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.

Junhao Su Studies Machine Learning-Based Android Communication Reliability

A machine-learning framework connects performance prediction with safer software evolution for Android communication ...
BIOENGINEER

AI Graph Model Tackles the Hardest Problem in Drug-Target Prediction

One of the most stubborn obstacles in computational drug discovery is the cold-start problem: how do you predict whether a new drug will interact with a protein target when the model has never seen a ...
Nature

Machine Learning Techniques for Streamflow Forecasting articles from across Nature Portfolio

A precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for ...
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 ...

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 ...
BIOENGINEER

Why 6G Networks Break the Rules of Machine Learning: A New Survey Explains

Sixth-generation wireless networks have been sold to the public as a revolution of speed: holographic calls, tactile internet, autonomous everything. But a new survey published in the International ...
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 ...