Pancreatic Diseases

Interpretable machine learning and molecular simulations identify natural pancreatic lipase inhibitors and hydrophobic hotspot residues.

Pancreatic lipase (PL) is a validated peripheral target for limiting dietary fat absorption, yet str...

Towards transparent and interpretable screening: multi-biofluid FTIR spectroscopy with LLM-Augmented explainability for pancreatic cancer detection.

Early detection of pancreatic cancer remains a critical challenge in oncology, with current diagnost...

Content analysis of output from generative artificial intelligence chatbots when prompted about breast cancer and alcohol consumption.

OBJECTIVES: Alcohol is a group one carcinogen and contributes to breast cancer risk for women. Aware...

Quantitative CT Perfusion as a prognostic biomarker for chemotherapy response in patients with pancreatic ductal adenocarcinoma.

BACKGROUND: Response evaluation of pancreatic ductal adenocarcinoma (PDAC) with routine contrast-enh...

Exposome-wide patterns predict brain health in aging.

Promoting brain health is vital for well-being and reducing healthcare burdens. Brain health as meas...

Artificial intelligence augmented imaging of pancreatic fluid collections in acute pancreatitis.

Acute pancreatitis (AP) is a significant global health burden, with pancreatic fluid collections (PF...

Regulatory risk loci link disrupted androgen response to the pathophysiology of polycystic ovary syndrome.

A major challenge in deciphering the complex genetic landscape of polycystic ovary syndrome (PCOS) l...

Efferocytosis-related biomarkers and immune infiltration in pancreatic ductal adenocarcinoma based on single-cell sequencing and machine learning: a comprehensive bioinformatics analysis and experimental validation.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly invasive and lethal malignancy, with...

Prognostic biomarker discovery in pancreatic cancer through hybrid ensemble feature selection and multi-omics data.

Federated CT foundation models for multi-center detection of lymph node metastasis in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with prognosis ...

High-Performance Transparent, Deformable, and Recoverable Biomimetic Stevia-PVA Hydrogel Triboelectric Nanogenerator with Machine Learning-Assisted Motion Recognition.

Rapid breakthroughs in IoT and AI have raised demand for portable, self-powered, flexible sensor dev...

Digital SERS Nanoprobe Immunoassay With Single-Particle Sensing Resolution for Detection of Pancreatic Cancer Biomarkers From Clinical Blood Samples.

Surface-enhanced Raman scattering (SERS) nanoprobe-based immunoassay is an emerging liquid biopsy mo...

Impact of multimodal information on the estimation of fetal growth indicators using machine learning regression models.

Accurate estimation of fetal growth indicators such as birth weight, birth length, and gestational a...

Endo-Hepatology and Artificial Intelligence: New Avenues for Diagnosis and Intervention.

Artificial intelligence (AI) is gaining momentum in the field of endo-hepatology, offering potential...

Development and external validation of a machine learning model for predicting chronic critical illness in ICU patients with acute pancreatitis.

BACKGROUND: To develop and validate a machine learning (ML) model to assess the risk of chronic crit...

Explainable machine learning with SHAP decodes the heterogeneous burden of nasopharyngeal carcinoma in high-risk aging Asia.

BACKGROUND: Nasopharyngeal carcinoma (NPC) is a global public health concern, with a particularly hi...

Dynamic EEG spectral changes during acute alcohol intoxication and propofol exposure: Implications for machine-learning-based alcoholism detection.

A deep learning approach to assess transendothelial cell trafficking performance.

Transendothelial migration (TEM), is a complex, multistep process impacted by diseases like autoimmu...

Transcriptomic Plasticity Is a Hallmark of Metastatic Pancreatic Cancer.

UNLABELLED: Metastasis is the leading cause of cancer deaths. To develop strategies for intercepting...

SELFormer-guided discovery of xanthohumol and cirsilineol as multi-target natural therapeutics for type 2 diabetes: computational prediction and experimental validation.

Type 2 diabetes mellitus (T2DM) requires multi-target therapeutic approaches addressing both insulin...

Bioinspired Leaky Integrate-and-Fire Neurons Enabled by Reconfigurable Hydrogel Memristors.

Biological leaky integrate-and-fire (LIF) neurons are dynamic, living computational systems that mod...