Research & Development
Study: Proteomic profiling used to track effects of aging, diseases on the eyes
In a study published in
, researchers used proteomic profiling and artificial intelligence (AI) modeling to determine biomarkers and track the progression and effects of aging and disease on the eyes.
October 24, 2023
ADA lowers optimal blood sugar levels for kids
The recommendation was published in Diabetes Care in a review article by Dr. Maria J. Redondo, a pediatric endocrinologist at Texas Children's Hospital and professor at Baylor College of Medicine, as well as Dr. Sarah Lyons, pediatric endocrinologist at Texas Children's and assistant professor at Baylor College of Medicine.
January 14, 2021
Google's deep learning outperforms general pathologists in prostate biopsies
The research comes from a deep-learning/artificial intelligence (AI) research team at Google Health in Palo Alto, CA. For the study, performance of the deep-learning system and general pathologists were compared to assessment by a panel of urologic subspecialist pathologists for the evaluation of prostate cancer needle core biopsy formalin-fixed paraffin-embedded (FFPE) specimens.
July 23, 2020
Smartphones double as point-of-care diagnostics
The technical capabilities of these phones have become so advanced that they can compete with technology once thought to be only the domain of physicians' offices and hospitals. Research groups and startup companies are developing apps and technology that turn smartphones into tools that can diagnose eye disease, perform home-based urinalysis, diagnose ear infections and respiratory disease, and help women learn about their reproductive health.
December 1, 2019
Blood test spots diabetes complications early on
The development is significant for patients with type 2 diabetes because if vascular complications, such as heart disease, atherosclerosis, or kidney failure, are detected at an early stage, preventive treatments could be given to avoid severe clinical outcomes down the line.
October 1, 2019
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