Clinical trials: Predictive Cancer Model, open to volunteers
Breast Cancer Female
Real Time Molecular Analysis of Breast Cancer Receiving Neo-adjuvant Chemotherapy
The present project aims at identifying robust candidates for drug resistance in BC patients eligible for NAC. Its originality lies upon the combination of three different and complementary prospective approaches: from the…
- Trial name
- NEO-R (NCT04504747)
- Testing
- molecular analysis of blood and tumor
- Where
- France
- Volunteers
- 150 people
- Sponsor
- Institut Paoli-Calmettes
Prostate Cancer
The Development and Validation of MRI-AI-based Predictive Models for csPCa
This study retrospectively included patients who underwent prostate magnetic resonance imaging (MRI) and subsequent ultrasound-guided prostate biopsy at Peking University First Hospital from January 2019 to December 2023, and…
- Trial name
- NCT06842264
- Where
- China
- Volunteers
- 3,000 people
- Sponsor
- Peking University First Hospital
Colorectal Cancer Liver Metastases (CRLM)
AI-Based Prediction of Liver Metastasis in Colorectal Cancer (A Retrospective Study)
This multicenter, retrospective study aims to develop and validate a multimodal deep learning model for predicting the risk of metachronous liver metastasis in patients with stage I-III colorectal cancer following curative…
- Trial name
- NCT07399236
- Testing
- Multimodal Deep Learning Model Analysis
- Where
- China
- Volunteers
- 1,500 people
- Sponsor
- Tongji Hospital
Melanoma, Cutaneous Squamous Cell Carcinoma
Personalised Immunotherapy Platform
This is a non-interventional study to prospectively test a suite of predictive biomarker models of immunotherapy resistance in patients with melanoma, non-melanoma skin cancers and other solid tumours.
- Conditions
- Melanoma, Cutaneous Squamous Cell Carcinoma, Basal Cell Carcinoma, Merkel Cell Carcinoma
- Trial name
- PIP-PREDICT (NCT06536257)
- Testing
- Predictive model
- Where
- 3 sites in Australia
- Volunteers
- 1,000 people
- Sponsor
- Melanoma Institute Australia
Uterine Neoplasms
Analysis and Optimization of Predictive and Therapeutic Models in Uterine Neoplasms
Evaluation of clinical, therapeutic and prognostic relevance of new experimental results as well as optimization of therapeutic models and development of a new algorithm for therapeutic plan and therapy in patients with uterine…
- Trial name
- NCT03624712
- Testing
- uterine neoplasms
- Where
- Germany
- Volunteers
- 580 people
- Sponsor
- University Hospital Tuebingen
Pancreatic Cancer, Circulating Tumor Cell
Liquid Biopsy (ctDNA) Guided Treatment in Localized Pancreatic Cancer: Neoadjuvant CTX vs. Upfront Surgery
This study evaluates the clinical prognostic impact (on DFS and OS) of liquid biopsy guided treatment vs. standard of care (physicians choice) in localized pancreatic cancer (despite because of CA 19-9 levels and computed…
- Conditions
- Pancreatic Cancer, Circulating Tumor Cell, Predictive Cancer Model
- Trial name
- LIQUIPANC (NCT06391892)
- Testing
- Neoadjuvant chemotherapy instead of upfront surgery, Upfront surgery
- Where
- Austria
- Volunteers
- 100 people
- Sponsor
- Elisabethinen Hospital
Paraganglioma, Pheochromocytoma
Development of a Predictive Model for the Risk of Metastatic Disease in PPGLs, a Retrospective Cohort Study
Phaeochromocytomas and paragangliomas (PPGLs) are tumours of the adrenal medulla and extra-adrenal sympathetic nervous system, some which can become metastatic. It is a very rare disease and the tumours are often detected late.
- Conditions
- Paraganglioma, Pheochromocytoma, Genetic Predisposition to Disease, Pathology
- Trial name
- PPGL-Pred (NCT04788927)
- Where
- 2 sites in Denmark
- Volunteers
- 400 people
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
Colorectal Cancer Liver Metastasis
Prospective Validation of an AI Model for Predicting Liver Metastasis in Colorectal Cancer
This is a prospective, multicenter, observational study designed to validate the predictive accuracy of a pre-developed multimodal deep learning model.
- Trial name
- NCT07392567
- Testing
- Multimodal Deep Learning Prediction Model
- Where
- China
- Volunteers
- 160 people
- Sponsor
- Tongji Hospital
Prognostic Cancer Model
Prognostic Significance of ctDNA in HL
Specific somatic mutations using ctDNA will be analyzed in predefined subgroups of cHL (e.g., age <60 and ≥ 60 years, EBV). These mutations will be correlated with response to the treatment in the first line, in the relapse…
- Trial name
- NCT06263530
- Where
- 5 sites in Czechia
- Volunteers
- 500 people
- Sponsor
- Interni hematologicka klinika FNKV
Venous Thromboembolism (VTE), Occult Cancer
External Validation of the CLOVER Score for Detecting Occult Cancer in Venous Thromboembolism Patients
This study aims to externally validate the CLOVER score, a machine learning-based predictive model designed to identify patients with venous thromboembolism (VTE) who are at increased risk of having an occult cancer.
- Trial name
- CLOVER (NCT07310693)
- Where
- 12 sites in Spain
- Volunteers
- 500 people
- Sponsor
- Infanta Leonor University Hospital
Breast Mass, Breast Cancer
Predicting Breast Cancer With the BRAVE System
Breast cancer predominates among cancer diagnoses in Canadian women. It accounts for around 25% of new cases and contributes to 13% of all cancer-related deaths.
