Latest AI and machine learning research in menopause for healthcare professionals.
Learning to Rank (LeToR) methods have gained increasing attention in drug response prediction, offering a direct way to prioritize effective treatments for cancer cell lines. In this study, we systematically benchmark six ranking loss functions, including state-of-the-art listwise methods, and five types of molecular representations across two large-scale drug screening datasets, CTRP and PRISM. U...
Vertebral compression fractures (VCFs) represent the most prevalent osteoporotic fracture and constitute a growing cause of morbidity, mortality, and healthcare utilization worldwide. Although often considered benign, VCFs are associated with chronic pain, progressive spinal deformity, functional impairment, decreased pulmonary capacity, and increased short- and long-term mortality, especially in ...
Background Artificial intelligence (AI)-assisted colonoscopy reduces costs in colorectal cancer screening, but its incremental value relative to non-A...
RATIONALE AND OBJECTIVES: Opportunistic osteoporosis screening using chest CT is increasingly explored, yet conventional QCT models are calibrated at ...
β-thalassemia comprises a clinically heterogeneous group of disorders in which anemia severity, transfusion exposure, iron loading, and organ complica...
BACKGROUND: Hormone replacement therapy (HRT) is widely prescribed for the management of hormone deficiency, particularly during menopause, yet its ca...
PURPOSE: To compare the accuracy of vertical cup-disc ratios (VCDR), ascertained by machine learning (ML) versus human graders, from fundus images for...
BACKGROUND: Antibody identification testing is essential for preventing hemolytic transfusion reactions from unexpected red cell antibodies. Although ...
Menopause is a complex biological transition associated with physiological and psychosocial changes that can affect health and daily life. Yet, most c...
Osteoporosis-induced bone defects represent a severe clinical challenge that requires high-performance bone repair biomaterials. To address the limite...
INTRODUCTION: Quantitative assessment of the pathologic response (pR) in the eyeball approach remains challenging. Few studies have clearly defined vi...
BACKGROUND: Anti-tumor necrosis factor (TNF) medical therapy is a major advancement for Crohn's disease (CD) management, yet many patients fail to res...
BACKGROUND: Breastfeeding duration is influenced by a complex interplay of obstetric, physiological, and sociodemographic factors. Traditional linear ...
There is growing evidence that human-induced climate change and habitat loss are having negative impacts on insect populations. New technologies have ...
DEGDB, also known as diethylene glycol dibenzoate, is a new eco-conscious plasticizer on the block. However, the environmental and health implications...
Urine is an attractive source of cancer biomarkers because it can be collected non-invasively and repeatedly, yet high diagnostic accuracy in early st...
OBJECTIVE: To evaluate the diagnostic performance of FDA/CE-cleared AI systems for mammography screening and assess their roles across clinical workfl...
BACKGROUND: Large-scale evidence on the role of endoscopy alone as the assessment tool to identify complete response after neoadjuvant therapy in loca...
Unopposed estrogen refers to prolonged estrogenic stimulation in the absence of adequate progesterone-mediated counter-regulation. Unopposed estrogen ...
The care pathway for severe aortic stenosis (AS) remains vulnerable to diagnostic delay, referral inertia, undertreatment, and procedural waiting time...