E-ISSN: 2393-8722 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access
[2393-8722(e)]Â is an interdisciplinary peer-reviewed open access journal launched in 2014 serving in fields involving Biology, Computer Science and Statistics. This Journal focuses on the Research, Review works, and recent developments in the area of …
rrjobi maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.
Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year.
The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score.
Rapid and accurate diagnosis is essential to present day practitioners of medicine, yet can be complicated by the enormous volume and complexity inherent in clinical data.
In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis.
The worldwide burden of Diabetes Mellitus especially Type 2 diabetes (T2D) has escalated to a critical level.
The rising prevalence of diabetes mellitus has emerged as a major global health challenge.
