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 …

Advances in high-throughput genotyping and next-generation sequencing (NGS) coupled
with larger sample sizes brings the realization of precision medicine closer than ever …

Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently
available AI systems do not interact with a patient, eg, for anamnesis, and thus are only used …

Background It remains to be determined whether the Alternate Healthy Eating Index 2010
(AHEI-2010) or the Healthy Eating Index 2010 (HEI-2010) is preferably recommended as …

Diabetes is a major cause of mortality worldwide. There are several types of diabetes, with
type 2 diabetes mellitus (T2DM) being the most common. Many factors, including …

Background Published genetic risk scores for breast cancer (BC) so far have been based on
a relatively small number of markers and are not necessarily using the full potential of large …

The exploration of 'gene–environment interactions'(G× E) is important for disease prediction
and prevention. The scientific community usually uses external information to construct a …

In 2017, the Centers for Disease Control (CDC) estimated that over 20% of type 2 diabetes
(T2D) cases are undiagnosed, representing more than 7 million US residents (CDC National …

Replication and meta‐analysis are routinely conducted when following up genome‐wide
association studies. Replication is a mandatory step in confirming the validity of …

Type 2 diabetes increases the risk of cardiovascular and renal complications, but early risk
prediction can lead to timely intervention and better outcomes. Through summary statistics of …