Over the past decade, numerous online databases have been established to provide information
and data contained in thousands of primary environmental valuation studies conducted …

Simple Summary We developed a predictive approach using different machine learning
methods to identify a number of genes that can potentially serve as novel diagnostic colon …

Introduction We explored the clinical and biochemical differences in demographics,
presentation and management of diabetic ketoacidosis (DKA) in adults with type 1 and type 2 …

Background Non-pharmaceutical interventions (NPIs), such as travel restrictions, social
distancing and isolation policies, aimed at controlling the spread of COVID-19 may have …

Integrative multiomics data analysis provides a unique opportunity for the mechanistic
understanding of colorectal cancer (CRC) in addition to the identification of potential novel …

Background Exposure to domestic violence and abuse (DVA) is a global public health issue
associated with substantial morbidity and mortality. There are few high-quality studies that …

Motivation Existing microbiome-based disease prediction relies on the ability of machine
learning methods to differentiate disease from healthy subjects based on the observed taxa …

Background Childhood maltreatment affects over one in three children worldwide and is
associated with a substantial disease burden. This study explores the association between …

Colon adenocarcinoma (COAD) is a common tumor of the gastrointestinal tract with a high
mortality rate. Current research has identified many genes associated with immune infiltration …

Modern medicine is aiming to merge two concepts in clinical practice: providing highly
personalised precision medicine on the one hand (individualised), and implementing evidence‐…