University of Birmingham

Machine‑learning framework could transform prediction of drug side effects

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
ascopubs.org

Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...
ascopubs.org

Machine learning-based prediction of cytokine release syndrome post CAR-T cell therapy.

Performance evaluation of an AI-powered system for clinical trial eligibility using mCODE data standards. ATheNa-Breast: A real-world pilot of an artificial intelligence (AI) chatbot using therapy ...
Tech Xplore on MSN

'Discovery learning' AI tool predicts battery cycle life with just a few days' data

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

Machine learning could yield faster, cheaper lithium-ion battery development

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...
Semiconductor Engineering

Machine Learning-Based IR Drop Prediction Approach

A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...

AI model forecasts coral heat stress on Florida reefs up to six weeks ahead

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...