European Medical Journal

Machine Learning Predicts Heparin Response During AF Ablation

Machine learning predicted activated clotting time during AF ablation, with deep learning achieving 81% accuracy.
BIOENGINEER

Machine Learning Model Predicts Long-Term Vision After Surgery for Advanced Diabetic Eye Disease

For millions of people living with diabetes, the most feared complication is not the disease itself but the quiet, ...

How Far Can Machine Learning Be Used for Human Pharmacokinetic Prediction? — Roles of Allometry, PBPK, and Machine Learning

Hello.This is Pharmer.In this article, I will organize how far machine learning can be used for human pharmacokinetics (PK) ...
Medical Xpress

Machine learning can predict preeclampsia by week 34 of pregnancy

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
ascopubs.org

Machine Learning Model for Predicting Severe Adverse Events in Oncology Patients Using the US Food and Drug Administration Adverse Event Reporting System

Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...

Indian-origin sixth-grader trains machine-learning model to spot lithium deposits with 89% accuracy

Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine ...
ascopubs.org

Predicting recurrence and survival in hormone receptor–positive (HR+)/HER2-negative (HER2–) early breast cancer (EBC) with machine learning models: Optimization of model ...

Association of the 70-gene assay and homologous recombination deficiency in patients with high risk 2 breast cancers. Model performance by outcome and number of variables. a Concordance index; scores ...
BIOENGINEER

Machine Learning Pinpoints Nitrogen Uptake as Key to Predicting Rice Yields and Cutting Emissions

Rice feeds more than half of humanity, yet the world’s paddies face a tightening squeeze: demand is projected to reach 650 ...
Phys.org

Using AI to predict earthquakes: Machine learning detects subtle changes before lab-scale fault failures

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...
asce.org

Machine Learning, Wetlands, and Nature-Based Solutions for Coastal Engineering

This presentation explores how machine learning can be used to model storm surge hazards at continental and global scales. Participants will learn why broadscale storm surge information is important ...