Source link : https://health365.info/ai-driven-evaluation-of-electronic-pathology-pictures-might-give-a-boost-to-pediatric-sarcoma-subtyping/
Credit score: Anna Tarazevich from Pexels
A man-made intelligence (AI)-based fashion correctly labeled pediatric sarcomas the use of electronic pathology pictures by myself, in line with effects introduced on the American Affiliation for Most cancers Analysis (AACR) Annual Assembly, held April 25–30.
Pediatric sarcomas are uncommon and various tumors that may shape in quite a lot of forms of comfortable tissue, together with muscle, tendons, fats, blood or lymphatic vessels, nerves, or the tissue surrounding joints. Sarcomas are labeled into subtypes in keeping with a number of elements, together with the tissue of foundation and quite a lot of molecular options.
“Accurate classification of a patient’s sarcoma subtype is an important step that helps guide and optimize treatment,” stated Adam Thiesen, an MD/Ph.D. candidate at UConn Well being and The Jackson Laboratory within the lab of Jeffrey Chuang, Ph.D..
“Unfortunately, the heterogeneity of sarcomas makes them particularly difficult to classify, often requiring complex molecular and genetic testing, as well as external review by highly specialized pathologists who use pattern recognition skills honed through years of training to arrive at a diagnosis—resources that are not readily available in many health care settings.”
On this learn about, Thiesen and co-workers tested the possibility of AI to correctly establish pediatric sarcoma subtypes. They used 691 electronic pictures…
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Publish date : 2025-04-29 21:41:00
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