Intramolecular charge transfer (ICT) is one of the most important photophysical mechanisms in organic fluorophores. Among ICT processes, TICT ...

Discover the impact of digital pathology on drug discovery and biomarker research this International Women’s Day with Dr ...

Researchers at Academia Sinica and National Taiwan University Hospital have developed an AI-powered blood test that detects early-stage pancreatic cancer with near-perfect accuracy in validation ...

This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

AI can help hiring teams handle volume, but AI bias in hiring algorithms can quietly block careers when proxies and past patterns go unchecked ...

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Physical AI connects algorithms to the real world. Learn how embodied systems sense, adapt, and operate beyond pure computation.

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

AINewsWire Editorial Coverage: Artificial intelligence–enhanced service robotics is entering a pivotal phase, evolving from experimental innovation toward real-world operational deployment. This trans ...

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