Artificial intelligence (AI) and “protein language” models can speed the design of monoclonal antibodies that prevent or reduce the severity of potentially life-threatening viral infections, according to a multi-institutional study led by researchers at Vanderbilt University Medical Center.
Volta Medical has announced the U.S. launch of its AF-Xplorer II system, the company’s ‘next-generation’ AI solution which it says is designed to simplify real-time assessment of complex AF.
For the first time, a research team led by the Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI) at the Keck School of Medicine of USC has mapped the genetic architecture of a crucial part of the human brain known as the corpus callosum—the thick band of nerve fibers that connects the brain’s left and right hemispheres. The findings open new pathways for discoveries about mental illness, neurological disorders and other diseases related to defects in this part of the brain.
Chromosomal abnormalities—numerical and structural defects in chromosomes—are a common first step in this process, often contributing to normal cells turning cancerous.
In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that contain features of good candidates for a vaccine.
Researchers from Johns Hopkins Medicine and the Johns Hopkins Bloomberg School of Public Health report that an AI-powered lifestyle intervention app for prediabetes reduced the risk of diabetes similarly to traditional, human-led programs in adults.
The tool integrates with the current laboratory infrastructure, captures images of embryos and creates an AI score.
Randomized, controlled clinical trials are crucial for telling whether a new treatment is safe and effective. But often scientists don’t fully report the details of their trials in a way that allows other researchers to gauge how well they designed and conducted those studies.
The Hong Kong University of Science and Technology (HKUST) today launched SmartPath, a comprehensive artificial intelligence (AI) system designed to transform the entire pathology workflow for cancer care.
In addition to linguistic prompts, large language models can also understand, interpret, and adapt their responses to heart frequency data. Dr. Morris Gellisch, previously of Ruhr University Bochum, Germany, and now at University of Zurich, Switzerland, and Boris Burr from Ruhr University Bochum have developed a technical interface through which the physiological data can be transmitted to the language model in real time.