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 ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

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

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

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

Overview Artificial intelligence seems to be transforming drug discovery in 2026, enabling faster molecule design, smarter clinical trials, and reduced R&D ...

In the era of climate crisis, hydrogen vehicles are emerging as an alternative for eco-friendly mobility. However, the fuel cell, known as the "heart of the hydrogen car," still faces limitations of ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Studying gene expression in a cancer patient's cells can help clinical biologists understand the cancer's origin and predict the success of different treatments. But cells are complex and contain many ...

Medical physicist Todd McNutt explains how Plan AI, an artificial intelligence-powered plan quality software solution, uses data mining to streamline and improve radiotherapy planning for cancer treat ...