Purpose The COVID-19 pandemic caused by the novel Severe Acute Respiratory Syndrome
Corona Virus 2 (SARS-CoV-2) has put the world in a medical crisis for the past three years; …

Omics data are multidimensional, heterogeneous, and high throughput. Robust
computational methods and machine learning (ML)-based models offer new prospects to …

The majority of current approaches for bias and fairness identification or mitigation in
machine learning models are applications for a particular issue that fails to account for the …

Schizophrenia (SCZ) is a chronic, severe, and complex psychiatric disorder that affects all
aspects of personal functioning. While SCZ has a very strong biological component, there …

Motivation Genome-wide association studies (GWAS) present several computational and
statistical challenges for their data analysis, including knowledge discovery, interpretability …

Background The recently identified methylation patterns specific to cell type allows the
tracing of cell death dynamics at the cellular level in health and diseases. This study used …

Despite the success of antiretroviral therapy (ART), individuals with HIV remain at risk for
experiencing non-AIDS adverse events (NAEs), including cardiovascular complications and …

Background Transcriptomic profile differences between patients with bipolar disorder and
healthy controls can be identified using machine learning and can provide information about …

For the treatment of recurrent oral ulcer, total glucosides of paeony is an ideal drug. Long
term application of total glucosides of paeony has low side effects and better patient …

Paeonia lactiflora is a commonly used herb in clinical work of traditional Chinese medicine.
Total glucosides of paeony shows its superiority in the treatment of recurrent oral ulcer. Long …