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BIOENGINEER.ORG - Bioengineering
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News
AI blends CT imaging and gene data to predict gastric cancer survival
1+ week, 6+ day ago (633+ words) Bioengineer.org...
Most AI medical devices cleared for use lacked testing on patient outcomes
3+ week, 2+ day ago (581+ words) Bioengineer.org...
AI Tool in Radiotherapy Advances Global Fight to Eradicate Cervical Cancer
3+ mon, 3+ week ago (1116+ words) Bioengineer.org AI Tool in Radiotherapy Advances Global Fight to Eradicate Cervical Cancer A groundbreaking international clinical trial led by researchers at University College London (UCL) and the London School of Hygiene & Tropical Medicine (LSHTM) has demonstrated the striking effectiveness…...
Visual AI Predicts 5-Year Survival in Elderly Prostate Cancer
4+ mon, 1+ week ago (778+ words) Bioengineer.org In recent years, the intersection of artificial intelligence and healthcare has revitalized prospects for predictive medicine, especially in oncology. A groundbreaking study recently published in BMC Geriatrics by Cheng and Shen pioneers this interface by presenting an explainable…...
AI-Powered Nomogram Predicts Frailty in Elderly COPD
5+ mon, 5+ day ago (279+ words) The implications extend beyond COPD alone. The methodology and conceptual framework formulated in this research can be adapted and applied to other chronic diseases where frailty or similar syndromes modulate prognosis and treatment. This cross-disciplinary applicability positions the research at…...
Advancing Multi-Institutional EHR Studies via Representation Learning
5+ mon, 1+ week ago (1269+ words) Bioengineer.org In a groundbreaking development poised to revolutionize medical research across borders, a team of scientists led by Zhou, D., Tong, H., and Wang, L. has unveiled a novel approach that utilizes representation learning to enhance multi-institutional studies involving electronic health record…...
Thoracic Muscle Loss Predicts Ventilation Need in Elderly
6+ mon, 1+ week ago (207+ words) Clinicians and researchers alike will find value in this study’s methodological rigor. The use of a two-center cohort enhances the generalizability of findings, while cross-validation techniques ensure that the machine learning model maintains reliability when applied to new patient data....