Pancreatic Diseases

Online adaptive radiotherapy: Clinical utility, challenges and perspectives.

Online adaptive radiotherapy (oART) represents a major evolution in radiation oncology, enabling daily plan adaptation to account for anatomical variations during treatment. This review synthesizes current evidence on its clinical utility, implementation challenges, and future directions. A comprehensive PubMed search (2014-June 2025) identified studies reporting dosimetric and clinical outcomes f...

Advancing precision medicine in pancreatic cancer using novel biomarkers and clinical targets.

Precision-guided therapy is imperative in the battle against pancreatic ductal adenocarcinoma (PDAC), one of the most lethal solid malignancies with limited improvements in survival despite advances in molecular profiling and systemic therapy. While oncogenic drivers such as KRAS, TP53, CDKN2A, and SMAD4 are nearly ubiquitous, their translation into effective targeted therapies has been constraine...

[Research progress in clinical pathology and molecular mechanisms of pancreatic adenosquamous carcinoma].

Pancreatic adenosquamous carcinoma (PASC) is a rare exocrine malignancy of the pancreas with an increasing incidence, histologically defined by the co...

Development and validation of a fully automated transformer-based 3D framework for pancreatic fat quantification in pancreatic steatosis.

PURPOSE: To develop and validate a fully automated TransUNet-based framework for 3D pancreatic segmentation and volumetric fat quantification on PDFF ...

Personalizing treatment of pancreatitis-associated chronic pain: the need for an integrated omics approach.

BACKGROUND: Chronic pancreatitis (CP) is a progressive inflammatory disorder characterized by debilitating chronic pain and substantial healthcare bur...

A pyroptosis-related gene signature for the diagnosis of acute pancreatitis.

Acute pancreatitis (AP) is a severe inflammatory disorder in which pyroptosis-a pro-inflammatory form of programmed cell death-may contribute to patho...

Diagnostic performance of artificial intelligence versus conventional imaging for differentiating G2/G3 from G1 pancreatic neuroendocrine tumors: a systematic review and meta-analysis.

Circulating extracellular vesicle long RNA profiling combined with machine learning unveils novel diagnostic signature and molecular features in chronic pancreatitis.

BACKGROUND: No clinically useful non-invasive biomarkers have been developed for diagnosis of chronic pancreatitis (CP), and molecular features of CP ...

Convergence of multiplexed immunosensors, nanotechnology, and AI for early pancreatic cancer diagnosis.

Pancreatic cancer (PC) remains one of the deadliest malignancies, largely because of its asymptomatic onset, rapid progression, and absence of sensiti...

The promise of injectable hydrogels in dental bone regeneration.

Injectable hydrogels are considered to be a minimally invasive approach for the regeneration of the dental bone, providing a number of benefits over t...

Prediction of Relapse Using Digital Technology in People in Recovery From Substance Use Disorders: Early Economic Evaluation With a Case Study of the Subreal App.

BACKGROUND: Many people relapse after achieving abstinence in substance use disorders. Health care providers may scan the horizon for new technologies...

Unlocking clinical narratives: how natural language processing and artificial intelligence can address data deficits and mitigate health inequities in urgent and emergency care.

The Urgent and Emergency Care system generates a wealth of clinical information, but our ability to harness this for public health planning and to add...

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment.

BACKGROUND: Accurate prediction of early recurrence (ER) after radical resection remains a critical challenge in pancreatic ductal adenocarcinoma (PDA...

Interpretable prediction of occult lymph node metastasis in pancreatic ductal adenocarcinoma using a model fusing habitat radiomics and deep learning.

PURPOSE: To evaluate the value of integrating habitat radiomics features and deep learning features for predicting occult lymph node metastasis (OLNM)...

Robotic Pancreaticoduodenectomy with Right Lateral Approach to the Superior Mesenteric Artery: Surgical Artificial Intelligence-Based Visualization for Standardized Dissection.

BACKGROUND: Robotic pancreaticoduodenectomy enables precise vascular dissection, but dissection of the superior mesenteric artery (SMA) remains techni...

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 structurally diverse natural inhibitors remain scarce...

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 diagnostic methods often failing to identify the disease u...

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. Awareness of this relationship remains low. Generative ...

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-enhanced CT (CECT) using RECIST is currently inadequa...

Exposome-wide patterns predict brain health in aging.

Promoting brain health is vital for well-being and reducing healthcare burdens. Brain health as measured with the Brain Age Gap (BAG) - the difference...