Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical–Biochemical Parameters

Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical–Biochemical Parameters

<b>Background</b>: This study presents an innovative approach to cardiovascular disease (CVD) risk prediction based on a comprehensive analysis of clinical, immunological and biochemical markers using mathematical modelling and machine learning methods. Baseline data include indices of h...

Full description

Saved in:
Bibliographic Details
Main Authors: Madina Suleimenova, Kuat Abzaliyev, Ainur Manapova, Madina Mansurova, Symbat Abzaliyeva, Saule Doskozhayeva, Akbota Bugibayeva, Almagul Kurmanova, Diana Sundetova, Merey Abdykassymova, Ulzhas Sagalbayeva
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Diagnostics
Subjects:
biomarkers
cardiovascular aging
machine learning
mathematical modeling
immune aging
prediction
Online Access:https://www.mdpi.com/2075-4418/15/15/1903
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-4418/15/15/1903

Similar Items