Clinical trials: Predictive Cancer Model, open to volunteers
Gastric (Stomach) Cancer
Development of a Predictive Model for Gastric Cancer Peritoneal Metastasis and Cachexia Using BUB1 and Radiopathomics Data With Deep Learning
This clinical trial aims to develop a predictive model for gastric cancer (GC) peritoneal metastasis and cachexia by integrating BUB1 gene data with radiological and pathological data using advanced deep learning techniques.
- Trial name
- BUDDLE (NCT06858644)
- Testing
- BUB1-Integrated Deep Learning Model for Gastric Cancer Metastasis and Cachexia Prediction
- Volunteers
- 500 people
- Sponsor
- Qun Zhao
Breast Cancer, Perimenopause
AMH Dynamic Changes to Predict Ovarian Reserve in Perimenopausal Breast Cancer
This study is a prospective observational cohort study aimed at developing a clinical model based on dynamic changes in anti-Müllerian hormone (AMH) to predict ovarian reserve in perimenopausal women with hormone…
- Conditions
- Breast Cancer, Perimenopause, Ovarian Reserve
- Trial name
- NCT07497191
- Volunteers
- 300 people
- Sponsor
- Shengjing 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