A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent | Paper Citation Record

Observation a4c9a8f9-07cf-4392-93e1-0d3f07860e7d · outbound

This paper cites Mapping the multiscale structure of biological systems,.

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

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This paper cites Systems Biology: A Brief Overview,.

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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This paper cites Chapter 6 - Artificial intelligence in systems biology,.

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,

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This paper cites Artificial Intelligence in Bioinformatics: Advancements and Applications,.

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,

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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent safe and effective

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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent black boxes,

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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent black box

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This paper cites A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics,.

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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This paper cites Designing deep learning studies in cancer diagnostics,.

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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This paper cites Biology-guided deep learning predicts prognosis and cancer immunotherapy response,.

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

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This paper cites Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass,.

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

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This paper cites Predicting the clinical impact of human mutation with deep neural networks,.

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

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correction dated 2018-12-17. Source: crossref record 10.1038/s41588-018-0329-z->10.1038/s41588-018-0167-z:correction, observed 2026-07-11T02:58:09.574501+00:00. This notice travels one citation hop only.

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This paper cites Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence,.

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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This paper cites Deep learning in pharmacogenomics: from gene regulation to patient stratification,.

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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This paper cites Prediction of drug efficacy from transcriptional profiles with deep learning,.

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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This paper cites Artificial intelligence for modelling infectious disease epidemics,.

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

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This paper cites Machine learning for data-centric epidemic forecasting,.

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

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This paper cites Harnessing machine learning to guide phylogenetic-tree search algorithms,.

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

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This paper cites ModelRevelator: Fast phylogenetic model estimation via deep learning,.

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

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This paper cites Genome modeling and design across all domains of life with Evo 2,.

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,

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This paper cites Perspectives on computational modeling of biological systems and the significance of the SysMod community,.

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

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This paper cites AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships,.

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

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This paper cites A multiscale approach for biomedical machine learning,.

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

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This paper cites INSIHGT: an accessible multi-scale, multi-modal 3D spatial biology platform,.

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

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This paper cites Opportunities and challenges in using real-world data for health care,.

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

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This paper cites Autonomous chemical research with large language models,.

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,

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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

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This paper cites Empowering biomedical discovery with AI agents,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Empowering biomedical discovery with AI agents,

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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

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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

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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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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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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

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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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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,

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This paper cites Enhancing diagnostic capability with multi-agents conversational large language models,.

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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A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent LLM Agent Swarm for Hypothesis-Driven Drug Discovery,

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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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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

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This paper cites Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review,.

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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This paper cites Integrating and formatting biomedical data as pre-calculated knowledge graph embeddings in the Bioteque,.

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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This paper cites Sequence modeling and design from molecular to genome scale with Evo,.

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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This paper cites BioLLM: A standardized framework for integrating and benchmarking single-cell foundation models,.

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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This paper cites scGPT: toward building a foundation model for single-cell multi-omics using generative AI,.

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,

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This paper cites Intelligent single-cell manipulation: LLMs- and object detection-enhanced active-matrix digital microfluidics,.

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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This paper cites SpaCCC: Large language model-based cell-cell communication inference for spatially resolved transcriptomic data,.

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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This paper cites QuST-LLM: Integrating Large Language Models for Comprehensive Spatial Transcriptomics Analysis.

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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This paper cites A vision–language foundation model for precision oncology,.

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

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This paper cites Large Language Models in radiology: A technical and clinical perspective,.

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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This paper cites LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models.

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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This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

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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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

This paper cites TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools.

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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Unavailable: canonical work link unavailable.

Observation df969006-830f-40ce-88bc-f5fd839b0764 · outbound

This paper cites ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.373327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2feaeccc-1451-45ba-89d5-eaaf6e74be69 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.377002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcc6e6dc-78dc-4983-9ee4-f72c1fa080bd · outbound

This paper cites Bridging biodegradable metals and biodegradable polymers: A comprehensive review of biodegradable metal–organic frameworks for biomedical application,.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.381194Z

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Unavailable: canonical work link unavailable.

