Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Disease development is often shaped by genetics, with how much or how little a gene is expressed influencing disease risk.

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

We show that clinically accredited genomic newborn screening can be delivered with short turnaround times, detects many more conditions than standard newborn screening, and is both clinically ...