Gastroenterology

Pancreatic Diseases

Latest AI and machine learning research in pancreatic diseases for healthcare professionals.

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A prospective non-randomised single-center study comparing laparoscopic and robotic distal pancreatectomy.

BACKGROUND: Laparoscopic distal pancreatectomy (LDP) is increasing in popularity thanks to the benef...

Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.

INTRODUCTION: As many as 3% of computed tomography (CT) scans detect pancreatic cysts. Because pancr...

Postoperative pancreatic fistula after robot distal gastrectomy.

BACKGROUND: To compare the incidences of postoperative pancreatic fistula (POPF) between robot-assis...

Distal pancreatectomy: a single institution's experience in open, laparoscopic, and robotic approaches.

BACKGROUND: The indications for minimally invasive (MIS) pancreatectomy have slowly increased as exp...

Procalcitonin Strip Test as an Independent Predictor in Acute Pancreatitis.

Plasma procalcitonin (PCT) is a highly specific marker for the diagnosis of bacterial infection and ...

Integration of multi-omics data and machine learning to identify antioxidant biomarkers in type 1 diabetes.

The identification of biomarkers for early diagnosis and monitoring the progression of Type 1 Diabet...

Comparing Deterministic and Stochastic Reinforcement Learning for Glucose Regulation in Type 1 Diabetes.

Type 1 Diabetes (T1D) is a chronic condition affecting millions worldwide, requiring external insuli...

Bioactive films with essential oils and machine learning for controlling Aspergillus niger growth and fumonisin B production in vitro.

Aspergillus niger is an important species in the fungal community of many foods and is one of the mo...

Developing risk stratification strategies and biomarkers for recurrent hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, with high rates ...

Novel Design of a Surgical Tool Insertion Robot Using a Chebyshev Lambda Mechanism.

BACKGROUND: Endoscopic Retrograde Cholangiopancreatography (ERCP) and Percutaneous Coronary Interven...

A multi-phase approach using supervised algorithms and clinical models to generate high-accuracy signatures for pancreatic cancer.

BACKGROUND: The in silico analyses provide evidence supporting the potential of methylation-driven d...

Robotic Central Pancreatectomy with Omental Pedicle Flap: Tactics and Tips.

BACKGROUND: Robotic central pancreatectomy is increasingly used for pre- or low-grade malignant tumo...

Deep-learning based automated pancreas segmentation on CT scans of chronic pancreatitis patients.

OBJECTIVES: This study aimed to develop an artificial intelligence (AI)-based segmentation model for...

Diagnostic Risk Prediction Models for Upper Gastrointestinal Cancers: A Systematic Review.

Upper gastrointestinal (UGI) cancers are often detected late. Risk prediction models could facilitat...

Fluorescent Microneedle Sensors Based on Tb@Hydrogen-Bonded Organic Frameworks for Real-Time Food Freshness Monitoring.

As crucial biomarkers of food spoilage, portable and real-time monitoring of the biogenic amines (BA...

Serum-Based Detection of Pancreatic and Ovarian Cancer via a Nanoparticle-Enhanced Fluorescence Array and Machine Learning.

: Early detection of oncological diseases such as pancreatic ductal adenocarcinoma (PDAC) and ovaria...

Label-free single-cell phenotyping to determine tumor cell heterogeneity in pancreatic cancer in real time.

Resistance to chemotherapy of pancreatic ductal adenocarcinoma (PDAC) is largely driven by intratumo...

Medical management of pancreatic cancer: from personalization to broadening treatment strategies.

Pancreatic ductal adenocarcinoma (PDAC) is one of the most heterogeneous and deadly cancers. This re...

Integrating AI/ML and multi-omics approaches to investigate the role of TNFRSF10A/TRAILR1 and its potential targets in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with a five-yea...

Augmenting Common Spatial Patterns to deep learning networks for improved alcoholism detection using EEG signals.

One of the main risk factors for numerous health problems is excessive drinking. Alcoholism is a sev...

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