Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness

Towards autonomous medical artificial intelligence agents

A self-supervised electrocardiogram foundation model for empowering cardiovascular disease prediction and genetic factor discovery

Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation

A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare

Early prediction of circulatory failure in the intensive care unit using machine learning

Chronos: Learning the Language of Time Series

Deep learning models for the prediction of intraoperative hypotension

Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging–Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and Idiopathic Short Stature: Cross-Sectional, Multicenter Study

Enhancing Clinical Efficiency through LLM: Discharge Note Generation for Cardiac Patients

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Wearable biosensors for healthcare monitoring

Re-Calibration 머신러닝 모델의 확률 보정 방법론

Residuals & Deicision Curve Analysis

Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Code as Agent Harness

(Part 4) A Survey of Large Language Models

Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Building 17 Agentic Al Patternsand Their Role in Large-Scale Al Systems

Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals

PulseLM: A Foundation Dataset and Benchmark for PPG-Text Learning

A visual-language foundation model for computational pathology

(Part 3) A Survey of Large Language Models

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making

(Part 2) A Survey of Large Language Models

Reflexion: Language Agents with Verbal Reinforcement Learning

BioCross: A cross-modal framework for unified representation of multi-modal biosignals with heterogeneous metadata fusion

Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals

AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

Generative Agents: Interactive Simulacra of Human Behavior

ReAct: Synergizing Reasoning and Acting in Language Models

Toolformer: Language Models Can Teach Themselves to Use Tools

Empowering biomedical discovery with AI agents

(Part 1) A survey of Large Language Models

A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs

A multimodal sleep foundation model for disease prediction

(Part 3) The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

Why do tree-based models still outperform deep learning on typical tabular data?

Magma: A Foundation Model for Multimodal AI Agents

(Part 2) The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applicationsand Challenges

Gated Transformer Networks for Multivariate Time Series Classification

TabNet:Attentive Interpretable Tabular Learning

Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical Time Series

(Part 1) The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

Learning Important Features Through Propagating Activation Differences

Toward expert-level medical question answering with large language models

A comparative analysis of gradient boosting algorithms

Transformer-based time-series GAN for data augmentation in bridge digital twins

Large Language Models Encode Clinical Knowledge

A Transformer-based Framework for Multivariate Time Series Representation Learning

XGBoost:A Scalable Tree Boosting System

Specialized ECG data augmentation method