A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

Genetic risk models and variant classification tools are refining breast cancer risk assessment by identifying high-risk ...

Background Adverse childhood experiences (ACEs) are traumatic events that occur before a child reaches the age of 15 with ...

Background Few studies have investigated patient-reported non-motor outcomes after stroke in young adults. We aimed to assess ...

Introduction Cervical cancer screening is a critical preventive measure to reduce the burden of cervical cancer. Yet, ...

Objectives We hypothesise that women with type 2 diabetes and hypertension are less likely than comparable men to receive renin–angiotensin system (RAS)-inhibiting antihypertensive treatment, ...

Objectives Delays in cancer diagnosis for patients with non-specific symptoms (NSSs) lead to poorer outcomes. Rapid ...

Cohere's new version of its reranker models, Rerank 4, has a larger context window and self-learns so enterprise AI agents ...

This early experimentation has allowed the company to take a step back and avoid getting swept up in the frantic AI agent ...

SLMs are not replacements for large models, but they can be the foundation for a more intelligent architecture.

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...

An artificial intelligence (AI) model created by integrating clinical, molecular, and histopathological data significantly ...