BIOENGINEER

Machine-learning model shows moderate accuracy for predicting specialist nurse transfer intentions

A model-development study using 471 specialist nurse samples achieved an AUC of 0.766 for distinguishing stated transfer ...
BIOENGINEER

Retrospective study tests time-specific HCC recurrence prediction after ablation

A retrospective single-center study of 447 patients found that a model integrating glypican-3 with clinical features ...
Nature

Machine learning articles from across Nature Portfolio

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...
Eos

Using Machine Learning Techniques for Polar Vortex Predictions

A new model accurately reproduces aspects of polar vortex behavior, extracting indicators of imminent vortex collapse and accompanying frigid weather in North America and Europe.

Production-Level Machine Learning in FinTech: Designing Data Integrity, Model Validation, and Reliable Decision-Making Systems

Machine learning in financial services operates under different constraints than general-purpose prediction systems.In areas ...

Researchers create machine learning framework for better long-range forecasts

Weather forecasts have historically had a time frame hurdle that most weather models can't accurately predict beyond, but a group of researchers at the Massachusetts Institute of Technology (MIT) say ...

Machine learning isn't just about making predictions: 5 steps learned from housing price prediction [Practical Summary]

"Which products will sell, and how many, next month?""How many hours will this task take?""Can we identify conditions prone ...
Neurology Advisor

Sex-Specific Machine Learning Models Predict 10-Year Dementia Risk

Machine learning models utilizing cardiovascular and lifestyle factors can accurately predict the 10-year risk of dementia in both men and women.
News-Medical.Net

Machine learning models predict pathogen risk in drinking water

Drinking water sources can contain diverse bacterial and viral pathogens, making reliable monitoring essential for public ...

insitro Designed Machine Learning Models for Small Molecule in vivo Pharmacokinetic Behavior Prediction Now Available in Lilly TuneLab

SOUTH SAN FRANCISCO, Calif., October 06, 2026--insitro, the AI company unlocking causal human biology to systematically generate high-impact therapeutics, today announced that the advanced machine ...
Healio

Machine learning deems low-risk extubation failure as high in 18.7% of ventilated patients

Among ventilated adults who underwent extubation, 18.7% were high risk for extubation failure per machine learning even though they met traditional low-risk criteria, according to data presented at ...
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 ...