The LancetOpinion

Deception in clinical large language models: an under-recognised safety risk

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...
The Lancet

Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre ...

aInstitute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing, China ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Dimension-reduced Koopman based Model Predictive Control for Discrete-time Nonlinear Systems Via Block Coordinate Descent

Abstract: This work proposes a Dimension-Reduced Koopman Model Predictive Control (Dr-KMPC) framework for discrete-time nonlinear systems. The main challenges in existing Koopman-based control ...
IEEE

Model Predictive Contouring Control With Barrier and Lyapunov Functions for Stable Path-Following in UAV Systems

Abstract: In this study, we propose a novel method that integrates Nonlinear Model Predictive Contour Control (NMPCC) with an Exponentially Stabilizing Control Lyapunov Function (ES-CLF) and ...