Recent developments in a variety of sectors, including health care, research and the direct-
to-consumer industry, have led to a dramatic increase in the amount of genomic data that …

Agnostic metagenomic next-generation sequencing (mNGS) has emerged as a promising
single, universal pathogen detection method for infectious disease diagnostics. This …

Abstract Machine Learning-based scoring and classification of genetic variants aids the
assessment of clinical findings and is employed to prioritize variants in diverse genetic …

Machine learning has the potential to assist many communities in using the large datasets
that are becoming more and more available. Unfortunately, much of that potential is not …

Access to electronic health record (EHR) data has motivated computational advances in
medical research. However, various concerns, particularly over privacy, can limit access to …

The sharing of genomic data holds great promise in advancing precision medicine and
providing personalized treatments and other types of interventions. However, these …

Genomics is a Big Data science and is going to get much bigger, very soon, but it is not
known whether the needs of genomics will exceed other Big Data domains. Projecting to the …

The medical and machine learning communities are relying on the promise of artificial
intelligence (AI) to transform medicine through enabling more accurate decisions and …

Consumer genomics databases have reached the scale of millions of individuals. Recently,
law enforcement authorities have exploited some of these databases to identify suspects via …

During the past decade, genome-wide association studies (GWAS) have been used to
successfully identify tens of thousands of genetic variants associated with complex traits and …