Taizhou Hospital of Zhejiang Province

This study aims to create and assess a deep learning framework for extracting left atrial appendage features in atrial fibrillation patients and combining them with clinical data to predict ischemic stroke risk. Clinical data and chest CT images from patients diagnosed with non-valvular atrial fibrillation will be collected. Patients will be categorized into stroke and non-stroke groups to build a data repository. The dataset will be divided into training and validation sets, with missing data handled and pulmonary vein CTV and virtual non-contrast images annotated. A deep learning model will be used for image segmentation and feature extraction to develop a prediction system.

A randomized, double-blind, placebo parallel-controlled Phase II clinical trial to evaluate the efficacy and safety of TJ0113 capsule in patients with early-stage Parkinson's disease

The goal of this observational study is to learn about the effects of using ribociclib in combination with physician-selected endocrine therapy as adjuvant therapy for patients with early high-risk HR+HER2- breast cancer. The main question it aims to answer is:
Whether it is effective and safe to use ribociclib in combination with physician-selected endocrine therapy as adjuvant therapy for patients with early high-risk HR+HER2- breast cancer? Participants will receive ribociclib (at a dose of 400mg per day for 3 weeks, followed by 1 week off, 4 weeks for 1 cycle) plus physician-selected endocrine therapy for three years. During the follow-up, their relevant clinical data will be recorded.