BIOENGINEER

Machine Learning Outsmarts Design Codes in Predicting Shear Strength of Recycled Concrete Beams

A new study shows that machine learning models, particularly Support Vector Machines, predict the shear strength of recycled ...

How Much Can Machine Learning Be Used in HPLC Method Development? - Method 'Understanding' and ICH Q14

Hello.This is Pharmer.In this article, I will organize how much machine learning can be used in HPLC method development from ...
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 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 ...

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 ...

The belief that 'features with high variance are important' is a mistake. The real factors that determine machine learning model accuracy

Even if you explain 99% of the variance with PCA, your prediction accuracy might not improve by even 0.1%. This is one of the greatest tricks in statistics. Variance and predictive power are not as ...
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 ...
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 ...

What this machine-learning model with 65% accuracy says is coming next for the 10-year Treasury

HSBC says it’s designed a machine-learning model to predict the direction of the most important financial instrument in global markets.