Emerging technologies, such as functional near-infrared spectroscopy, offer in-office real-time monitoring for potential ...

Uncover how mixed-signal ICs are transforming medical wearables with smaller and more power-efficient sensor integration, ...

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

A retrospective study of 3,348 cerebral infarction patients shows machine learning can predict ICU readmission. Logistic ...

A review of machine learning (ML) models developed to support the management of chronic lymphocytic leukemia (CLL) have demonstrated positive outcomes, including accurate diagnosis and improved work ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

ISU students and staff are working to develop a data-driven framework of identifying patients with atrial fibrillation ...

An international team of researchers has reviewed the latest advances in multimodal artificial intelligence (AI) for ...

Cardiovascular disease (CVD) continues to be the world’s leading cause of death, presenting a significant challenge to global health systems. Traditional ...