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Machine learning model could assist in treatment of MS

Healio March 1, 2023 Robert Herpen Read the full article >> Key takeaways: A machine-learning model produced 46,644 estimated scores on a disability scale from 3,404 scores. Application could increase study volunteers and create potential for a tool to tailor treatment plans. WEST PALM BEACH, Fla. — Application of a machine learning model to databases[…]

Navigating Rare Dermatologic Diseases Using Artificial Intelligence

Dermatology Times February 29, 2024 Kaitlyn Bader, Senior Editor Joseph Zabinski, PhD, MEM Read the full article >> This Rare Disease Day, Joseph Zabinski, PhD, MEM, of OM1, discusses the role of artificial intelligence in helping to detect rare dermatologic diseases. Rare Disease Day has been observed globally every year on the last day of[…]

Revolutionizing GPP Recognition Through Data Collection

Dermatology Times February 29, 2024 Kaitlyn Bader, Senior Editor Stefan Weiss, MD, MBA, FAAD Read the full article >> Rare Disease Day has been observed globally every year on the last day of February since its creation in 2008. This year, Rare Disease Day is observed on February 29, and it is an opportunity to[…]

What Health IT Trend Has You Most Excited?

Healthcare IT Today February 28, 2024 Read the full article >> Burnout is something that can slowly creep up on you but take a long time to crawl out of. This serious problem is something that happens with you are overworked and overstressed from the problems you are tasked with at work. In the world[…]

AI Identifies Clinical Phenotypes of Rapid Fibrosis Progression in MASH

Gastroenterology Advisor Jessica Nye, PhD January 25, 2024 Read the full release >> Key Point: Although a proof-of-concept study, the findings illustrate AI’s potential for creating phenotypic representations of real-world data that can help identify rapid fibrosis progression in MASH. Detailed real-world data from organ systems may be used to stratify patient risk for rapid[…]

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