Found 6,914 clinical trials
Improving Pancreatic Cancer Care by the Use of Computational Science and Technology
The goal of the IMPACT project is to set up a data sharing infrastructure between expert centers for pancreatic surgery that enables training, testing and validation of computer science tools to improve quality of care for patients with pancreatic cancer.
Integrated Cancer Repository for Cancer Research
The iCaRe2 is a multi-institutional resource created and maintained by the Fred & Pamela Buffett Cancer Center to collect and manage standardized, multi-dimensional, longitudinal data and biospecimens on consented adult cancer patients, high-risk individuals, and normal controls. The distinct characteristic of the iCaRe2 is its geographical coverage, with a significant …
Prognostic and Predictive Markers of Treatment Response in Patients With PAC.
The objective of this study is to identify prognosis and predictive markers of response to treatments (surgery, chemotherapy,...) in patients with pancreatic adenocarcinoma. The effectiveness and tolerance of these treatments in current practice is also evaluated.
Determining Individualized Cancer Therapy in Pancreatic Cancer
This is a non-therapeutic exploratory observational precision oncology study designed to collect and analyze data that demonstrate the clinical efficacy and tolerability of personalized treatments based on molecular tumor profiling assessments (i.e., matched therapy) in adult pancreatic cancer patients. Patient medical records, obtained both retrospectively and prospectively, will be examined …
AI-powered Early Detection for Pancreatic Cancer Via Non-contrast CT in Opportunistic Screening Cohort
Pancreatic ductal adenocarcinoma (PDAC) remains a therapeutic challenge with 5-year survival rates of 13%, primarily attributable to advanced-stage diagnosis (AJCC Stage III/IV in >80% of cases). This prospective, observational, multi-center study will evaluate the performance of an AI-powered opportunistic screening system utilizing non-contrast computed tomography (NCCT) acquired during routine clinical …
ARGONAUT: Stool and Blood Sample Bank for Cancer Patients
ARGONAUT is a longitudinal, prospective, observational study that will enroll up to 5,000 advanced-stage cancer patients of diverse racial backgrounds to collect data used to develop precision microbiome medicines and for the identification of clinically actionable cancer-specific biomarkers to guide therapeutic decisions. Four types of solid tumor cancers will be …
PACAREG: a Multicenter Registry Trial in Pancreatic Ductal Adencarcinoma
PaCaReg is a multicenter registry trial aiming in the assessement of clinical, epidemiological and biological profiles in patients with pancreatic ductal adenocarcinoma
Raman Spectroscopy-Based Deep Learning Model for Early Pan-Cancer Early Diagnosis
The goal of this observational study is to explore whether a Raman-based, deep learning-assisted approach can be used to develop an effective method for early pan-cancer screening. The study includes healthy individuals, patients at risk of cancer, and patients with diagnosed cancers. The main questions it aims to answer are:Evaluating …
A Noninvasive and Screening miRNA Signature for Gastrointestinal Cancer
Gastrointestinal (GI) cancers remain a major global health burden, largely due to the lack of effective and accessible early screening strategies. Current diagnostic approaches-including endoscopy, computed tomography (CT), and magnetic resonance imaging (MRI)-are either invasive, resource-intensive, or insufficiently sensitive for detecting early-stage disease, and are therefore not suitable for population-wide …
Artificial Intelligence-based Early Screening of Pancreatic Cancer and High Risk Tracing (ESPRIT-AI)
Pancreatic cancer is one of the most fatal malignancies with a 5-year survival rate of only ~6%[1]. The reasons for this high mortality rate can be attributed to several factors, of which perhaps the most important is delayed diagnosis due to vague symptoms and consequently missed opportunities for surgical resection. …
