Erectile Dysfunction

Identification of Erectile Dysfunction From Routine Blood Test Data: Development and Validation of a Machine Learning-Based Prediction Model.

BACKGROUND: Erectile dysfunction (ED) is a prevalent male health disorder and a recognized sentinel marker for cardiovascular disease. Current diagnostic reliance on subjective questionnaires or invasive examinations limits early screening. AIM: We aimed to develop and validate a machine learning model based on routine blood test data to predict ED risk to facilitate its early clinical screening. ...

Hair neuroendocrine signatures of acute stress reaction symptoms: Cross-national validation and latent profile heterogeneity.

The Acute Stress Reaction (ASR) involves transient emotional, somatic, cognitive, and behavioral symptoms after stressful exposure. Acute stress engages neuroendocrine responses and endocannabinoid systems (ECS), yet their joint links to multidimensional ASR symptoms remain unclear. This study characterizes coupling between hair-based neuroendocrine and ECS markers and ASR symptom dimensions, and ...

Development and validation of a LightGBM based machine learning model for predicting postoperative erectile dysfunction after robot assisted radical prostatectomy: a multicenter cohort study.

Postoperative erectile dysfunction remains a highly debilitating complication following robot assisted radical prostatectomy for localized prostate ca...

Machine Learning-Based Prediction of Sperm Retrieval Outcomes in Patients With Klinefelter Syndrome: A Multicenter Study With External Validation.

BACKGROUND: The Klinefelter syndrome is a common genetic cause of male infertility, and testicular sperm extraction (TESE) enables sperm retrieval in ...

Structure-based virtual screening identifies potential endogenous ligands of the human bitter taste receptor TAS2R46.

The sensing of bitter taste mediated by TAS2Rs serves as a defense mechanism against potentially harmful substances. The expression of TAS2Rs in extra...

Separable, nonlinear, and interactive effects of testosterone and cortisol during status competition in humans: Evidence for the context-dependent dual hormone hypothesis.

The Dual Hormone Hypothesis is a biosocial model that describes the interactive effects of testosterone and cortisol on status-relevant behavior. Unde...

DEHP-induced male reproductive toxicity: Evidence from population studies, animal experiments, and multi-omics profiling.

OBJECTIVE: To evaluate the association between di(2-ethylhexyl) phthalate (DEHP) exposure and testosterone deficiency in adult men, and to explore mol...

Identifying critical windows of apparent temperature exposure and male serum reproductive hormone levels.

Although previous studies have suggested that environmental temperature may influence male reproductive hormone levels, evidence regarding the associa...

The Evolution of Precision Anti-Doping From UGT2B17 Polymorphism Insights to Integrated Detection Frameworks.

Screening for endogenous anabolic-androgenic steroid abuse has long relied on the urinary testosterone/epitestosterone (T/E) ratio. However, this metr...

System-level clustering of testosterone-related biomarkers identifies high-risk aging profiles linked to inflammation and renal function.

BACKGROUND: Serum total testosterone (TT) interacts with multiple physiological systems and is implicated in heterogeneous aging processes in men. How...

Drug repurposing in Alzheimer's disease: Emerging therapeutic strategies and promising candidates.

Alzheimer's disease is a progressive neurodegenerative disorder, and the most common cause of dementia, which causes 60-70 % of cases worldwide, and i...

Testosterone-Sparing Treatment Strategies for Biochemically Recurrent Prostate Cancer After Radical Prostatectomy.

PURPOSE OF REVIEW: Biochemical recurrence (BCR) after radical prostatectomy occurs in up to one-third of patients and increases the risk of metastasis...

Sleep Disorders and Male Infertility: Integrated Mechanisms and Precision Therapeutic Strategies.

BACKGROUND: Male factor infertility accounts for nearly half of infertility cases worldwide, yet modifiable lifestyle-related risk factors remain insu...

Pubertal Hormones and the Early Adolescent Female Brain: A Multimodality Brain MRI Study.

Puberty is a critical developmental process that is associated with changes in pubertal (or steroid) hormone levels, which are believed to influence a...

Machine learning detecting aggression among mood disorder patients visited in psychiatric emergency departments.

BACKGROUND: Aggression, which is highly prevalent in patients with mood disorders, has been proven valuable in detecting the progression from hypomani...

Utilization of artificial intelligence in Men's Health: Opportunities for innovation and quality improvement.

Artificial intelligence (AI) is reshaping the landscape of men's health by enhancing diagnostic accuracy, personalizing treatment strategies, and impr...

A multidimensional prediction model for overtraining risk in youth soccer players: Integrating physiological and psychological markers.

Overtraining syndrome (OTS) poses a critical challenge in youth soccer, particularly during periods of rapid physiological maturation combined with hi...

Analyzing the impact of occupational exposures on male fertility indicators: A machine learning approach.

Occupational exposures are critical factors affecting workers' reproductive health. This study investigates the impact of magnetic fields, electric fi...

Regression and machine learning approaches identify potential risk factors for glioblastoma multiforme.

Glioblastoma multiforme is a lethal disease, with a 5-year survival rate of <10%. The identification of risk factors for glioblastoma multiforme is es...

A diagnostic model for polycystic ovary syndrome based on machine learning.

Diagnosis of polycystic ovary syndrome remains a challenge. In this study, we propose constructing a diagnostic model of polycystic ovary syndrome by ...