AI Meets Quantum Computing and the Predictions Get Scary Accurate

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

5 AI Models Tried to Scam Me. Some of Them Were Scary Good

I’ve been following your AI Lab newsletter and really appreciate your insights on open-source AI and agent-based ...
European Medical Journal

HFpEF in Hypertrophic Cardiomyopathy Predicts Poor Outcomes

HFpEF in hypertrophic cardiomyopathy predicts adverse outcomes. Discover how machine learning improves risk assessment.
Journal of Medical Internet Research

Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study

Ensemble learning methods, combining multiple models to improve overall accuracy and reliability, offer a promising approach to address this challenge. Objective: To develop and evaluate efficient ...
IEEE

A Comprehensive Review of Machine Learning Approaches for Semiconductor Device Modeling and Simulation

Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...
Journal of Medical Internet Research

Beyond Comparing Machine Learning and Logistic Regression in Clinical Prediction Modelling: Shifting from Model Debate to Data Quality

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
Fierce Biotech

Small pools, big ideas: How the rare disease community is reimagining clinical trials

The traditional gold standard of clinical trials with a randomized, placebo-controlled design involving hundreds of patients ...
AZoSensors

Sensor-Based Nonlinear Metrics Improve Fall Risk Assessment

This study highlights non-linear center-of-pressure features that enhance clinical assessment of fall risk in older adults, ...
The Lancet

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective ...

lDepartment of Surgery, Meizhou People’s Hospital, Meizhou, China mDepartment of General Practice, Guangdong Provincial Geriatrics Institute, Guangdong Provincial People’s Hospital (Guangdong Academy ...
Frontiers

Comparative analysis of robotic vs. laparoscopic right hepatectomy: propensity score matching and machine learning analysis for outcome prediction

We retrospectively analyzed patients undergoing RRH and LRH, performing a 1:1 PSM based on preoperative characteristics. Postoperative outcomes were compared, and significant predictors of textbook ...