European Medical Journal

Machine Learning Predicts Delirium After Cardiac Surgery

Machine learning predicted postoperative delirium after cardiac surgery, with random forest showing the strongest performance ...

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) ...
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

Macrophage Gene Signatures Predict Colorectal Cancer Prognosis, Machine Learning Study Finds

Macrophages, the scavenger cells of the immune system, have long been recognized as double agents inside tumours. Depending on the molecular cues they receive, they can rally anti-cancer defences or, ...
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 ...
Nature

Water Level Forecasting Using Machine Learning Techniques articles from across Nature Portfolio

Uncover the latest and most impactful research in Water Level Forecasting Using Machine Learning Techniques. Explore pioneering discoveries, insightful ideas and new methods from leading researchers ...

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 ...
Analytics Insight

Machine Learning Use Cases: 10 Ways Machine Learning is Used in the Real World

Machine learning helps organizations detect risks, predict outcomes, improve services, and make faster decisions.Modern ML now combines da ...
Frontiers

Renewing Focus on Methodological Rigour in Clinical Machine Learning

Clinical machine learning is increasingly used for prediction, diagnosis, prognosis, risk stratification, and treatment-related decision support. These ...
American Institute of Physics

Dimensionless framework improves transferability in prediction of porosity of aluminum and steel welds

Drawing together discrete porosity data with models describing their underlying physics yields dimensionless physical ...
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 ...