NetraAI seeks to reveal clinically meaningful response structures that may remain hidden within negative or ambiguous trial results by conventional analyses.As Analytics Platform of the Year, this rec ...

Camo Comes to the Bourbon Shelf Camouflage has been part of outdoor life for a long time. It shows up on hunting jackets and ...

Researchers tracking more than 340 000 people to investigate how different alcohol consumption patterns related to long-term mortality said CVD, cancer, and other causes were all significantly higher ...

The first generation of practical text AI in finance was built on models like BERT and its finance-specific variant FinBERT. These are small classifiers. You train one on thousands of labelled ...

In a short space of time, artificial intelligence has become a whiz at designing proteins, molecular machines that perform ...

“An AI agent could help respond more quickly and accurately to the many calls the business receives from the public and businesses. As a regulator, we could use analytics to better point resources at ...

Compare LLM inference frameworks for production serving, request batching, KV cache management, and efficient deployment.

In a cross-sectional analysis of 7,256 adults from the Maastricht Study, researchers found that greater adherence to the DASH ...

Moving AI workloads to Kubernetes isn't enough. Learn how declarative ML lifecycle management improves recovery, observability, and rollouts.

At the forefront of this movement is a commitment to holistic approaches – from the initial design phase through to the final delivery of products. pacificspin represents a paradigm shift in how ...

Alex Taylor, Vice President and Head of Medicinal Chemistry at Inductive Bio, discusses how predictive ML and AI agents are ...

Background Wearable device data are increasingly used to provide physiological and behavioural measures in clinical studies. Aims This scoping review maps out the data collected by wearable devices ...