Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
BackgroundPredicting whether a treatment will demonstrate meaningful clinical benefit before committ...
Pancreatic ductal adenocarcinoma (PDAC) segmentation on contrast-enhanced CT is inherently ambiguous...
Background: The Adolescent Brain Cognitive Development (ABCD) Study provides rich longitudinal data ...
Background: Current deep learning models in computational pathology, radiology, and digital patholog...
Deep learning models utilizing longitudinal healthcare data have significantly advanced epidemiologi...
Maladaptive reward learning and decision-making circuity are key factors in the onset and progressio...
Cancer data standardization requires converting unstructured pathology reports into structured regis...
Predicting genetic perturbation responses at a single-cell level is central to building models for c...
The medial prefrontal cortex integrates information about salience and valence of stimuli, including...
Accurate localization of tumor regions from hematoxylin and eosin-stained whole-slide images is fund...
Quantitative systems pharmacology (QSP) models require calibration data from published literature, y...
Resistance to systemic therapy is a major unmet challenge in pancreatic cancer. To identify potentia...
Alcohol Use Disorder (AUD) is a multifactorial condition with severe individual and societal impacts...
Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy characterized by profound molecu...
Lifestyle and environmental factors such as diet, physical activity, residential greenspace exposure...
Introduction: Recreational and medical cannabis use (CU) information is often available within the e...
In 2024, approximately 30% of U.S. adolescents reported having consumed alcohol at least once in the...
Introduction: Cardiovascular diseases (CVDs) are the leading cause of death globally, with rising bu...
Background: Objective Structured Clinical Examination (OSCE; Clinical Performance Examination [CPX] ...
Radiomics and deep learning both offer powerful tools for quantitative medical imaging, but most exi...
Single-cell RNA sequencing enables high-resolution characterization of cellular heterogeneity, yet i...