- Trial name
- BRAVE (NCT06498388)
- Testing
- Stiffness measurement by visco-elastography
- Where
- Canada
- Volunteers
- 300 people
- Sponsor
- Université de Sherbrooke
Pancreatic Ductal Adenocarcinoma
Prediction of Neoadjuvant Chemotherapy Response in Pancreatic Cancer
This study aims to develop and validate a predictive microRNA (miRNA) panel to assess the response to neoadjuvant chemotherapy (NACT) in patients with resectable and borderline resectable pancreatic ductal adenocarcinoma (PDAC).
- Trial name
- PRECEPT (NCT07226154)
- Testing
- Small RNA sequencing, PRECEPT assay (qRT-PCR validation)
- Where
- United States
- Volunteers
- 200 people
- Sponsor
- City of Hope Medical Center
Prostate Cancer, Risk Assessment
PROstate Cancer Risk Calculator for ACTionable Clinical Decision-making in Nigeria
This study is a pilot trial that builds on findings from the validation of prostate cancer risk calculators in Nigerian men. The goal of the overall study is to improve the early detection of prostate cancer in a high-risk…
- Conditions
- Prostate Cancer, Risk Assessment, Clinical Decision Support Systems, Predictive Value of Tests
- Trial name
- PROACT (NCT07733440)
- Testing
- (a) Training and (b) Supported risk assessment
- Where
- Nigeria
- Volunteers
- 89 people, healthy volunteers welcome
- Sponsor
- Ahmadu Bello University
Pancreatic Cancer
A Study on a Predictive Model for Efficacy and Prognosis of Pancreatic Carcinoma Based on Multimodal Data
The goal of this observational study is to learn if combining information from CT scans, blood tests, and pathology reports can better predict how pancreatic cancer will progress.
- Trial name
- NCT07561814
- Where
- China
- Volunteers
- 1,030 people
- Sponsor
- Shanghai Zhongshan Hospital
Thyroid Papillary Carcinoma, Contrast Enhanced Ultrasound
Preoperative Prediction of Lymph Node Metastasis in T1N0M0 Papillary Thyroid Carcinoma by Using Contrast-enhanced Ultrasound
Similarly, the burden of central lymph node metastasis affects the individualized management of patients with T1N0M0 papillary thyroid carcinoma (PTC): lymph node metastasis is a contraindication to thermal ablation; low-burden…
- Trial name
- NCT07357571
- Where
- 2 sites in China
- Volunteers
- 600 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Cervical Cancer, Radiotherapy
A Predictive Model for Early Metastasis in Cervical Cancer Patients After Radiotherapy
This study aims to help to screen out appropriate cases for consolidation therapy and more intensive follow up.
- Conditions
- Cervical Cancer, Radiotherapy, Distant Metastasis, Prognostic Model
- Trial name
- NCT06101966
- Testing
- external pelvic beam radiotherapy (EBRT) followed by individualized high-dose-rate intracavitary brachytherapy (HDR-ICBT)
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Fujian Cancer Hospital
Uterine Cervical Neoplasms, Cervical Cancer by FIGO Stage 2018
A Radiomic MRI Predictive Model for Response to Concomitant Chemoradiotherapy in Locally Advanced Cervical Cancer
Cervical cancer is the fourth most common cancer in women worldwide, with approximately 604,000 new cases in 2020.Treatment for locally advanced cervical cancer is based on a combination of radiotherapy and chemotherapy.
- Trial name
- EPICOL-R (NCT07305727)
- Where
- France
- Volunteers
- 120 people
- Sponsor
- Centre Hospitalier Universitaire de Nīmes
Gastric Cancer, Immunotherapy
The Construction of a Predictive Model for Gastric Cancer Immunotherapy Response Based on Tumor-Infiltrating Lymphocytes (TILs) and Histone H3K4me3 in the Tumor Microenvironment
Gastric cancer is one of the cancers with a high mortality rate globally, and its treatment outcomes urgently need to be improved.
- Trial name
- NCT07069842
- Testing
- Multiplex Immunofluorescence Technology, Co-Immunoprecipitation (Co-IP) Technology, Immunohistochemistry
- Where
- China
- Volunteers
- 170 people
- Sponsor
- Changzhi People's Hospital Affiliated to Changzhi Medical College
Pseudomyxoma Peritonei, Colorectal Carcinoma
Peritoneal Surface Malignancies - Characterization, Models and Treatment Strategies
The aim of this study is to identify biomarkers of disease recurrence and prognosis to optimize patient selection for treatment with cytoreductive surgery (CRS) with hyperthermic intraperitoneal chemotherapy (HIPEC), and through…
- Conditions
- Pseudomyxoma Peritonei, Colorectal Carcinoma, Ovarian Carcinoma, Mesothelioma
- Trial name
- PSM (NCT02073500)
- Testing
- Observational study.
- Where
- Norway
- Volunteers
- 300 people
- Sponsor
- Oslo University Hospital
Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model
Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
This study aims to preoperatively predict DFS of patients with localised ccRCC using a deep learning prognostic model based on enhanced contrast CT images, validate it's predictive ability in multicentre data and compare it's…
- Conditions
- Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model, Recurrent Renal Cell Cancer
- Trial name
- NCT06088134
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Mingzhao Xiao