Showing 6041-6050 of 10623 results for "".
- Assessing the Role of Surgery in Clinical Complete Response of Advanced Gastric Cancerhttps://reachmd.com/news/assessing-the-role-of-surgery-in-clinical-complete-response-of-advanced-gastric-cancer/2484263/Retrospective single‑center data published in Annals of Surgical Oncology suggest that select patients with advanced gastric cancer who achieve a radiologic and clin
- Lebrikizumab Maintains Efficacy With Reduced Dosing Intervalhttps://reachmd.com/news/lebrikizumab-maintains-efficacy-with-reduced-dosing-interval/2484255/Long-term data from a 32-week extension of the ADjoin trial suggest that lebrikizumab, an IL-13 inhibitor approved for once-monthly dosing, may maintain clinical efficacy in patients with moderate-to-severe atopic dermatitis (AD) even when administered once every 8
- Discrepancies in Polio Vaccination Reporting: Implications for Surveillance and Laboratory Practiceshttps://reachmd.com/news/discrepancies-in-polio-vaccination-reporting-implications-for-surveillance-and-laboratory-practices/2484070/A recent report found a roughly 20% gap between self-reported and documented polio vaccination among survey participants—an inconsis
- AI System Identifies Surgical Phases in Robot-Assisted Prostatectomy Across Multiple Surgeonshttps://reachmd.com/news/ai-system-identifies-surgical-phases-in-robot-assisted-prostatectomy-across-multiple-surgeons/2484044/Researchers at Keio University School of Medicine have developed and validated an artificial intelligence (AI) model for automated recognition of surgical phases in robot-assisted radical prostatectomy (RARP). The
- Hydrocolloid Dressings After Mohs Surgery Yield No Aesthetic Advantage: Studyhttps://reachmd.com/news/hydrocolloid-dressings-after-mohs-surgery-yield-no-aesthetic-advantage-study/2484049/Hydrocolloid dressings (HCDs) and daily petroleum ointment following excisional dermatologic surgery did not perform differently in terms of scar appearance or surgical complications, according to a new trial. The randomized,
- Renal Decompression for Malignant Ureteric Obstruction Yields Modest Survival Gains Amid High Complication Burdenhttps://reachmd.com/news/renal-decompression-for-malignant-ureteric-obstruction-yields-modest-survival-gains-amid-high-complication-burden/2484019/A retrospective cohort study conducted at Lyell McEwin Hospital in Adelaide evaluated clinical outcomes following renal decompression for malignant ureteric obstruction (MUO). The findings describe survival rates,
- New Clues Into Hypoglycemia Awareness: Protein Levels May Signal Brain Adaptations in Type 1 Diabeteshttps://reachmd.com/news/new-clues-into-hypoglycemia-awareness-protein-levels-may-signal-brain-adaptations-in-type-1-diabetes/2484004/A recent proteomics study has identified a potential biomarker linked to impaired awareness of hypoglycemia (IAH), a dangerous complication of type 1 diabetes that leaves patients unable to sense when their blood glucose drops
- Post‑Pandemic Shifts in Childhood Immunity: Surveillance and Vaccination Implicationshttps://reachmd.com/news/postpandemic-shifts-in-childhood-immunity-surveillance-and-vaccination-implications-for-clinicians/2483986/A surveillance investigation found that COVID‑19 nonpharmaceutical interventions are associated with reduced childhood exposure to common pathogens and a post‑pandemi
- AI-Generated ‘Future X-rays’ Offer New Way to Forecast Osteoarthritis Progressionhttps://reachmd.com/news/ai-generated-future-x-rays-offer-new-way-to-forecast-osteoarthritis-progression/2483969/A new AI-powered system may soon give patients with knee osteoarthritis a glimpse into their orthopedic future—quite literally. In a study presented at the MICCAI 2025 conference, researchers from the University
- Machine Learning Models Show High Accuracy in Predicting Pediatric Sepsis Within 48 Hours of ED Visithttps://reachmd.com/news/machine-learning-models-show-high-accuracy-in-predicting-pediatric-sepsis-within-48-hours-of-ed-visit/2483960/A new study published in JAMA Pediatrics reports the successful development and validation of machine‑learning models that estimate a child’s risk of developing sepsis—or