The increasing burden of cardiovascular disease (CVD) remains responsible for morbidity
and mortality worldwide; their effective diagnostic or treatment methods are of great interest …

This review synthesizes the literature on explaining machine-learning models for digital
health data in precision medicine. As healthcare increasingly tailors treatments to individual …

The purpose of this research study is to evaluate the solutions of Titanium and Aluminum
alloy nanofluidic model with gyrotactic microorganisms (TAA-NFMGM) by applying …

Introduction: Breast cancer poses a significant global challenge, prompting researchers to
explore novel approaches for potential treatments. Material and Methods: For in vitro study …

Chronic Obstructive Pulmonary Disease (COPD) is a prevalent pulmonary condition marked
by enduring respiratory symptoms and airflow limitations. Prompt diagnosis is vital for …

Many important biological facts have been found as single-cell RNA sequencing (scRNA-
seq) technology has advanced. With the use of this technology, it is now possible to …

A low-power (∼ 600nW), fully analog integrated architecture for a voting classification
algorithm is introduced. It can effectively handle multiple-input features, maintaining …

As the number of identified proteins has expanded, the accurate identification of proteins
has become a significant challenge in the field of biology. Various computational methods …

Stomach Adenocarcinoma (STAD) significantly impacts global cancer mortality rates. Recent
strides in artificial intelligence (AI), machine learning (ML), and deep learning (DL) have …

Targeted gene therapy may revolutionize disease treatment by precisely treating genetic
defects. This method targets particular cells or tissues with therapeutic genes to treat a …