Psychiatry Advisor

Machine Learning May Improve Screening and Prediction of Suicidal Ideation

Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.
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 ...
European Medical Journal

Machine Learning Improves Colorectal Cancer Recurrence Prediction

Machine learning predicted colorectal cancer liver metastases recurrence and survival, with dynamic models improving risk ...

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 Delirium After Cardiac Surgery

Machine learning predicted postoperative delirium after cardiac surgery, with random forest showing the strongest performance ...

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 ...
BIOENGINEER

Machine Learning Leads Soil Mapping Race, but No Single Model Wins Everywhere

A first-of-its-kind systematic review of 190 studies finds that HASM, Euclidean-enhanced machine learning, and Bayesian ...
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 ...
Nature

Machine Learning Techniques for Groundwater Level Prediction

Accurate forecasting of groundwater levels is critical for sustainable water management, agricultural planning and flood mitigation. Traditional physics-based models, while grounded in hydrological ...

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 ...
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 ...

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 ...