Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological evidence linking insulin resistance to cancer remains limited. Here we apply a machine learning-based prediction model of insulin resistance with nine clinical parameters, termed artificial intelligence-derived insulin resistance (AI-IR), to the UK Biobank and demonstrated that AI-IR exhibits the h...
BACKGROUND: Chronic atrophic gastritis (CAG) is a significant precancerous condition of gastric cancer (GC). CAG often lacks typical symptoms in its early stages, and clinical diagnosis relies on gastroscopy and pathological examination, which are invasive and have limitations such as poor patient compliance. Therefore, developing a noninvasive, simple, and generalizable prediction tool is crucial...
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive cancers, typically diagnosed at an advanced stage due to its su...
The purpose of this study was to evaluate the predictive value of monocyte-to-lymphocyte ratio (MLR) on the short-term (28 days) and long-term (365 da...
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy often diagnosed late due to the limited sensitivity and specificity of current m...
BACKGROUND: Circulating tumor DNA (ctDNA) is sometimes undetectable in liquid comprehensive genomic profiling (CGP) of advanced-stage pancreatic cance...
Clinical psychology is a discipline reliant on self-reports but uniquely susceptible to specific biases associated therewith. Here we provide a protot...
Bridging biological and artificial systems, intelligent interfaces drive the demand for flexible electronics that emulate the skin's multifunctionalit...
BACKGROUND: Patients increasingly use large language models (LLMs) for health information, yet the guideline concordance and safety of patient-facing ...
Hydrogel sensors have gained significant attention in recent years due to their ability to detect various stimuli. This work first employs a "one-pot ...
BACKGROUND: This study aims to investigate the association between leukocyte telomere length (LTL) and the risk of incident NDDs using a large-scale c...
PURPOSE: Predictive biomarkers to guide selection of first-line chemotherapy for advanced pancreatic ductal adenocarcinoma (PDAC) are an unmet clinica...
BACKGROUND: Postoperative pancreatic fistula (POPF) is the major driver of postoperative morbidity after pancreatoduodenectomy (PD) and a healthcare i...
BACKGROUND: Length of hospital admission after major oncologic surgery is often highly variable. Although in carefully selected patients, early discha...
Noise-induced hearing loss (NIHL) is a complex disorder arising from the interplay between noise, as well as contributions from other environmental an...
Spatial transcriptomics technologies profile gene expression across tissue sections while retaining spatial information, yet most platforms capture si...
STUDY OBJECTIVES: To evaluate the utility of the odds ratio product (ORP) in differentiating comorbid insomnia and sleep apnea (COMISA) from obstructi...
The retrosplenial cortex (RSC) is a structurally and functionally complex hub with broad connectivity, integrating sensory inputs, cognitive states, a...
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy, with accurate preoperative assessment of vascular involvement criti...
Conductive hydrogels are revolutionizing the fields of wearable sensors, implantable bioelectronics, and soft robotics. However, achieving both mechan...