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11 March
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Source: Freepik Copyright: Freepik License: CCBY AI Model Predicts Survival Outcomes for Bladder Cancer Patients with Newfound Accuracy (Toronto, March 11, 2026) Researchers at Fondazione Policlinico Universitario Agostino Gemelli IRCCS have developed a promising machine learning algorithm capable of predicting survival and cause of death for patients with bladder cancer undergoing radical cystectomy. The study, published in JMIR Perioperative Medicine, highlights a significant shift toward using artificial intelligence (AI) to personalize post-surgical care and improve prognostic accuracy. Radical cystectomy is a critical intervention for bladder cancer, yet roughly 50% of patients develop metastases within two years of the procedure. Traditional statistical models often struggle toRead More →

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02 March
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Source: Freepik; Credit: Freepik; CCBY A new analysis reveals most TikTok content about hidradenitis suppurativa in skin of color is created by patients, while little content is created with physician involvement. (Toronto, March 2, 2026) A new study published in JMIR Dermatology shows that TikTok has become a major source of education and support for people with skin of color living with hidradenitis suppurativa—a chronic, painful inflammatory skin disease that disproportionately affects people of color. Characterized by painful lumps, abscesses, and scarring, hidradenitis suppurativa is frequently misdiagnosed or caught late. As a result, many patients are bypassing traditional channels and turning to social media forRead More →