BIOENGINEER

Federated Learning Meets a Hard Truth: Stroke Prediction Exposes the Gaps in Privacy-Preserving Healthcare AI

A new Cluster Computing study using stroke prediction shows that federated learning in healthcare will fail unless it ...
BIOENGINEER

AI Model Flags Which Food-Allergic Babies Will Develop Asthma by School Age

A prospective study of 447 food-allergic infants reports a cost-sensitive ensemble model that predicts school-age asthma with ...

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) ...
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 ...
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

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 ...

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 ...
AZoBuild

AI Model Predicts Wastewater-Exposed Concrete Strength With 96% R2

Optimized AI models could help estimate concrete compressive strength in wastewater environments and support future ...
TMCnet

Crypto Price Prediction Models Explained: Technical, Fundamental and AI Methods

Crypto price prediction models fall into three broad groups. Technical models analyze historical price, volume, volatility ...

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 ...