DEUS EX MACHINA, the bioinformatics company specializing in Artificial Intelligence, Machine Learning and Analytics for the Food, Nutrition, and Health industry, today announced continued progress for ...

In 2026, choosing an AI track is mostly a decision about outcomes. GenAI programs help you ship faster workflows and software ...

A machine learning model predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...

AI insurance bots deny 50-75% of claims in seconds, with 70% of denials overturned on appeal, potentially contributing to ...

A patented, generalized drug-response foundation model trained to internalize relationships between chemical structure, tumor ...

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...

Abstract: Recent research has highlighted the potential for solar to act as a zero-marginal-cost and zero-emission flexibility resource on the bulk power system when operated with advanced control ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma (HCC), the most common ...

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...

Chronic kidney disease (CKD) and heart failure (HF) share pathophysiological mechanisms, rendering HF one of the most burdensome cardiovascular complication in CKD. Current HF prediction models, ...