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

Various extrinsic and intrinsic factors such as drug exposures, antibiotic treatments,
smoking, lifestyle, genetics, immune responses, and the gut microbiome characterize …

Early and accurate diagnosis is crucial to prevent disease development and define
therapeutic strategies. Due to predominantly unspecific symptoms, diagnosis of autoimmune …

Alzheimer's disease (AD) is a neurodegenerative disease whose molecular mechanisms
are activated several years before cognitive symptoms appear. Genotype-based prediction …

High-throughput sequencing allowed the discovery of many disease variants, but nowadays
it is becoming clear that the abundance of genomics data mostly just moved the bottleneck …

Synonymous single nucleotide variants (sSNVs) are common in the human genome but are
often overlooked. However, sSNVs can have significant biological impact and may lead to …

Background Inflammatory bowel disease [IBD] is a chronic inflammatory disorder with two
main subtypes: Crohn's disease [CD] and ulcerative colitis [UC]. Prompt subtype diagnosis …

Background Despite clear evidence of nonlinear interactions in the molecular architecture of
polygenic diseases, linear models have so far appeared optimal in genotype-to-phenotype …

Research of inflammatory bowel disease (IBD) has identified numerous molecular players
involved in the disease development. Even so, the understanding of IBD is incomplete, while …

This study, utilizing high-throughput technologies and Machine Learning (ML), has identified
gene biomarkers and molecular signatures in Inflammatory Bowel Disease (IBD). We could …