Image de couverture de livre

Contextual Invertible World Models: A Neuro-Symbolic Agentic Framework for Colorectal Cancer Drug Response

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Baker, Christopher, Rafferty, Karen, Wang, Hui
Format:	Preprint
Publié:	2026
Sujets:	Quantitative Methods Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence
par: Cao, Kewen, et autres
Publié: (2026)

Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses
par: Feng, Tianshu, et autres
Publié: (2024)

Beyond SMILES: Evaluating Agentic Systems for Drug Discovery
par: Wijaya, Edward
Publié: (2026)

Beyond Protein Language Models: An Agentic LLM Framework for Mechanistic Enzyme Design
par: Jacob, Bruno, et autres
Publié: (2025)

scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
par: Wang, Qing, et autres
Publié: (2025)

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
par: Sheikholeslami, Mahsa, et autres
Publié: (2024)

Tackling Small Sample Survival Analysis via Transfer Learning: A Study of Colorectal Cancer Prognosis
par: Zhao, Yonghao, et autres
Publié: (2025)

Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins
par: Sinclair, Matthew, et autres
Publié: (2025)

AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design
par: Rahman, Sahil, et autres
Publié: (2026)

Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training
par: Xiao, Meng, et autres
Publié: (2025)

Decoding Drug Discovery: Exploring A-to-Z In silico Methods for Beginners
par: Rasul, Hezha O., et autres
Publié: (2024)

Protect$^*$: Steerable Retrosynthesis through Neuro-Symbolic State Encoding
par: Sathyanarayana, Shreyas Vinaya, et autres
Publié: (2026)

Utilizing the RAIN method and Graph SAGE Model to Identify Effective Drug Combinations for Gastric Neoplasm Treatment
par: Pirasteh, S. Z., et autres
Publié: (2025)

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research
par: Muneer, Amgad, et autres
Publié: (2025)

Sample-Efficient Adaptation of Drug-Response Models to Patient Tumors under Strong Biological Domain Shift
par: Cortes, Camille Jimenez, et autres
Publié: (2026)

Pharmacophore-Guided Generative Design of Novel Drug-Like Molecules
par: Podplutova, Ekaterina, et autres
Publié: (2025)

Mantis: A Foundation Model for Mechanistic Disease Forecasting
par: Dudley, Carson, et autres
Publié: (2025)

Benchmark on Drug Target Interaction Modeling from a Drug Structure Perspective
par: Zhang, Xinnan, et autres
Publié: (2024)

fastbmRAG: A Fast Graph-Based RAG Framework for Efficient Processing of Large-Scale Biomedical Literature
par: Meng, Guofeng, et autres
Publié: (2025)

LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
par: De Vito, Gabriele, et autres
Publié: (2025)

DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation
par: Wu, Yushuai, et autres
Publié: (2024)

Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis
par: Abdeldjouad, Fatma Zahra, et autres
Publié: (2024)

Predicting Survivability of Cancer Patients with Metastatic Patterns Using Explainable AI
par: Nalela, Polycarp, et autres
Publié: (2025)

Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates
par: Chen, Kecheng, et autres
Publié: (2025)

Contextualizing biological perturbation experiments through language
par: Wu, Menghua, et autres
Publié: (2025)

Entropy-Reinforced Planning with Large Language Models for Drug Discovery
par: Liu, Xuefeng, et autres
Publié: (2024)

CBINNS: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification
par: Chhetri, Bishal, et autres
Publié: (2025)

Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning
par: Li, Yufeng, et autres
Publié: (2024)

A PBN-RL-XAI Framework for Discovering a "Hit-and-Run" Therapeutic Strategy in Melanoma
par: Liu, Zhonglin
Publié: (2025)

Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
par: Hu, Bing, et autres
Publié: (2024)

Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
par: Hu, Bing, et autres
Publié: (2024)

Pharmacology Knowledge Graphs: Do We Need Chemical Structure for Drug Repurposing?
par: Abo-Dahab, Youssef, et autres
Publié: (2026)

tcrLM: a lightweight protein language model for predicting T cell receptor and epitope binding specificity
par: Fang, Xing, et autres
Publié: (2024)

MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation
par: Yang, Yehui, et autres
Publié: (2026)

MCP-AI: Protocol-Driven Intelligence Framework for Autonomous Reasoning in Healthcare
par: ElSayed, Zag, et autres
Publié: (2025)

Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models
par: Wang, Runchen, et autres
Publié: (2025)

Literature Mining System for Nutraceutical Biosynthesis: From AI Framework to Biological Insight
par: Sun, Xinyang, et autres
Publié: (2025)

Prostate-VarBench: A Benchmark with Interpretable TabNet Framework for Prostate Cancer Variant Classification
par: Tavara, Abraham Francisco Arellano, et autres
Publié: (2025)

Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials
par: Zheng, Yizhen, et autres
Publié: (2024)

scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
par: Yu, Chenglei, et autres
Publié: (2026)