Researchers pose five guiding questions to improve the use of artificial intelligence in physicians’ clinical decision-making
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2025 18:11 ET (29-Oct-2025 22:11 GMT/UTC)
In a new study from Boston University Chobanian & Avedisian School of Medicine and BU’s College of Engineering, researchers used a special microscope called birefringence microscopy (BRM) paired with an automated deep learning algorithm to reliably count and map myelin damage across whole sections of the brain—something not feasible with other techniques. The ability to image and measure damage to myelin will lead to better understanding the patterns and extent that occurs with disease, injury and normal aging.
A research team led by Professor Guorui Huang from the Department of Endocrine and Metabolic Diseases at Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, has developed an optimized protocol that fundamentally changes how circulating microvesicles (MVs) are isolated and characterized. The study reveals that commonly used methods unintentionally capture platelet fragments rather than true MVs, leading to decades of misinterpretation of their biological functions. The team’s newly defined 3000 g centrifugation threshold eliminates platelet contamination and provides a standardized foundation for future diagnostic and mechanistic studies on extracellular vesicles.
A study of 5,840 older adult migrants in China’s mainland revealed that only 19.9% had received education for self-help in public emergencies. Participation was lower among those aged over 75, long-term migrants, rural residents, individuals with lower education levels, those migrating for family or social reasons, and people without established health records. Researchers stress the need for targeted education strategies, such as online platforms and tailored community programs, to improve preparedness in this vulnerable group.
A new study by the Hebrew University has developed a rapid imaging method that reveals how drugs move through the skin, in just ten minutes. By combining mass spectrometry imaging with an automated analysis tool, the technique maps medication distribution across skin layers without dyes or labels. Tested on antifungal treatments, it offers a faster, more precise way to design safer and more effective topical and transdermal therapies.
elderly. This study aims to assess the prevalence, mortality, and disability-adjusted life years (DALY) burden of cancer among individuals aged 60–94 worldwide from 1990 to 2021. Data on the prevalence, mortality, and DALY for 35 cancer types in the elderly were derived from the Global Burden of Disease Study (GBD) spanning 1990 to 2021. The analysis was performed at four stratified levels: global, 21 GBD regions, 204 countries, and five sociodemographic index (SDI) categories. Age-standardized rates for prevalence, mortality, and DALYs were computed. In 2021, the global elderly population (60–94 years) reported 691.13 × 105 [627.13 × 105, 773.82 × 105] cancer cases and 71.86 × 105 [65.07 × 105, 77.31 × 105] cancer deaths, with a DALY total of approximately 1394.17 × 105 [1281.20 × 105, 1495.54 × 105]. Trends indicate a gradual increase in cancer cases and mortality over time, with DALY rates escalating with aging. Notably, high-income North America exhibited the highest age-standardized prevalence. High SDI regions faced the most substantial elderly cancer burden. The burden of cancer among the elderly exhibits considerable variability globally, with developed socioeconomic areas experiencing a greater prevalence than those in underdeveloped regions, necessitating urgent attention from health professionals.