Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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Emulating real-world GLP-1 efficacy in type 2 diabetes through causal learning and virtual patients.

Randomized controlled trials (RCTs) remain the benchmark for assessing treatment effects but are lim...

Robotics Use in the Care and Management of People Living With Diabetes Mellitus: A Scoping Review.

BACKGROUND: Diabetes prevalence is rising and projected to affect 783 million globally by 2045. Effe...

Optimized sequential classification models for mild cognitive impairment screening based on handwriting and speech data.

BackgroundHandwriting and speech are served as reliable signatures for detecting cognitive decline, ...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...

Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence.

Low birthweight (LBW) is a significant health challenge worldwide, as these neonates experience both...

Diabetic retinopathy detection from fundus images: A wide survey from grading to segmentation of lesions.

Diabetes is one of the most common diseases worldwide and requires accurate diagnosis. Patients with...

Beyond Adverse Childhood Experiences: What Should be Considered for Trauma-Focused Adolescent Mental Health Risk Assessments?

To align with emerging policies for adolescents, feasible, accurate, and equitable trauma-focused as...

AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes.

BACKGROUND: Epicardial adipose tissue (EAT) is associated with cardiometabolic risk in type 2 diabet...

Diabetic foot prevention, assessment, and management using innovative smart wearable technology: a systematic review.

The diabetic foot (DF) is a chief culprit behind significant preventable morbidity and mortality in ...

A multimodal dataset for training deep learning models aimed at detecting and analyzing sleep apnea.

Sleep Apnea Syndrome (SAS) is a serious respiratory disorder that can lead to a range of complicatio...

High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing.

Caenorhabditis elegans is a widely used animal model for researching new disease treatments. In rece...

Heterogeneity in associations between food insecurity and diabetes outcomes.

BACKGROUND: Food insecurity is associated with worse diabetes outcomes, but how that association may...

Using Machine-Learning to Identify Differences in the Association between Blood-Based Biomarkers and Later Life Health Across Race and Ethnicity.

Increasingly, biomarkers are used to understand health and health inequalities among older adults. C...

DNA sequence classification for diabetes mellitus using NuSVC and XGBoost: A comparative.

Diabetes Mellitus is a global health concern, characterized by high blood sugar levels over a prolon...

Virtual Screening of Novel Eco-Friendly Gaseous Dielectrics through Dimensionless Bond Decomposition and Machine Learning Algorithm.

Identification of environmentally friendly gaseous dielectrics to replace the most potent greenhouse...

Developing an accessible dementia assessment tool: Leveraging a residual network, the trail making test, and demographic data.

BackgroundThe global burden of Alzheimer's disease and related dementias is rapidly increasing, part...

Predicting postprandial glucose excursions to personalize dietary interventions for type-2 diabetes management.

Elevated postprandial glucose levels present a global epidemic and a major challenge in type-2 diabe...

Predictiveness and drivers of highly pathogenic avian influenza outbreaks in Europe.

Avian Influenza (AI) outbreaks are on an increasing trajectory. This disease carries a substantial e...

From omics to AI-mapping the pathogenic pathways in type 2 diabetes.

Understanding the biochemical pathways and interorgan cross talk underlying type 2 diabetes (T2D) is...

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