Local LLM Serving: Mechanisms and Optimization

SiamQuality: A ConvNet-Based Foundation Model for Imperfect Physiological Signals

Development and prospective implementation of a large language model based system for early sepsis prediction

MEDS: Medical Event Data Standard

Hierarchical MoE: Continuous Multimodal Emotion Recognition with Incomplete and Asynchronous Inputs

Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer

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