HRT

Shedding light on neural learning to rank models for anticancer drug prioritization.

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...

Diagnostic decision-making, vertebral augmentation, and osteoporosis therapy in vertebral compression fractures: a narrative review.

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 ...

A Novel Machine Learning-Based Semi-Automated Phantom-Less QCT Model for Osteoporosis Screening on 100 kVp Ultra-Low-Dose Chest CT: A Phantom Study.

RATIONALE AND OBJECTIVES: Opportunistic osteoporosis screening using chest CT is increasingly explored, yet conventional QCT models are calibrated at ...

Causal associations between hormone replacement therapy and brain structure: Evidence from large-scale Mendelian randomization and double machine learning.

BACKGROUND: Hormone replacement therapy (HRT) is widely prescribed for the management of hormone deficiency, particularly during menopause, yet its ca...

A Comparison of Machine Learning and Human Graders for Glaucoma Diagnosis from Fundus Images for Population Screening.

PURPOSE: To compare the accuracy of vertical cup-disc ratios (VCDR), ascertained by machine learning (ML) versus human graders, from fundus images for...

Data-driven insights in menopause: A scoping review of sensors and AI.

Menopause is a complex biological transition associated with physiological and psychosocial changes that can affect health and daily life. Yet, most c...

A β-TCP/PMMA composite bone cement promotes osteogenic differentiation of osteoporotic rBMSCs via Wnt/β-catenin pathway.

Osteoporosis-induced bone defects represent a severe clinical challenge that requires high-performance bone repair biomaterials. To address the limite...

Diethylene glycol dibenzoate an emerging plasticizer disrupts bone formation via MMP3 targeting: Insights from bioinformatics and in vitro validation.

DEGDB, also known as diethylene glycol dibenzoate, is a new eco-conscious plasticizer on the block. However, the environmental and health implications...

Comparative analysis of supervised machine learning algorithms for transdermal drug delivery in brain disorders.

To improve patient compliance and provide stable and prolonged delivery of drugs to the brain, transdermal drug delivery systems (TDDS) are being expl...

Sensitive detection of unopposed estrogen using estrogen receptor functionalized nanoprobes for cancer diagnosis.

Unopposed estrogen refers to prolonged estrogenic stimulation in the absence of adequate progesterone-mediated counter-regulation. Unopposed estrogen ...

A machine learning-based framework for individualized physical activity and strength targets related to women's bone health.

While substantial evidence supports the associations between physical activity and bone health, the present study aims to advance the field by applyin...

Recent advances in biomarkers, artificial intelligence, and targeted therapeutic strategies in breast cancer: Current progress and future perspectives.

Breast cancer is a complex and heterogeneous disease that remains a major global health challenge. Recent progress in molecular biology, artificial in...

Stress Reactions in Bone and Stress Fractures.

The term "stress fracture" encompasses a spectrum of bone injuries resulting from repetitive submaximal loading that exceeds the bone's capacity for r...

Clinical justification for osteoporosis investigation: transitioning from opportunistic to diagnostic referrals from alternative forms of imaging.

Clinical justification remains fundamental to the safe use of imaging involving ionising radiation, requiring a favourable balance between diagnostic ...

Identification and importance analysis of osteoporosis risk factors in perimenopausal women based on the Transformer-LSTM hybrid model and SMOTE.

OBJECTIVE: This study aimed to identify the core risk factors for osteoporosis in perimenopausal women and propose an analytical framework based on th...

An explainable machine learning approach for cervical cancer screening: decoding morphological diagnostic drivers.

BACKGROUND: Cervical cancer screening in primary care is hindered by expert pathologist shortages and heavy diagnostic workloads, leading to fatigue-i...

The Metabolite indole-3-acetic acid of Bacteroides ovatus ameliorates ovariectomy-induced bone loss by activating AhR and inhibiting oxidative stress.

Postmenopausal osteoporosis represents a systemic skeletal condition distinguished by diminished bone mass and heightened skeletal fragility. Emerging...

Transdermal delivery of biologics.

Biologics, including peptides, proteins, antibodies, vaccines and nucleic acid-based therapeutics, have transformed the management of chronic, metabol...

MULTIPREVENT: Integrated screening for smoking-related multimorbidity using low-dose chest computed tomography.

OBJECTIVES: Tobacco consumption, combined with individual genetic predispositions, contributes to an age-dependent risk not only for lung cancer but a...

Side-to-side differences in hip bone mineral density and associated morphological factors.

UNLABELLED: In the analysis of 82 participants using quantitative computed tomography (QCT) images, side-to-side differences in hip bone mineral densi...