A research group from Nagoya University in Japan has developed an artificial intelligence for analyzing cell images that uses machine learning to predict the therapeutic effect of drugs. Called in silico FOCUS, this new technology may aid in the discovery of therapeutic agents for neurodegenerative disorders such as Kennedy disease.

A recent study demonstrates that machine learning methods could determine the risk of a viral jump or “spillover” from animals to humans using viral genomes. The research models predicted that genetically similar nonhuman primate viruses had an increased risk of human transmission, which was not the case with other animal groups.

Machine-learning analyses of satellite images can help identify communities needing healthcare services in some of the most remote parts of the planet. Dave Pearson | Connected Care | AI in Healthcare

A machine learning method trained on synthetic breast ultrasound elastography images accurately classified tumors when applied to real-world images.Matt O'Connor | Artificial Intelligence | Health Imaging

AI and machine learning can help physicians rapidly and accurately diagnose diseases—but deployment has been a challenge. Discover how new edge solutions simplify computer vision and data analytics. By Robert Moss, insight.tech

Smart technologies are often touted as the answer to some of cardiology’s greatest challenges in patient care and practice. Randy Young | Artificial Intelligence | AI in Healthcare

Artificial and augmented intelligence are driving the future of medical imaging. Tectonic is the only way to describe the trend. And medical imaging is at the right place at the right time. Mary C. Tierney, MS | Artificial Intelligence | AI in Healthcare

Artificial intelligence (AI) is quickly gaining ground, often bolstered by early adopters who are realizing a competitive advantage and generating a positive return on their investment. Harvard Business Publishing | Sponsor content from Deloitte

ML Tool Detects Biomarker in Stroke Patients. RSNA/AAPM Symposium Focuses on Low-dose CT. Human Factors Impact Reporting of Safety Events. MRI-Based Technology Promising in Alzheimer’s. RSNA Online Series Targets Health Care Economics.

The adoption of machine-learning techniques to aid in diagnosis should be done with radiologists’ guidance. Phil Shaffer | The Scientist Magazine®