Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:32:37.540454Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 100 of 136 outbound references and 0 inbound Pith citation observations for arXiv:2508.19800.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:32:37.540454Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 136 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a4c9a8f9-07cf-4392-93e1-0d3f07860e7d · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mapping the multiscale structure of biological systems,
Reference 1
Source-reported events for the cited work
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Observation 0e00edbe-247e-416c-b89b-601329372461 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Systems Biology: A Brief Overview,
Reference 2
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Observation 114ce37c-d624-422a-a546-989c18126c83 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Chapter 6 - Artificial intelligence in systems biology,
Reference 3
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Observation a7112517-a804-43db-bc8c-29fafe620fbe · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Artificial Intelligence in Bioinformatics: Advancements and Applications,
Reference 4
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Observation 8b8c3398-e8d9-44ff-a48c-1f602578cf03 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent safe and effective
Reference 5
Source-reported events for the cited work
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Observation 74cc3d79-1cad-4191-a79f-4236a6605650 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent black boxes,
Reference 6
Source-reported events for the cited work
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Observation 64fd0440-236a-4d68-afa7-221250f15680 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent black box
Reference 7
Source-reported events for the cited work
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Observation 8bbc28eb-9963-4347-b86b-200de4167bce · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics,
Reference 8
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Observation 56a5c201-171b-42be-b918-7d17f8616187 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Designing deep learning studies in cancer diagnostics,
Reference 9
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Observation 91fcdf29-c861-47d8-93d9-bf3cbc614a3e · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Biology-guided deep learning predicts prognosis and cancer immunotherapy response,
Reference 10
Source-reported events for the cited work
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Observation 8551b98d-1bf2-47bf-a6c3-6b7274a76888 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass,
Reference 11
Source-reported events for the cited work
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Observation f797d103-343a-4f85-b518-ad72e9b32922 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Predicting the clinical impact of human mutation with deep neural networks,
Reference 12
Source-reported events for the cited work
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Observation 3323879e-5b17-4feb-9e42-29c049234b80 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence,
Reference 13
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Observation eb9af914-0fe1-48f2-9609-e7ec201b95b6 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Deep learning in pharmacogenomics: from gene regulation to patient stratification,
Reference 14
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Observation 7fc0ba0b-7f70-48f8-b10c-7f3416b5708a · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Prediction of drug efficacy from transcriptional profiles with deep learning,
Reference 15
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Observation 44476b31-b8ca-40d9-91db-5404a0cdccd4 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Artificial intelligence for modelling infectious disease epidemics,
Reference 16
Source-reported events for the cited work
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Observation 057ab677-a343-49ac-9c87-6efee0f36204 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Machine learning for data-centric epidemic forecasting,
Reference 17
Source-reported events for the cited work
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Observation 38f403bd-d805-4ffa-a3bd-c22f45281e45 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Harnessing machine learning to guide phylogenetic-tree search algorithms,
Reference 18
Source-reported events for the cited work
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Observation fb3ab219-5f5d-46d4-b0ab-d32a70751dc1 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent ModelRevelator: Fast phylogenetic model estimation via deep learning,
Reference 19
Source-reported events for the cited work
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Observation 327d4223-d18f-4687-939c-18f2f10bd771 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Genome modeling and design across all domains of life with Evo 2,
Reference 20
Source-reported events for the cited work
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Observation a9fce004-ca5d-4060-99ff-a68b9e5bbf22 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Perspectives on computational modeling of biological systems and the significance of the SysMod community,
Reference 21
Source-reported events for the cited work
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Observation f39361b8-a5d7-4d63-8040-99488c25ad58 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships,
Reference 22
Source-reported events for the cited work
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent A multiscale approach for biomedical machine learning,
Reference 23
Source-reported events for the cited work
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Observation bc179643-5a32-4c71-99ae-8aff283d15db · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent INSIHGT: an accessible multi-scale, multi-modal 3D spatial biology platform,
Reference 24
Source-reported events for the cited work
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Observation 0382166b-4eef-4689-bb99-3f185928d09a · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Opportunities and challenges in using real-world data for health care,
Reference 25
Source-reported events for the cited work
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Observation a89c0107-e86d-4bd5-9f04-7d7fb947bcf1 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Autonomous chemical research with large language models,
Reference 26
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Observation e2f44906-bffe-4cf2-926a-ee216b089f88 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Language models for biological research: a primer,
Reference 27
Source-reported events for the cited work
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Observation e703043c-6a79-4ff6-85a4-61585fc0d87e · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Empowering biomedical discovery with AI agents,
