The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Evolving Systems Launches AIQ: Powering Smarter Churn Prediction and Personalized Offers for Telecoms

ADM, Evolving Systems’ big data platform, securely stores and analyzes massive telecom data, from billing to network reports, ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Hosted on MSN

Machine learning offers growers a new tool for predicting crop water use

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
News-Medical.Net on MSN

MULTI-evolve accelerates protein engineering with machine learning

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

Machine learning model predicts serious transplant complications months before symptoms appear

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...
The Daily Pennsylvanian

Penn researchers use machine learning to identify tooth decay risk factors

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

Prosper Insights & Analytics Releases Special Report Comparing Prediction Markets to Consumer-Driven Economic Forecasts

New analysis explains why Prosper’s macro forecasts often signal economic shifts weeks or months before prediction ...

Machine learning helps solve a central problem of quantum chemistry

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...