Preventive Care

High-Throughput Screening for Ageing and Age-Related Disease Drug Discovery: Advances and Challenges.

Ageing is the primary risk factor for many chronic, degenerative, and life-threatening disorders, yet the translational pipeline for geroprotective interventions remains comparatively sparse. Short‑lived, experimentally tractable models with conserved ageing pathways, particularly Caenorhabditis elegans, Drosophila melanogaster, and the African turquoise killifish (Nothobranchius furzeri), have ex...

Comprehensive Assessment of Artificial Intelligence as a Stand-alone tool for Cervical Cancer Screening Using a 50% Negative Cutoff Value.

PURPOSE: An emerging application of artificial intelligence (AI) in cervical cytology is its use as an independent screener for triaging cases that do not require human review. The aim of this study was to assess the possibility of clinical practise. MATERIALS AND METHODS: AICyte alone with a 50% negative cut-off is evaluated with detailed analysis of any AICyte negative cases originally diagnosed...

Enhancing Community-Based Nursing Decision Support: Machine Learning Models for Diabetes Risk Prediction Using Home Health Nursing Notes.

OBJECTIVES: This study aimed to identify high-risk factors for type 2 diabetes and develop a machine learning (ML)-based diabetes prediction model usi...

Innovations in Deaf Health Care Communication: Systematic Review of Sign Language Recognition Systems.

BACKGROUND: Deaf individuals often face communication challenges when interacting with those who can hear. Within health care settings, these challeng...

Digital Enabled Diagnosis System for Mammogram Images Classification Using Machine Learning.

Breast tumor is the most commonly detected tumors and remain one of the leading causes of cancer-related mortality among women worldwide. Although mam...

Association Between Breast Arterial Calcifications and Increased Cardiovascular Risk: A Canadian Perspective on Clinical Implications and the Potential Role in Preventive Care.

Breast arterial calcifications (BAC) are associated with increased cardiovascular risk and have been correlated with other methods of cardiovascular r...

Multimodal fusion of speech and PHQ-9 for machine learning-based adolescent depression screening.

BACKGROUND: Traditional screening for adolescent depression primarily relies on self-reported symptoms. However, this method is vulnerable to under-re...

Transforming oncology clinical trial matching through neuro-symbolic, multi-agent AI and an oncology-specific knowledge graph: a prospective evaluation in 3804 patients.

BACKGROUND: Clinical trial enrollment in oncology remains critically low, with fewer than 5% of eligible adults participating, in large part due to th...

AI Breast Cancer Prediction Tool Hits the Clinic.

An artificial intelligence model called Clairity Breast, which uses mammogram images to predict the 5-year likelihood of breast cancer, was recently l...

Comparison of Artificial Intelligence Tools With Human Coding for Sentiment, Topic, and Thematic Analysis Tasks of Public Health Datasets During the COVID-19 Pandemic in Australia: Case Study.

BACKGROUND: Public opinion, which may be influenced by personal experiences, news, and social media, can impact compliance with public health measures...

Feasibility and Acceptability of AI-Powered Tools for Early Autism Screening in Egypt: Semistructured Focus Group Study.

BACKGROUND: Autism spectrum disorder (ASD) is often underdiagnosed in low- and middle-income countries due to limited specialist access, sociocultural...

Enhancing prediabetes and diabetes detection through a machine learning-enabled self-assessment approach.

OBJECTIVES: Reliable, accessible, noninvasive self-assessment screening for prediabetes/diabetes is lacking, leading to missed opportunities for early...

Community-based early-stage chronic kidney disease screening using explainable machine learning for low-resource settings.

BACKGROUND: Early detection of chronic kidney disease (CKD) is essential for preventing progression to end-stage renal disease. However, existing scre...

mHealth-Enabled Stroke Screening for Pediatric Sickle Cell Disease in Low-Resource Settings: Systematic Literature Review of Critical Barriers, Emerging Technologies, and AI-Driven Solutions.

BACKGROUND: Sickle cell disease (SCD) is a genetic blood disorder affecting millions globally, with life-threatening complications, and most patients ...

Performance of an image-only deep learning breast cancer risk model with the addition of a polygenic risk score.

BACKGROUND: Mammograms contain imaging biomarkers that can predict future breast cancer risk using deep learning (DL) models. We evaluated whether add...

Is scaffold hopping possible in machine learning using the electronic-structure-informatics (ESI) descriptor set? an application to natural-product-based drug discovery of α-glucosidase inhibitors.

The electronic-structure informatics (ESI) descriptor set was applied to discover novel α-glucosidase inhibitors from a natural product (NP) database....

Would You Like a Side of Artificial Intelligence With Your Mammogram? An Experimental Study of Patient Willingness to Pay for Artificial Intelligence.

BACKGROUND: Some radiology practices ask patients to pay out of pocket for supplemental artificial intelligence (AI) interpretations of screening mamm...

Genome Database for Vaccinium: a knowledgebase for genetics, genomics, and breeding research.

The Genome Database for Vaccinium (GDV, https://www.vaccinium.org/) is a knowledgebase serving the global Vaccinium research community. GDV centralize...

Accelerating tuberculosis diagnosis in Mozambican prisons using digital chest X-rays with computer-aided detection: a longitudinal, comprehensive health intervention.

BACKGROUND: Mozambique has a high burden of tuberculosis (TB) and in 2021, an estimated 18,000 persons with TB nationwide were not diagnosed. Estimate...

Prospectively screening for venous thromboembolism in patients with esophagectomy for cancer improves survival: The complexity of simplicity.

BACKGROUND: We implemented a prospective screening program to detect deep venous thromboembolism and define its prevalence in patients with esophageal...