Machine learning approach could bring greater certainty to prenatal genetic testing

Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
BioTechniques

Machine learning approaches for spatial omic data analysis

Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...
Scientific American magazine

Nobel Prize in Physics Awarded for Breakthroughs in Machine Learning

The human brain, with its billions of interconnected neurons giving rise to consciousness, is generally considered the most powerful and flexible computer in the known universe. Yet for decades ...
quantamagazine.org

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Dedeepya Yarra and the rise of trustworthy AI: Where machine learning meets cybersecurity

Dedeepya Yarra's interdisciplinary research interest is the intersection of machine-learning research and cybersecurity, ...
The Manila Times

Xiangtian Hui Examines Machine Learning and Data Engineering Methods for Healthcare Data Systems and Cancer Informatics

A body of healthcare AI research connects data infrastructure, machine learning, and natural language processing across medical applications. The studies examine automated data collection, cancer ...