Observation 3145c4c9-f980-47d1-b1b6-8357c68b5206 · outbound

This paper cites Mitigating lithium void formation in all-solid-state batteries via a high lithium diffusion 3D composite interlayer,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.379073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0533ba5a-3d4a-4099-8ec7-418088649d5a · outbound

This paper cites Fleming: An AI Agent for Antibiotic Discovery in Mycobacterium Tuberculosis,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.366997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ac5190e-c30d-4f6f-b558-bd5d6fcbd9aa · outbound

This paper cites Tx-LLM: A Large Language Model for Therapeutics.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.392346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e43da4d7-284f-4300-b2cd-e6f66ba3a388 · outbound

This paper cites TxGemma: Efficient and Agentic LLMs for Therapeutics.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.396128Z

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Unavailable: canonical work link unavailable.

Observation 12a6fd33-0c57-4148-9435-6ea8d21a7043 · outbound

This paper cites ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.400331Z

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Unavailable: canonical work link unavailable.

Observation ee89f365-cd29-4422-9c52-eab8a44b4cc0 · outbound

This paper cites Automated Hypothesis Validation with Agentic Sequential Falsifications.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Automated Hypothesis Validation with Agentic Sequential Falsifications

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.404063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e6dcc8-3239-458b-af5a-d9ed892575a3 · outbound

This paper cites Autonomous LLM-driven research from data to human-verifiable research papers.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Autonomous LLM-driven research from data to human-verifiable research papers

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.407602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15b0fc4e-30b9-4536-8a55-70dee949705b · outbound

This paper cites Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.335324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 791c2b17-48df-40d7-80c0-5c28010e7134 · outbound

This paper cites The Interactome of Protein, DNA, and RNA,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.324336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7d6f7d8-dae3-4610-9420-87a2041d285d · outbound

This paper cites Understanding Protein Functions in the Biological Context,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.313820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11e9edf6-cc66-4755-9bae-a126f6b63ba7 · outbound

This paper cites Advancing bioinformatics with large language models: components, applications and perspectives,.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.421976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12651d65-e697-4bd3-ba57-5e7827c4770b · outbound

This paper cites Mitochondrial OXPHOS complex assembly lines,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.303340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8df943c2-ab33-40d9-9a0c-522e97af9357 · outbound

This paper cites Mitochondrial dysfunction in neurodegenerative disorders,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial dysfunction in neurodegenerative disorders,

Reference 69

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.293024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 61b39c23-fa84-4003-933f-09bccff99b5a · outbound

This paper cites Mitochondrial DNA variation and cancer,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.281756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e9f7a1e0-dd47-413e-ba4c-3c5bf0699ead · outbound

This paper cites Mitochondrial DNA mutation enhances sensitivity to immunotherapy in melanoma,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.272219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9919e9bd-e0c1-43ab-bfb9-495a22dcfb01 · outbound

This paper cites Mitochondrial and metabolic dysfunction in ageing and age-related diseases,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Mitochondrial and metabolic dysfunction in ageing and age-related diseases,

Reference 72

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.262002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2baca345-3694-4711-82ff-7d49143036d4 · outbound

This paper cites Mitochondrial DNA-triggered innate immune response: mechanisms and diseases,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.250638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 823d931d-1e52-4af8-a997-05b23c2c07e1 · outbound

This paper cites Multifaceted mitochondria: moving mitochondrial science beyond function and dysfunction,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Multifaceted mitochondria: moving mitochondrial science beyond function and dysfunction,

Reference 74

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.239200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8429fdcb-4b06-4bbe-93b5-2459cf24b624 · outbound

This paper cites DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.228311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 271d282d-e30a-4681-b44e-bc08009f3daf · outbound

This paper cites MITOMAP: a human mitochondrial genome database,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.218264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e58922eb-64b5-4bda-9ec1-9b6569be6d7d · outbound

