Objective To evaluate the performance of machine learning (ML) algorithms and to compare
them with logistic regression for the prediction of risk of cardiovascular diseases (CVDs) …

Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here,
we report the development and validation of deep-learning models for the automated …

Background Screening for chronic kidney disease is a challenge in community and primary
care settings, even in high-income countries. We developed an artificial intelligence deep …

Background By 2050, almost 5 billion people globally are projected to have myopia, of
whom 20% are likely to have high myopia with clinically significant risk of sight-threatening …

Refractive errors, including myopia, are the most frequent eye disorders worldwide and an
increasingly common cause of blindness. This genome-wide association meta-analysis in …

Human blood is conventionally considered sterile but recent studies suggest the presence of
a blood microbiome in healthy individuals. Here we characterized the DNA signatures of …

Background The application of deep learning to retinal photographs has yielded promising
results in predicting age, sex, blood pressure, and haematological parameters. However, the …

Tyrosine kinase inhibitors (TKIs) elicit high response rates among individuals with kinase-
driven malignancies, including chronic myeloid leukemia (CML) and epidermal growth factor …

We carried out a genome-wide association study of type-2 diabetes (T2D) in individuals of
South Asian ancestry. Our discovery set included 5,561 individuals with T2D (cases) and …

Deep learning (DL) is a subfield of machine learning (ML), which has recently demonstrated
its potency to significantly improve the quantification and classification workflows in …