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Observation e6b29067-e398-455c-90b6-9575b52f7b86 · outbound

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Towards World Models in Biomedical Research Medsg-bench: A benchmark for medical image sequences grounding.Advances in Neural Information Processing Systems, 38, 2026

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Observation cbba5256-94fd-4583-831e-43d2b4a64415 · outbound

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Towards World Models in Biomedical Research Ded-sam: Data-efficient distillation towards light-weight medical sam via diverse, balanced, representative core-set selection

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Observation 5384f66a-e538-41eb-8f00-94b340675ee8 · outbound

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Towards World Models in Biomedical Research Echoworld: Learning motion-aware world models for echocardiography probe guidance

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Observation 6c04f787-2ca0-4207-a2e1-d67b421447de · outbound

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Towards World Models in Biomedical Research Chexworld: Exploring image world modeling for radiograph representation learning

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Observation 67ec4afe-07a3-4ced-b973-82464f5f2b09 · outbound

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Towards World Models in Biomedical Research Lingshu-cell: A generative cellular world model for transcriptome modeling toward virtual cells.arXiv preprint arXiv:2603.25240, 2026

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation fc07563e-ad76-4a8b-86df-ae4494a002fb · outbound

This paper cites A generalist foundation model and database for open-world medical image segmentation.Nature Biomedical Engineering, pages 1–16, 2025.

Towards World Models in Biomedical Research A generalist foundation model and database for open-world medical image segmentation.Nature Biomedical Engineering, pages 1–16, 2025

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Observation 34fc1f3b-acf5-4cb8-b27e-43ffa3e791dd · outbound

This paper cites Organoids.

Towards World Models in Biomedical Research Organoids

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Source-reported events for the cited work

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Observation 7ed01a5d-46eb-4406-8ddf-c2a979b68077 · outbound

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Towards World Models in Biomedical Research DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

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Source-reported events for the cited work

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