Latest AI and machine learning research in gastroenterology for healthcare professionals.
The high rate of local recurrence in gastric adenocarcinoma (GA) suggests that carcinogenesis is not a focal event but a field-wide process. This phenomenon, known as “field cancerization,” posits that histologically normal peritumoral tissue is, in fact, a pre-neoplastic field harboring incipient molecular alterations that confound genomic studies using it as a normal control. To overcome this li...
Fusobacterium nucleatum has been found to be associated with cancer lesions in both oral and colon cancers. Although important studies have dissected the clinical aspects of its remarkable pathogenicity, there is a lack of molecular studies. Our computational work based on bioinformatics and machine learning methodologies has predicted potential pathogenicity islands. The study has involved the an...
The bacterial pan-genome consists of core genes shared by all members of a taxonomy and accessory genes found in only a subset. The correlation among ...
Liver fibrosis is a progressive pathological condition characterized by hepatic stellate cell (HSC) activation and vascular endothelial dysfunction, w...
Reconstructing individual patient data (IPD) from Kaplan–Meier (KM) plots provides valuable insights for evidence synthesis in clinical research. Howe...
Transformer-based single-cell foundation models often rely on ranked-gene (RG) sequences where genes, ranked by expression, are often not functionally...
We have developed BIOTIA-DX RESISTANCE (BDXR), a bioinformatic tool for predicting antimicrobial resistance (AMR) from whole genome sequencing of micr...
Helicobacter pylori (H. pylori) infection is widespread globally and is linked to outcomes ranging from chronic gastritis to gastric cancer. However, ...
Examining DNA in a liquid biopsy for non-invasive cancer detection relies on identifying dilute signal in a high background. This study aims to identi...
Multiple studies have highlighted the human microbiome’s potential as a biomarker for diagnosing diseases through its interaction with systems like th...
In hematopoietic cell transplant patients, intestinal Candida parapsilosis expansion and translocation cause life-threatening candidemia, yet how comm...
Chemoresistance and epithelial-mesenchymal transition (EMT) are associated with failure of cancer chemotherapy and poor survival of patients. We have ...
The liver’s microenvironment consists of interconnected vascular, biliary, and neural networks that regulate homeostasis and disease progression. Howe...
Drug discovery is being transformed by artificial intelligence, which enables the exploration of vast chemical spaces and the generation of novel comp...
Quantifying tissue molecular and physical integrity is essential for biobank development. However, current assessment methods either involve destructi...
Predicting protein–membrane interactions is a formidable challenge due to the subtle physicochemical features that distinguish membrane-binding region...
Understanding the cells of origin is essential for overcoming therapy resistance in esophageal squamous cell carcinoma (ESCC). We utilized machine lea...
Metabolic dysfunction-associated steatotic liver disease (MASLD, previously NAFLD) is a frequent co-morbidity of obesity and diabetes, with prevalence...
Inflammation is central to pulmonary arterial hypertension (PAH) pathogenesis. The liver regulates systemic immunity, yet its contribution to PAH rema...
Timeseries clinical transcriptomic datasets offer the opportunity to gain insights into the dynamics of disease mechanisms/treatment responses. Howeve...