Latest AI and machine learning research in hrt for healthcare professionals.
OBJECTIVES: This study aimed to investigate the effect of body composition on the inverse relationship between vertebral bone density (T12 BMD) and total thoracic vascular calcification (TTVC) in patients with chronic obstructive pulmonary disease (COPD). Moreover, we aimed to assess whether intermuscular adipose tissue (IMAT) affects the bone-vascular axis. MATERIALS AND METHODS: Chest CT scans o...
The menopausal transition represents one of the most complex and heterogeneous periods of women's midlife health, marked by non-linear hormonal fluctuations and interconnected changes across cardiovascular, skeletal, metabolic, neurocognitive, and thermoregulatory systems. Despite decades of research, current approaches remain limited by sparse longitudinal measurements, fragmented organ-specific ...
OBJECTIVE: This study aimed to develop and validate an interpretable machine learning model using readily available biochemical indicators to predict ...
Environmental pollutant mixtures are potential risk factors for metabolic dysfunction-associated steatotic liver disease (MASLD), yet their joint effe...
Existing dietary patterns were not specifically designed to target osteoporosis and lack the precision required for effective prevention. We aimed to ...
Accurate and rapid determination of tumor histopathological features and molecular subtypes is critical for breast cancer prognosis and treatment stra...
INTRODUCTION: Osteoporosis (OP) is a multifactorial skeletal disorder marked by reduced bone mass and microstructural deterioration. We investigated p...
OBJECTIVE: Osteoporosis is a major global health burden and often remains undiagnosed until fragility fractures occur. Dual-energy x-ray absorptiometr...
Dual-energy X-ray absorptiometry (DXA) remains the clinical gold standard for assessing bone mineral density (BMD), guiding diagnosis and therapeutic ...
RATIONALE AND OBJECTIVES: Vertebral fractures (VFs)Â are common, clinically important, and often missed on routine chest or abdominal computed tomograp...
Skeletal muscle functions as an endocrine organ, secreting myokines that mediate interorgan communication with bone. Exercise‑induced myokines regulat...
BACKGROUND: Machine learning (ML) shows promise in using clinical data to predict chronic diseases. However, its application in PMOP risk assessment u...
ETHNOPHARMACOLOGICAL RELEVANCE: Psoralea corylifolia L. (P. corylifolia, also known as Cullen corylifolium (L.) Medik.) is a traditional medicinal her...
An integrated diagnostic strategy of preoperative identification of sentinel lymph node (SLN) metastasis, SLN metastatic burden, and non-SLN (NSLN) me...
Osteoporosis is a skeletal disease that significantly increases fracture risk and imposes a growing public health and economic burden. Notably, hip fr...
UNLABELLED: AI-derived bone mineral density from routine radiographs showed strong agreement with DXA and comparable ability to predict incident fract...
Transdermal drug delivery (TDD) offers a non-invasive method for systemic medication, bypassing first-pass metabolism and allowing controlled release....
Embryo transfer (ET) is a fundamental biotechnology in modern dairy production, utilized to maximize the propagation of superior genetics and circumve...
Opportunistic screening leverages existing imaging examinations performed for unrelated routine clinical indications to systematically extract quantit...
This study explored the feasibility of combining Raman spectroscopic imaging with data-driven modeling for estimating colchicine release from transder...