Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML),
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …

Abstract Machine learning methods have been employed to make predictions in psychiatry
from genotypes, with the potential to bring improved prediction of outcomes in psychiatric …

Many approaches to identify therapeutically relevant neoantigens couple tumor sequencing
with bioinformatic algorithms and inferred rules of tumor epitope immunogenicity. However …

DOME: recommendations for supervised machine learning validation in biology | Nature
Methods Skip to main content Thank you for visiting nature.com. You are using a browser version …

Inflammatory bowel disease (IBD) is a complex and multifaceted disorder of the
gastrointestinal tract that is increasing in incidence worldwide and associated with …

Estimating the effects of variants found in disease driver genes opens the door to
personalized therapeutic opportunities. Clinical associations and laboratory experiments …

The number of biomedical image analysis challenges organized per year is steadily
increasing. These international competitions have the purpose of benchmarking algorithms …

Abstract Background The Critical Assessment of Genome Interpretation (CAGI) aims to
advance the state-of-the-art for computational prediction of genetic variant impact …

Abstract Background: The Critical Assessment of Genome Interpretation (CAGI) aims to
advance the state-of-the-art for computational prediction of genetic variant impact …

Background Inflammatory bowel disease (IBD) is a gastrointestinal chronic disease with an
unpredictable disease course. Computational methods such as machine learning (ML) have …