This paper cites MitoTrace: A Computational Framework for Analyzing Mitochondrial Variation in Single-Cell RNA Sequencing Data,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.207524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cbcc45bf-b718-4b9d-a6d1-1060413f0951 · outbound

This paper cites CellMarker: a manually curated resource of cell markers in human and mouse,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.197241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1f96e83-1a42-44f2-b45a-e9be9dbd340b · outbound

This paper cites PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data,.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.466990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce5c4103-7a3e-48f3-be3b-b62199ec5519 · outbound

This paper cites Reversed graph embedding resolves complex single-cell trajectories,.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.470454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f378313-2c54-4f7e-9add-8f4751b568cb · outbound

This paper cites Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM,.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.474485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab86dda-c5bd-4266-95f0-ae62ffcdc84f · outbound

This paper cites scIGANs: single-cell RNA-seq imputation using generative adversarial networks,.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.478333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8205563-42b9-4f78-86be-50067fcc01e0 · outbound

This paper cites CCPE: cell cycle pseudotime estimation for single cell RNA-seq data,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.159675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41ea0d27-44a7-4e20-b01e-fd42f8885ea9 · outbound

This paper cites A Cell Cycle-Aware Network for Data Integration and Label Transferring of Single-Cell RNA-Seq and ATAC-Seq,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.149224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5411eb75-5056-4a90-be18-d1f8ecaf7a53 · outbound

This paper cites LVPT: Lazy Velocity Pseudotime Inference Method,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.138213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f78e9479-2940-4b20-a928-edb66f90ec78 · outbound

This paper cites DrugFormer: Graph-Enhanced Language Model to Predict Drug Sensitivity,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.127427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 95788e82-a8dc-4ce9-b98d-d019591c3780 · outbound

This paper cites Digital profiling of gene expression from histology images with linearized attention,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.116824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66e5620c-f240-4706-a1ef-e36e7eec4f78 · outbound

This paper cites Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.106522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 084e4585-43cb-47e8-94f2-bf3e99edba49 · outbound

This paper cites Interpretable niche-based cell‒cell communication inference using multi-view graph neural networks,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.095795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c6fdaeb-e914-465d-81e1-8d4fbbca998e · outbound

This paper cites Deep learning of cell spatial organizations identifies clinically relevant insights in tissue images,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.083211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 62f4411a-2084-48ed-9e94-5debdd5867e6 · outbound

This paper cites Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.072568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31e37eb0-484c-479b-8995-94739082cff6 · outbound

This paper cites BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.061842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b08ab023-b5dc-44e1-9ac9-758374a040fd · outbound

This paper cites Learning tissue representation by identification of persistent local patterns in spatial omics data,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.050703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b2afc2d-ffd8-4141-a093-e6e71ff4423a · outbound

This paper cites Organoids: The current status and biomedical applications,.

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

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.039398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7d7273d-1530-4fb3-a4d6-b17377884975 · outbound

This paper cites Finite element modelling of contracting skeletal muscle,.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.522370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb65404-0658-437a-acc2-b2c424e7310a · outbound

This paper cites Virtual Human Models for Electromagnetic Studies and Their Applications,.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.525597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6086337-4147-48b2-9e37-e7affc089a36 · outbound

This paper cites Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images,.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.529385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e8fede1-d56f-40dc-8b01-346109fc4377 · outbound

This paper cites Genetic heart–brain connections,.

A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Genetic heart–brain connections,

Reference 98

Resolution: verified exact; doi, observed 2026-08-05T15:32:38.021186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d405581-a67b-437d-8581-cf172281c42c · outbound

This paper cites The Gut-Brain Axis and Its Relation to Parkinson's Disease: A Review,.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.537021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d912a2eb-e5af-472a-acbc-452636653672 · outbound

This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,.

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

Resolution: unresolved; no resolver link, observed 2026-08-05T15:32:37.540454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers