News

Artificial intelligence predicts kidney cancer therapy response
An artificial intelligence (AI)-based model developed by UT Southwestern Medical Center researchers can accurately predict ...
Becker's Hospital Review3d
Mount Sinai creates AI algorithm to identify heart disease
Researchers from New York City-based Mount Sinai have developed an AI algorithm to help physicians identify patients with hypertrophic cardiomyopathy by assigning a numeric probability risk ...
Pharmabiz4d
CHOP, Penn Medicine researchers use deep learning algorithm to pinpoint potential disease-causing variants in non-coding regions of the human genome
Researchers from Children’s Hospital of Philadelphia (CHOP) and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) have successfully employed an algorithm to identify ...
The American Journal of Managed Care4d
Overview of Treatment Landscape for IgA Nephropathy: Standard of Care and KDIGO Guidelines
Panelists discuss how immunoglobulin A (IgA) nephropathy treatment has evolved to include supportive care with optimized ...
Medscape6d
Do Aluminium-based Phosphate Binders Continue to Have a Role in Contemporary Nephrology Practice?
Discussion: The K/DOQI and KDIGO guidelines both suggest avoiding aluminium-containing binders. These guidelines will tend to promote the use of the newer, more expensive binders (lanthanum ...
National Institute for Health and Care Excellence2d
Published guidance, NICE advice and quality standards
Ruxolitinib for treating acute graft versus host disease that responds inadequately to corticosteroids in people 12 years and over TA1054 15 April 2025 15 April 2025 ...
Frontiers4d
Comparison of artificial intelligence-generated and physician-generated patient education materials on early diabetic kidney disease
Background: Diabetic kidney disease (DKD) is a common and serious complication ... and ChatGLM4 generated 2 versions of PEMs based on American Diabetes Association(ADA) guidelines and without ADA ...