There has been an increasing interest in translating artificial intelligence (AI) research into
clinically-validated applications to improve the performance, capacity, and efficacy of …

The generation of functional genomics data by next-generation sequencing has increased
greatly in the past decade. Broad sharing of these data is essential for research …

Metaverse is expected to emerge as a new paradigm for the next-generation Internet,
providing fully immersive and personalized experiences to socialize, work, and play in self …

Objective: Linear and logistic regression are widely used statistical techniques in population
genetics for analyzing genetic data and uncovering patterns and associations in large …

There are major efforts underway to make genome sequencing a routine part of clinical
practice. A critical barrier to these is achieving practical solutions for data ownership and …

Human gene sequences are considered a primary source of comprehensive information
about different body conditions. A wide variety of diseases including cancer, heart issues …

Genotype imputation is a foundational tool for population genetics. Standard statistical
imputation approaches rely on the co-location of large whole-genome sequencing-based …

Cloud computing allows storing the ever-growing genotype-phenotype datasets crucial for
precision medicine. Due to the sensitive nature of this data and varied laws and regulations …

High-throughput studies of biological systems are rapidly generating a wealth of 'omics'-
scale data. Many of these studies are temporal collecting proteomics and genomics data …

Cancer genomics tailors diagnosis and treatment based on an individual's genetic
information and is the crux of precision medicine. However, analysis and maintenance of …