Cardiometabolic biomarker prediction based on retinal fundus image

Cardiometabolic biomarker prediction based on retinal fundus image

<p dir="ltr">Diagnosing common noncommunicable diseases, such as cardiovascular disease and diabetes, typically relies on blood sample analysis for biomarker measurement. This process is invasive, time-consuming, and relatively expensive. To address these limitations, deep learning m...

Full description

Saved in:
Bibliographic Details
Main Author: Syed Abdullah Basit (18021787) (author)
Other Authors: Hamada R.H. Al-Absi (22928605) (author), Saleh Musleh (15279190) (author), Tanvir Alam (638619) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Cardiovascular medicine and haematology
Engineering
Biomedical engineering
Health sciences
Health services and systems
Information and computing sciences
Machine learning
Retinal fundus imaging
Deep learning
Cardiometabolic biomarkers
Non-invasive diagnostics
Qatar Biobank
Artificial intelligence
Cardiovascular disease
Diabetes
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items