Sample-Efficient Adaptation of Drug-Response Models to Patient Tumors under Strong Biological Domain Shift
Fuente:
arXiv
Saved in:
| Main Authors: | Cortes, Camille Jimenez, Lalanda, Philippe, Vega, German |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
by: Wang, Qing, et al.
Published: (2025)
by: Wang, Qing, et al.
Published: (2025)
Benchmark on Drug Target Interaction Modeling from a Drug Structure Perspective
by: Zhang, Xinnan, et al.
Published: (2024)
by: Zhang, Xinnan, et al.
Published: (2024)
DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation
by: Wu, Yushuai, et al.
Published: (2024)
by: Wu, Yushuai, et al.
Published: (2024)
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
by: Bereket, Michael, et al.
Published: (2023)
by: Bereket, Michael, et al.
Published: (2023)
LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
by: De Vito, Gabriele, et al.
Published: (2025)
by: De Vito, Gabriele, et al.
Published: (2025)
Entropy-Reinforced Planning with Large Language Models for Drug Discovery
by: Liu, Xuefeng, et al.
Published: (2024)
by: Liu, Xuefeng, et al.
Published: (2024)
Synthetic Data from Diffusion Models Improve Drug Discovery Prediction
by: Hu, Bing, et al.
Published: (2024)
by: Hu, Bing, et al.
Published: (2024)
Drug Discovery SMILES-to-Pharmacokinetics Diffusion Models with Deep Molecular Understanding
by: Hu, Bing, et al.
Published: (2024)
by: Hu, Bing, et al.
Published: (2024)
Evaluating the Effectiveness of Artificial Intelligence in Predicting Adverse Drug Reactions among Cancer Patients: A Systematic Review and Meta-Analysis
by: Abdeldjouad, Fatma Zahra, et al.
Published: (2024)
by: Abdeldjouad, Fatma Zahra, et al.
Published: (2024)
BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
by: Fang, Yi, et al.
Published: (2025)
by: Fang, Yi, et al.
Published: (2025)
BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning
by: Zhao, Haiteng, et al.
Published: (2025)
by: Zhao, Haiteng, et al.
Published: (2025)
Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials
by: Zheng, Yizhen, et al.
Published: (2024)
by: Zheng, Yizhen, et al.
Published: (2024)
Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning
by: Li, Yufeng, et al.
Published: (2024)
by: Li, Yufeng, et al.
Published: (2024)
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin
by: Barkan, Ella, et al.
Published: (2025)
by: Barkan, Ella, et al.
Published: (2025)
Contextual Invertible World Models: A Neuro-Symbolic Agentic Framework for Colorectal Cancer Drug Response
by: Baker, Christopher, et al.
Published: (2026)
by: Baker, Christopher, et al.
Published: (2026)
LLMs Outperform Experts on Challenging Biology Benchmarks
by: Justen, Lennart
Published: (2025)
by: Justen, Lennart
Published: (2025)
HGTDR: Advancing Drug Repurposing with Heterogeneous Graph Transformers
by: Gharizadeh, Ali, et al.
Published: (2024)
by: Gharizadeh, Ali, et al.
Published: (2024)
Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels
by: Song, Le, et al.
Published: (2024)
by: Song, Le, et al.
Published: (2024)
From Detection to Mechanism: Cross-Attention Graph Neural Networks Enable Drug-Drug Interaction Type Prediction An Ablation Study with Acetylsalicylic Acid Validation
by: Dietrich, Juergen
Published: (2026)
by: Dietrich, Juergen
Published: (2026)
VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism
by: Wu, Jiawei, et al.
Published: (2024)
by: Wu, Jiawei, et al.
Published: (2024)
Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses
by: Feng, Tianshu, et al.
Published: (2024)
by: Feng, Tianshu, et al.
Published: (2024)
Completion of the DrugMatrix Toxicogenomics Database using 3-Dimensional Tensors
by: Nguyen, Tan, et al.
