Pancreatic Diseases

Machine learning models for predicting metabolic syndrome to support clinical decision-making in ART-treated adults living with HIV.

BACKGROUND: Metabolic syndrome (MetS) is an emerging complication among people living with HIV (PLHIV) receiving long-term antiretroviral therapy (ART), particularly with protease and integrase inhibitor regimens. Early identification of high-risk individuals remains challenging, and predictive tools are limited in African settings. This study evaluated nine machine learning (ML) algorithms for pr...

Prediction of cancer-associated thrombosis by machine learning: results from the Vienna Cancer and Thrombosis Study.

BACKGROUND: Improved risk prediction of cancer-associated venous thromboembolism (VTE) remains an unmet clinical need. We aimed to apply machine learning for the prediction of cancer-associated VTE. PATIENTS AND METHODS: Data from the Vienna Cancer and Thrombosis Study (Vienna-CATS), a prospective cohort study that included patients with cancer from 2003-2019, were used. Patient characteristics an...

[Stratified application of CA19-9 in the surveillance of postoperative recurrence of pancreatic cancer].

Pancreatic cancer is characterized by high postoperative metastasis and recurrence rates, making the identification of early recurrence markers with h...

[Application research and evolutionary history of risk prediction models for postoperative pancreatic fistula after pancreaticoduodenectomy].

Postoperative pancreatic fistula (POPF) is a severe complication following pancreaticoduodenectomy,among which clinically relevant postoperative pancr...

Deep chemical structure graph learning deciphers the lipotoxicity code of hypertriglyceridemic pancreatitis.

The discrepancy between serum triglyceride levels and the clinical severity of hyperlipidemic acute pancreatitis (HLAP) complicates risk stratificatio...

Identification of PANoptosis-related gene SIK1 in MASLD by bioinformatics, machine learning and experimental validation.

OBJECTIVE: Metabolic dysfunction-associated steatotic liver disease (MASLD) constitutes a chronic inflammatory condition within the spectrum of metabo...

What Are Computer-Assisted Methods Achieving in Fine-Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta-Analysis.

OBJECTIVE: Pancreatic malignancies present major diagnostic challenges. The gold standard for diagnosis is endoscopic ultrasound-guided fine-needle as...

Evolution of Gastrointestinal Inflammatory Diseases and Neoplasm Burden in Super-Elderly Populations: Integrated GBD 2023, CHARLS, and CLHLS Analyses of China and G20 Countries.

BACKGROUND: Rapid population aging has profoundly altered the epidemiological profile of gastrointestinal diseases in individuals aged ≥75 years. Alth...

Integrating single-cell analysis and digital pathology for risk stratification in pancreatic cancer.

Early liver metastasis is a major factor contributing to the poor prognosis of pancreatic ductal adenocarcinoma (PDAC). Single-cell RNA sequencing (sc...

Using deep learning to identify brain networks mediating cognitive and motor impairments in alcohol use disorder.

Alcohol Use Disorder (AUD), with a lifetime prevalence of 29.1% in the U.S., is associated with functional impairment affecting visuospatial working m...

Unraveling Separation Mechanisms of Propanol Isomers and Water in LTA Zeolites via Deep Potential Molecular Dynamics.

High-purity isopropanol (IPA) is one of the most widely used solvents in numerous industry processes, and its energy-efficient separation from n-propa...

Global incidence patterns of early-onset gastrointestinal cancers and their ecological associations with behavioural risk factors.

BACKGROUND: Early-onset gastrointestinal cancers (EOGIC) are increasingly recognised as an urgent global health concern. We aimed to describe the glob...

Microbiome in Gastrointestinal Tumors: Implications in Oncogenesis and Therapeutic Response : Microbiome in Gastrointestinal Tumors.

PURPOSE OF REVIEW: To provide an updated overview of the role of the human microbiome in the initiation, progression, and therapeutic response of gast...

Effect of a Personalized Mobile Health Intervention Using Artificial Intelligence (the WARIFA App) Versus a Nonpersonalized Intervention on User-Defined Objectives, Healthy Lifestyles, and Management of Type 1 Diabetes (T1D): Protocol for a Randomized Controlled Trial.

BACKGROUND: Noncommunicable diseases are the leading cause of death worldwide. Cardiovascular and respiratory diseases, cancer, and type 2 diabetes sh...

On-site food monitoring: a smartphone-readable carbon quantum dots sensor for ethanol and dimethylamine.

Carbon quantum dots were synthesized via microwave pyrolysis using o-phenylenediamine and dimethyl 2,2'-azobis(2-methylpropionate) as precursors. Thro...

A novel endoscopic ultrasound system assisted by artificial intelligence for the recognition of pancreatic parenchyma and the detection of solid/cystic lesions.

CACRC-Pan: A Concept Annotated Case Report Corpus and Processing Pipeline for Rare Pancreatic Diseases.

We introduce CACRC-Pan, a corpus of case reports for six rare pancreatic diseases (AIP1-2, CF, HCP, PS and SDS) annotated at two concept levels: token...

Altered EEG markers of reward learning during abstinence in alcohol dependence: A probabilistic reversal learning study.

OBJECTIVE: This study investigated neurophysiological and behavioural adaptations in reward learning and decision making which may contribute to the d...

Maximizing pancreatic carcinoma classification performance using parrot optimized vision transformer.

Pancreatic cancer is a rare kind of cancer that is detected during the final stages. This is because the symptoms are very common and also do not show...

Machine learning and artificial intelligence in liquid biopsy-based early detection of pancreatic cancer: a scoping review.

Pancreatic ductal adenocarcinoma (PDAC) presents as a cancer with an especially poor prognosis, largely due to the challenges surrounding its early di...