A deep learning pathomics platform may help predict response to immunotherapy in lung cancer patients

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...
Frontiers

Computational Intelligence for Multimodal Biomedical Data Fusion

The integration of artificial intelligence (AI) and computational intelligence techniques has revolutionized biomedical signal processing by enabling more precise disease diagnostics and patient ...

Machine learning detects more than 60,000 earthquakes during 2025 Santorini sequence

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
Chromatography Online

AI/ML in Practice: Enhanced Identification Probability for Non-Targeted Workflows

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...
VnExpress International on MSN

Meet renowned US-based statistics and computer science expert who joins Fields Medalist Ngo Bao Chau to mentor Vietnamese math talents

Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United ...
EurekAlert!

Computational “time machine” shows solar and wind on track for 2°C target but not for 1.5°C

Wind and solar power have grown faster than almost anyone predicted but projecting their future expansion remains ...
IEEE

Analyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting

Abstract: Precise probabilistic forecasts are fundamental for energy risk management, and there is a wide range of both statistical and machine learning models for this purpose. Inherent to these ...

How AI is getting better at finding security holes

Anthropic announced this week that its new model found security flaws in "every major operating system and web browser." Even ...
Scientific Research Publishing

Arrieta-Ibarra, I., Gujral, P., Tannen, J., Tygert, M. and Xu, C. (2022) Metrics of Calibration for Probabilistic Predictions. Journal of Machine Learning Research, 23, 1-54.

ABSTRACT: Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of ...
24/7 Wall St

XRP Social Sentiment Hits “Extreme Negativity”—A Historical Setup for a Reversal?

XRP sentiment hits extreme fear at 24 while institutional ETFs accumulated $424M in December alone, and $1.3 billion in 50 days. Machine learning models achieve 70-91% accuracy predicting crypto moves ...