Published: (2025)
by: Nguyen, Tan, et al.
Published: (2025)
Empowering Chemical Structures with Biological Insights for Scalable Phenotypic Virtual Screening
by: Lian, Xiaoqing, et al.
Published: (2026)
by: Lian, Xiaoqing, et al.
Published: (2026)
Feedback Efficient Online Fine-Tuning of Diffusion Models
by: Uehara, Masatoshi, et al.
Published: (2024)
by: Uehara, Masatoshi, et al.
Published: (2024)
DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
by: Sheikholeslami, Mahsa, et al.
Published: (2024)
by: Sheikholeslami, Mahsa, et al.
Published: (2024)
Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction
by: Mojarrad, Fatemeh Nassajian, et al.
Published: (2024)
by: Mojarrad, Fatemeh Nassajian, et al.
Published: (2024)
Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference
by: Hu, Xuanning, et al.
Published: (2026)
by: Hu, Xuanning, et al.
Published: (2026)
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
by: Zheng, Kangyu, et al.
Published: (2024)
by: Zheng, Kangyu, et al.
Published: (2024)
Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning
by: Caranzano, Isabella, et al.
Published: (2025)
by: Caranzano, Isabella, et al.
Published: (2025)
Self-Improvement Imitation with Biologically Guided Search for Protein Design Under Oracle Budgets
by: Khanna, Ashima, et al.
Published: (2026)
by: Khanna, Ashima, et al.
Published: (2026)
Supervised Learning Models for Early Detection of Albuminuria Risk in Type-2 Diabetes Mellitus Patients
by: Muharram, Arief Purnama, et al.
Published: (2023)
by: Muharram, Arief Purnama, et al.
Published: (2023)
Equivariant Graph Attention Networks with Structural Motifs for Predicting Cell Line-Specific Synergistic Drug Combinations
by: Schwehr, Zachary
Published: (2024)
by: Schwehr, Zachary
Published: (2024)
Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design
by: Liu, Shengchao, et al.
Published: (2024)
by: Liu, Shengchao, et al.
Published: (2024)
Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data
by: Li, Tinghuan, et al.
Published: (2025)
by: Li, Tinghuan, et al.
Published: (2025)
Annotation-guided Protein Design with Multi-Level Domain Alignment
by: Yuan, Chaohao, et al.
Published: (2024)
by: Yuan, Chaohao, et al.
Published: (2024)
Distilling and Adapting: A Topology-Aware Framework for Zero-Shot Interaction Prediction in Multiplex Biological Networks
by: Deng, Alana, et al.
Published: (2026)
by: Deng, Alana, et al.
Published: (2026)
HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling
by: Shao, Zihang, et al.
Published: (2025)
by: Shao, Zihang, et al.
Published: (2025)
M$^{3}$-20M: A Large-Scale Multi-Modal Molecule Dataset for AI-driven Drug Design and Discovery
by: Guo, Siyuan, et al.
Published: (2024)
by: Guo, Siyuan, et al.
Published: (2024)
Diffusion Models at the Drug Discovery Frontier: A Review on Generating Small Molecules versus Therapeutic Peptides
by: Wang, Yiquan, et al.
Published: (2025)
by: Wang, Yiquan, et al.
Published: (2025)
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond
by: Xu, Kaichen, et al.
Published: (2024)
by: Xu, Kaichen, et al.
Published: (2024)
Similar Items
-
scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
by: Wang, Qing, et al.
Published: (2025) -
Benchmark on Drug Target Interaction Modeling from a Drug Structure Perspective
by: Zhang, Xinnan, et al.
Published: (2024) -
DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation
by: Wu, Yushuai, et al.
Published: (2024) -
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder
by: Bereket, Michael, et al.
Published: (2023) -
LLMs for Drug-Drug Interaction Prediction: A Comprehensive Comparison
by: De Vito, Gabriele, et al.
Published: (2025)