Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.

Read more about AI-driven learning analytics struggle to deliver measurable gains in higher education on Devdiscourse ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology We used an innovative machine learning approach to analyze ...

The Opioid Risk Tool for Opioid Use Disorder may help identify patients with chronic noncancer pain at increased risk for OUD ...

A recent study published in Scientific Reports highlights the potential of PyCaret, an automated machine learning (ML) ...

Revvity, Inc. has unveiled Signals Xynthetica, an AI models-as-a-service platform linking in-silico molecular and materials design with wet-lab data, enabling scientists to predict, test, and optimize ...

DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...

The researchers suggest that this improvement in diagnostic performance for OFC biomarker discovery can be used to develop a diagnostic alternative for food allergy that is scalable and more efficient ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...