Primary Care

Effect of cataracts on systemic factor prediction from fundus images.

OBJECTIVE: To evaluate the effect of cataracts on systemic factor predictions from fundus images by comparing predictive values before and after cataract surgery. METHOD: This Retrospective study includes consecutive patients who underwent cataract surgery between January 2024 and July 2024 at Kagoshima University Hospital. Pre- and postoperative fundus images were obtained. Systemic factors were ...

Teleophthalmology for Retinal Disease Screening and Referral in Low- and Middle-Income Countries: A Case Overview of India.

Innovations like teleophthalmology have made great strides in improving access to care for patients with retinal disease by enabling prompt screening and referral, especially in underprivileged areas. This review highlights the growing role of teleophthalmology in addressing the burden of few retinal diseases like diabetic retinopathy (DR), age-related macular degeneration (ARMD), and retinopathy ...

Cost-Effectiveness and Budget Impact of Lung Cancer Screening: A Systematic Review.

INTRODUCTION: Clinical trials have demonstrated the benefits of early detection of lung cancer (LC); however, the implementation of national LC screen...

AI-based color vision screening and educational counseling for high school students: An experimental study.

Color vision deficiency (CVD) can negatively affect students' learning experiences and career choices; however, combined screening and educational cou...

Optical hand kinematics for machine learning-based screening of carpal tunnel syndrome.

Carpal tunnel syndrome (CTS) is usually assessed by clinical examination and electrodiagnostic testing, but these methods may not always be practical ...

Rapid and energy-efficient ultra-large library screening for drug discovery on a SpiNNaker2 neuromorphic chip.

The virtual screening of make-on-demand small molecule libraries can prioritize drug candidates for rapid experimental validation to accelerate pre-cl...

Identification and validation of an explainable screening model of college students' mental health with therapeutic strategy implications.

Mental health issues, especially depressive symptoms, among young adults represent a public health challenge. Conventional psychological assessment to...

Targeting progressive multiple sclerosis: Toward mechanism-informed precision medicine.

Multiple sclerosis has undergone a therapeutic revolution over the past three decades. Randomized clinical trials and real-world data demonstrate that...

Zero-Shot Large Language Models for Preliminary Prediction of PTSD Symptoms From Clinical Interview Transcripts: Grands modèles de langage sans exemple pour la prédiction préliminaire des symptômes de TSPT à partir de transcriptions d'entrevues cliniques.

BackgroundPosttraumatic stress disorder (PTSD) is common yet frequently underdiagnosed, in part due to barriers to systematic screening and the relian...

Diabetes Care in 2050: A Human-Centered Road Map From Time in Range to Time in Happiness.

By 2050, diabetes care should transform into a human-centered, technology-augmented ecosystem focused on well-being. In this work, we first present a ...

Real-World Assessment of Machine-Learned Docking Using Bioassay-Derived Benchmarks.

The rapid expansion of compound libraries has significantly advanced drug discovery, especially through ultralarge library screenings that provide acc...

ML-guided screening of chalcogenide perovskites as solar energy materials.

Chalcogenide perovskites have emerged as promising absorber materials for next-generation photovoltaic devices, yet their experimental realization rem...

Associations between self-reported symptoms and circulating protein biomarkers: A scoping review protocol.

BACKGROUND: Studies linking self-reported symptoms to circulating protein biomarkers are increasing, partly driven by the rising number of protein bio...

Multiomics integrative bioinformatics analysis of gene expression characteristics and molecular mechanisms in preeclampsia placental tissue.

Preeclampsia (PE) is a severe pregnancy-specific complication characterized by new-onset hypertension and proteinuria after 20 weeks of gestation, whi...

'Healthy menopause': The European Menopause and Andropause Society (EMAS) 2026 framework for precision, digital, and interdisciplinary midlife health.

INTRODUCTION: On average, women now spend more than one-third of their lives in the post-reproductive period, yet menopause care across Europe remains...

Enhanced prediction of coronary heart disease risk in diabetic patients via Machine learning incorporating multiple inflammatory and metabolic indices: A study with Dual-Cohort validation.

BACKGROUND: Coronary heart disease (CHD) remains a leading cause of mortality worldwide, with individuals with diabetes mellitus (DM) facing markedly ...

Interpretable machine learning for cardiovascular disease risk prediction in cancer survivors: development and internal validation.

BACKGROUND: Cardiovascular disease (CVD) is a major concern among cancer survivors. However, the intersection of cancer and CVD has only recently gain...

Development of a Screening Model for Exercise-Induced Desaturation by Machine Learning Method.

BACKGROUND: Exercise-induced desaturation (EID) during the 6-minute walk test (6MWT) is an established marker of adverse outcomes in patients with chr...

MSstatsQC-ML: A Supervised Machine Learning Approach to Monitor System Suitability and Quality Control in Mass Spectrometry-Based Proteomics.

Mass spectrometry offers numerous ways to analyze the composition, function, and interactions of complex proteomes. Unfortunately, it suffers from the...

Artificial intelligence (AI) uses in stereotactic radiosurgery (SRS): diagnosis with brain metastasis (BM) - A systematic review.

BACKGROUND: Brain metastases (BM) are the most common intracranial tumors in adults, and stereotactic radiosurgery (SRS) has become a mainstay of mana...