Pain Management

Explainable Survival Modeling in Pediatric Hematopoietic Stem Cell Transplantation Using Landmark-Based Machine Learning.

BACKGROUND: Machine learning survival models can outperform conventional Cox regression in heterogeneous pediatric HSCT cohorts, but clinical adoption is limited by concerns regarding information leakage, time-dependent structure, and interpretability. We evaluated explainable survival modeling aligned to real-world decision points before transplantation and after early post-transplant complicatio...

Integrated machine learning forecasting and grey wolf optimization for optimal operation of virtual power plants in smart distribution networks.

The increasing penetration of distributed energy resources (DERs) necessitates intelligent coordination strategies that simultaneously enhance the technical, economic, and environmental performance of modern distribution networks. This paper proposes an integrated Virtual Power Plant (VPP) framework that combines optimal distributed generation (DG) planning, machine learning-based load forecasting...

DNAJC12 p.Asp44Gly associated with mild hyperphenylalaninemia and migraine-like headaches: Structural and deep learning analyses.

OBJECTIVE: DNAJC12 encodes a J-domain co-chaperone involved in the function of aromatic amino acid hydroxylases, and its deficiency is associated with...

Effectiveness of Socially Assistive Robots in Promoting Positive Emotional Responses and Alleviating Postoperative Pain Among Children: Quantitative Study.

BACKGROUND: Pain remains a critical issue among hospitalized children and may negatively affect postoperative recovery. In addition to pharmacological...

Genome-Wide Association, Polygenic Risk Scores, and Machine Learning for Chronic Post-Surgical Pain Risk Stratification: A UK Biobank Study.

Chronic post-surgical pain is a prevalent and debilitating complication following surgery, representing a clinical challenge. Despite the established ...

A comprehensive descriptive analysis of hip and knee radiographic osteoarthritis in the UK Biobank in relation to joint pain, joint site interrelationships, obesity, race and deprivation: Findings from 59,475 individuals.

OBJECTIVE: Patients with osteoarthritis (OA) affecting multiple joints experience greater pain than those with single-joint disease, yet most research...

Integrated Identification of NAD⁺ Metabolism-Associated Candidate Genes.

Migraine is one of the most disabling neurological diseases globally; however, a significant proportion of patients do not respond to current treatmen...

AI-Based Spatiotemporal Analysis Reveals Distinct Neuronal Markers of Morphine Response during Chronic Pain in Mice.

Treatment of chronic pain often relies on long term use of analgesics, such as opioids like morphine. However, the habit-forming natures of such subst...

Machine learning-based triage of non-red-flag low back pain in national-level collegiate athletes: A cross-sectional study in Taiwan.

BACKGROUND: Non-red-flag low back pain (LBP) is prevalent among athletes, yet field-based triage often hinges on subjective judgment under significant...

Machine learning-based prediction of postoperative nausea and vomiting after spinal anesthesia: A retrospective observational study.

Postoperative nausea and vomiting (PONV) is a frequent and serious complication after surgery. PONV also reduces patient satisfaction with surgery und...

Does Maximum Troponin T Value Correlate With Acute Coronary Occlusion Among Patients Treated as NSTEMI?

BACKGROUND: Occlusion myocardial infarction (OMI) is increasingly recognized among NSTEMI patients, yet current diagnostic paradigms may fail to detec...

Toward the prevention of clinically manifest Parkinson's disease.

Parkinson's disease (PD) is the fastest growing neurological disorder worldwide and is projected to affect unprecedented numbers of individuals by 205...

DMSH-Net: Depth-aware multi-scale hybrid vision network for image dehazing.

Single-image dehazing remains a challenging low-level vision task because haze degradation is inherently depth-dependent and spatially non-uniform. To...

What predicts postoperative opioid prescribing and consumption? A statewide analysis of surgical quality registry data.

OBJECTIVE: Tailoring postoperative opioid recommendations to patient needs requires nuanced understanding of factors contributing to post-discharge op...

Smartphone-Based Physical Performance and Multidimensional Determinants of Self-Reported Knee Pain in Community-Dwelling Older Adults: Cross-Sectional Machine Learning and Network Analysis Study.

BACKGROUND: Knee pain affects 22.9% of individuals aged 40 years and over globally and is associated with body function, activity, environmental, and ...

Digital Monitoring and Chronic Pain Trajectories in Patients Receiving Tertiary Pain Care.

IMPORTANCE: Chronic pain management relies on baseline prognostic models, although digital monitoring may better capture long-term patient trajectorie...

Common Challenges in Predicting Opioid-related Outcomes Using Machine Learning.

Machine learning (ML) models have been commonly utilized to predict various opioid-related outcomes and risks, including post-operative opioid use, op...

Personalized Prediction of Acute and Chronic Postsurgical Pain - the role of Multidomain Biosignatures, Machine Learning-Based Integration, and Standardized Outcome Definitions.

PURPOSE OF THE REVIEW: Acute postsurgical pain (APSP) and chronic postsurgical pain (CPSP) remain prevalent and insufficiently resolved challenges in ...

Deep learning electrocardiogram analysis for rapid rule-out of acute coronary syndrome in the emergency department: a multicenter diagnostic accuracy study.

BACKGROUND: Rapid and accurate exclusion of acute coronary syndrome (ACS) in patients presenting with chest pain remains a major clinical challenge. D...

Leveraging pretrained vision transformers for classifying alcohol use disorder using raw resting-state EEG.

Alcohol Use Disorder (AUD) is a prevalent neuropsychiatric condition affecting about 28 million adults in the USA, with few objective biomarkers to as...