Machine learning has shown utility in detecting patterns within large, unstructured, and
complex datasets. One of the promising applications of machine learning is in precision …

Prediction of disease risk is an essential part of preventative medicine, often guiding clinical
management. Risk prediction typically includes risk factors such as age, sex, family history of …

Background: Coronary artery disease (CAD) has substantial heritability and a polygenic
architecture. However, the potential of genomic risk scores to help predict CAD outcomes …

Accurate prediction of an individual's phenotype from their DNA sequence is one of the great
promises of genomics and precision medicine. We extend a powerful individual-level data …

Over the past decade, substantial progress has been made in the discovery of alleles
contributing to the risk of coronary artery disease. In addition to providing causal insights into …

In the past decade, precision genomics based medicine has emerged to provide tailored
and effective healthcare for patients depending upon their genetic features. Genome Wide …

Accurate genetic prediction of complex traits can facilitate disease screening, improve early
intervention, and aid in the development of personalized medicine. Genetic prediction of …

Cerebral small vessel disease (cSVD) is a leading cause of ischaemic and haemorrhagic
stroke and a major contributor to dementia. Covert cSVD, which is detectable with brain MRI …

Mounting evidences have highlighted the implementation of big data handling and
management in healthcare industry to improve the clinical services. Various private and …

Omics data integration is already a reality. However, few omics-based algorithms show
enough predictive ability to be implemented into clinics or public health domains. Clinical …