Abstract Interest in Machine Learning applications to tackle clinical and biological problems
is increasing. This is driven by promising results reported in many research papers, the …

In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force,
harnessing the power to convert raw data into meaningful insights. Rather than supplanting …

Genomic variant interpretation is a critical step of the diagnostic procedure, often supported
by the application of tools that may predict the damaging impact of each variant or provide a …

Purpose. Artificial intelligence (AI) techniques are used in precision medicine to explore
novel genotypes and phenotypes data. The main aims of precision medicine include early …

One objective of human genetics is to unveil the variants that contribute to human diseases.
With the rapid development and wide use of next-generation sequencing (NGS), massive …

Background Continuously growing of HIV incidence among men who have sex with men
(MSM), as well as the low rate of HIV testing of MSM in China, demonstrates a need for …

The use of advanced computational technologies, such as artificial intelligence (AI), is now
exerting a significant influence on various aspects of life, including healthcare and science …

Artificial intelligence has been showing accelerated growth due to its use in solving
problems in several application domains. This success results from the convergence of large …

Objective The aim of this study was to develop and validate a machine learning-based
predictive model that predicts 90-day mortality in ICU trauma patients. Methods Data of …

Acute myocardial infarction (AMI) or heart attack is a significant global health threat and one
of the leading causes of death. The evolution of machine learning has greatly revamped the …