Reference 28
Source-reported events for the cited work
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Observation 07c6bd52-052a-4eaf-8e81-eacfa47f58d6 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Large language models streamline automated machine learning for clinical studies,
Reference 29
Source-reported events for the cited work
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Observation 88c05cbe-efc4-4883-97ab-1745f1197f16 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent A pathologist–AI collaboration framework for enhancing diagnostic accuracies and efficiencies,
Reference 30
Source-reported events for the cited work
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Observation 1def52b2-f8fe-4c4b-bccb-a5a8eed32f66 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent SpatialAgent: An autonomous AI agent for spatial biology,
Reference 31
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Observation e191aab5-7caf-4b7c-a80f-6325786695fb · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent How to build the virtual cell with artificial intelligence: Priorities and opportunities,
Reference 32
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Observation ccb62b1a-4e88-4ee2-8b7b-f0ebe0e346d8 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Robin: A multi-agent system for automating scientific discovery
Reference 33
Source-reported events for the cited work
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Observation a731a1bd-f67c-48fd-a72e-533f8fec431e · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent OriGene: A Self-Evolving Virtual Disease Biologist Automating Therapeutic Target Discovery,
Reference 34
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Observation 6224b0f6-3cd7-4c0c-8b2f-9e469a33812a · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Biomni: A General-Purpose Biomedical AI Agent,
Reference 35
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Observation 93208edc-3455-42a4-9662-cc66d03ae232 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Enhancing diagnostic capability with multi-agents conversational large language models,
Reference 36
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Observation 1e0e30a0-cf83-49d0-b13c-7637613846e2 · outbound
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Reference 37
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Observation fa4ec489-ebfa-4f84-ba71-5b7685b687a9 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Towards an AI co-scientist,
Reference 38
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Observation 355f49a4-a558-4a25-8e4a-8d4f474ee13b · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Big data: Historic advances and emerging trends in biomedical research,
Reference 39
Source-reported events for the cited work
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Observation 980ffed8-cb73-41ae-be0a-6af896a79bfd · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review,
Reference 40
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Observation 6c215ba7-87e8-4dea-9039-a3293948dc6d · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Integrating and formatting biomedical data as pre-calculated knowledge graph embeddings in the Bioteque,
Reference 41
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Observation e8a4bb97-69ba-4d51-980b-90095c04d30c · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Sequence modeling and design from molecular to genome scale with Evo,
Reference 42
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Observation cdc06150-9d72-4689-ae26-acf4f8e0773b · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent BioLLM: A standardized framework for integrating and benchmarking single-cell foundation models,
Reference 43
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Observation a8ec6844-954e-4d81-96ef-bcddaf60aa74 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent scGPT: toward building a foundation model for single-cell multi-omics using generative AI,
Reference 44
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Observation c2a7a545-0976-4379-b23d-d909af98d7de · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics,
Reference 45
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Observation d09d0f56-4d70-4610-b9e3-87bf652360e1 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent SpaCCC: Large language model-based cell-cell communication inference for spatially resolved transcriptomic data,
Reference 46
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Observation 52950a25-c5a0-40f2-bd94-69570f27977c · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent QuST-LLM: Integrating Large Language Models for Comprehensive Spatial Transcriptomics Analysis
Reference 47
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Observation 7acbae65-41aa-4434-8170-d127c3bb1fab · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent A vision–language foundation model for precision oncology,
Reference 48
Source-reported events for the cited work
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Observation bdacd4af-4631-4cd4-8c73-486bffaec11a · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Large Language Models in radiology: A technical and clinical perspective,
Reference 49
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Observation f75262ea-b5d0-49f1-9959-d7189b39a289 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
Reference 50
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Observation 6b05f104-ab04-4370-aff9-a5e5aa59f0fa · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Reference 51
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Observation 7efd66d4-b985-47d8-9570-ef8c2dda28e2 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Spatialagent: An autonomous ai agent for spatial biology,
Reference 52
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Observation bcff5c31-1a3a-42b9-a184-75a8e27f536b · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
Reference 53
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Observation df969006-830f-40ce-88bc-f5fd839b0764 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
Reference 54
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Observation 2feaeccc-1451-45ba-89d5-eaaf6e74be69 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent ReAct: Synergizing Reasoning and Acting in Language Models
Reference 55
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Observation dcc6e6dc-78dc-4983-9ee4-f72c1fa080bd · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Bridging biodegradable metals and biodegradable polymers: A comprehensive review of biodegradable metal–organic frameworks for biomedical application,
Reference 56
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Observation 3145c4c9-f980-47d1-b1b6-8357c68b5206 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitigating lithium void formation in all-solid-state batteries via a high lithium diffusion 3D composite interlayer,
Reference 57
