Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

A new review titled Artificial Intelligence and the Discovery of Antibiotics: Reinventing with Opportunities, Challenges, and ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

ADM, Evolving Systems’ big data platform, securely stores and analyzes massive telecom data, from billing to network reports, ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

The study AI Solutions for Improving Sustainability in Water Resource Management, published in Sustainability, offers a systematic, evidence-based examination of AI applications across the water ...

Over time, the loss of human expertise caused by AI use can impair the quality of that very AI – in the worst case, insidiously and unnoticed. This is the finding of a new study by researchers from ...