Abstract: The rapid advancement of artificial intelligence (AI) in healthcare has accelerated innovations in medical algorithms, yet its broader adoption faces critical ethical and technical barriers.

Yale School of Public Health recently unveiled a platform that offers reliable, real-time, synthesized health data directly ...

A large-scale investigation of carnivoran brain diversity, providing a unified description of folding patterns, their relationship to behaviour and ecology, and the foundation for future ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Challenges, including the risk of cognitive overload from dense data representations (e.g., ESM mood-in-context visualisations), were raised. Conclusions: These findings underline the importance of ...

Abstract: Volumetric medical imaging technologies produce detailed 3D representations of anatomical structures. However, effective medical data visualization and exploration pose significant ...

CANTON ‒ Aultman Health System is notifying patients of a third-party data breach that may have compromised personal information such as names, Social Security numbers and certain medical records.

Studies reported on how mHealth data was integrated into workflows, influenced healthcare decisions, and shaped patient-provider interactions. mHealth patient data was found to support patient-centred ...

After years of public discussions and lawsuits, Central Health — the hospital district for Austin and Travis County — can finally put some numbers to the question: How much care for the indigent is ...