Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
Accurate interpretation of cancer genomics depends on standardized disease classification, tumor characterization, and ...
Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...
The field of genetic data sharing stands at the frontier of biomedical research and clinical innovation, with growing relevance to population health, ...
The field of aging research has rapidly evolved from simply examining lifespan to a broader focus on healthspan, the period during which individuals ...