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Observation 0533ba5a-3d4a-4099-8ec7-418088649d5a · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Fleming: An AI Agent for Antibiotic Discovery in Mycobacterium Tuberculosis,
Reference 58
Source-reported events for the cited work
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Observation 4ac5190e-c30d-4f6f-b558-bd5d6fcbd9aa · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Tx-LLM: A Large Language Model for Therapeutics
Reference 59
Source-reported events for the cited work
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Observation e43da4d7-284f-4300-b2cd-e6f66ba3a388 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent TxGemma: Efficient and Agentic LLMs for Therapeutics
Reference 60
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Observation 12a6fd33-0c57-4148-9435-6ea8d21a7043 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning
Reference 61
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Observation ee89f365-cd29-4422-9c52-eab8a44b4cc0 · outbound
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Reference 62
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Observation 82e6dcc8-3239-458b-af5a-d9ed892575a3 · outbound
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Reference 63
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Observation 15b0fc4e-30b9-4536-8a55-70dee949705b · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data,
Reference 64
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Observation 791c2b17-48df-40d7-80c0-5c28010e7134 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent The Interactome of Protein, DNA, and RNA,
Reference 65
Source-reported events for the cited work
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Observation c7d6f7d8-dae3-4610-9420-87a2041d285d · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Understanding Protein Functions in the Biological Context,
Reference 66
Source-reported events for the cited work
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Observation 11e9edf6-cc66-4755-9bae-a126f6b63ba7 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Advancing bioinformatics with large language models: components, applications and perspectives,
Reference 67
Source-reported events for the cited work
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Observation 12651d65-e697-4bd3-ba57-5e7827c4770b · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial OXPHOS complex assembly lines,
Reference 68
Source-reported events for the cited work
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Observation 8df943c2-ab33-40d9-9a0c-522e97af9357 · outbound
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Reference 69
Source-reported events for the cited work
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Observation 61b39c23-fa84-4003-933f-09bccff99b5a · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial DNA variation and cancer,
Reference 70
Source-reported events for the cited work
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Observation e9f7a1e0-dd47-413e-ba4c-3c5bf0699ead · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial DNA mutation enhances sensitivity to immunotherapy in melanoma,
Reference 71
Source-reported events for the cited work
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Observation 9919e9bd-e0c1-43ab-bfb9-495a22dcfb01 · outbound
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Reference 72
Source-reported events for the cited work
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Observation 2baca345-3694-4711-82ff-7d49143036d4 · outbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial DNA-triggered innate immune response: mechanisms and diseases,
Reference 73
Source-reported events for the cited work
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Observation 823d931d-1e52-4af8-a997-05b23c2c07e1 · outbound
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Reference 74
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks,
Reference 75
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent MITOMAP: a human mitochondrial genome database,
Reference 76
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent MitoTrace: A Computational Framework for Analyzing Mitochondrial Variation in Single-Cell RNA Sequencing Data,
Reference 77
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent CellMarker: a manually curated resource of cell markers in human and mouse,
Reference 78
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data,
Reference 79
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Reversed graph embedding resolves complex single-cell trajectories,
Reference 80
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM,
Reference 81
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent scIGANs: single-cell RNA-seq imputation using generative adversarial networks,
Reference 82
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent CCPE: cell cycle pseudotime estimation for single cell RNA-seq data,
Reference 83
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent A Cell Cycle-Aware Network for Data Integration and Label Transferring of Single-Cell RNA-Seq and ATAC-Seq,
Reference 84
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent LVPT: Lazy Velocity Pseudotime Inference Method,
Reference 85
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent DrugFormer: Graph-Enhanced Language Model to Predict Drug Sensitivity,
Reference 86
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Digital profiling of gene expression from histology images with linearized attention,
Reference 87
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types,
Reference 88
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Interpretable niche-based cell‒cell communication inference using multi-view graph neural networks,
Reference 89
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images,
Reference 90
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning,
Reference 91
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data,
Reference 92
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Learning tissue representation by identification of persistent local patterns in spatial omics data,
Reference 93
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Organoids: The current status and biomedical applications,
Reference 94
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Finite element modelling of contracting skeletal muscle,
Reference 95
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Virtual Human Models for Electromagnetic Studies and Their Applications,
Reference 96
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images,
Reference 97
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Genetic heart–brain connections,
Reference 98
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent The Gut-Brain Axis and Its Relation to Parkinson's Disease: A Review,
Reference 99
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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,
Reference 100
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