Source link : https://health365.info/assessing-systemic-sclerosis-with-ai-deep-neural-networks/
Deep Neural Community carried out to trichrome-stained pores and skin biopsy sections. Credit score: Arthritis Analysis & Treatment (2025). DOI: 10.1186/s13075-025-03508-9
Synthetic intelligence (AI) is shaping the way forward for well being care, providing new equipment for previous analysis of illness and extra exact monitoring of remedy results. In a brand new Yale-led learn about, revealed in Arthritis Analysis & Treatment, researchers used one of those AI generation referred to as deep neural community (DNN) research to decipher pores and skin involvement and remedy reaction in sufferers with systemic sclerosis.
Systemic sclerosis (SSc), or scleroderma, is a prolonged autoimmune situation characterised through the overproduction of collagen, a protein that provides tissues power and construction. The overproduction of collagen can result in thickening and hardening of the outside and different spaces, considerably impacting high quality of existence.
“Patients often feel double the stress because systemic sclerosis can affect their internal organs and their outward appearance, making the disease very public,” says Monique Hinchcliff, MD, MS, affiliate professor of drugs (rheumatology, hypersensitive reaction and immunology) and number one investigator of the learn about. “Earlier diagnosis would allow for earlier lifestyle changes and treatment—before internal organ damage occurs—leading to longer, healthier lives.”
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Publish date : 2025-05-05 13:17:00
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