Advanced Filters
I am/have/had
added new label for I am/have/had
more
I am looking for
added new label for I am looking for
more
noise

Found 400 clinical trials

NYSCF Scientific Discovery Biobank

The New York Stem Cell Foundation (NYSCF) Research Institute is performing this research to accelerate diverse disease research using cells from the body (such as skin or blood cells) to make stem cells and other types of cells, conduct research on the samples, perform genetic testing, and store the samples …

30 years and older
All
Phase N/A

Developing Trustworthy Artificial Intelligence (AI)-Driven Tools to Predict Vascular Disease Risk and Progression

The VASCULAID-RETRO study, within the broader VASCULAID project, aims to create artificial intelligence (AI) algorithms that can predict cardiovascular events and the progression of abdominal aortic aneurysm (AAA) and peripheral arterial disease (PAD). The study plans to gather and analyze data from at least 5000 AAA and 6000 PAD patients, …

40-90 years
All
Phase N/A

Efficacy and Safety Prediction of Milrinone or Levosimendan as Initial Inotropic Drug Therapy in Patients With Acute and Advanced Heart Failure With Renal Insufficiency

To evaluate the efficacy and safety of levosimendan and milrinone in the treatment of with acute heart failure with or without renal dysfunction; Predictive modeling of the efficacy and safety of levosimendan and milrinone.

18-80 years
All
Phase N/A

Model Study on Cervical Cancer Screening Strategies and Risk Prediction

By collecting non-image medical data of women undergoing cervical screening in multiple centers in China, including age, HPV infection status, HPV infection type, TCT results, and colposcopy biopsy pathology results, a multi-source heterogeneous cervical lesion collaborative research big data platform was established. Based on artificial intelligence (AI) machine learning, cervical …

25-64 years
Female
Phase N/A

Empathy and Emotional Regulation: A Multi-National Cross-Sectional Study

Significant levels of psychological disorders and psychological distress among higher education students have been reported worldwide (Galdino et al., 2020), given that during these years there is a peak in prevalence of many mental disorders, particularly major depressive disorder (18.5% to 21.2%), generalized anxiety disorder (18.6% to 16.7%) and drug …

17-27 years
All
Phase N/A

Neurofilament Light Chain in Amyotrophic Lateral Sclerosis

This study assesses the performance of serum neurofilament light chain (sNfL) in amyotrophic lateral sclerosis (ALS) in a wide range of disease courses, in terms of ALS progression, disease duration, and tracheostomy invasive ventilation (TIV). The aim of the research project is to investigate the correlation between NfL serum concentration …

18 years and older
All
Phase N/A

The Pathogenesis and Prognostic Factors of Lymphoma

The aim of this study is to describe the clinical and genetic characteristics of Chinese lymphoma patients, and to explore the relationship between those characteristics and phatogenesis.

All
Phase N/A

A Computer-aided (CADx?System in Real-time Characterization of Colorectal Ulcerative Diseases

The goal of this observational study is to construct and validate a Computer-aided (CADx?System in Real-time Characterization of Colorectal Ulcrerative Diseases. The main question it aims to answer are to demonstrate whether the newly developed CADx system has a high-level diagnostic accuracy in predicting characterization of colorectal ulcerative diseases. It …

18 years and older
All
Phase N/A

Triage of Patients Presenting Beyond 24 Hours With Acute Ischemic Stroke Due to Large Vessel Occlusions (TRACK-LVO Late)

The objective of this study is to create a comprehensive, multi-center, TRACK-LVO registry-linked cohort of consecutive patients with acute ischemic stroke (AIS) caused by large vessel occlusions (LVO) and presenting to each participating center beyond 24 hours from last known well, who are treated with either endovascular therapy (EVT) or …

All
Phase N/A

Diagnostic Efficacy of CNN in Predicting Intraoperative Complications in SMILE

To evaluate the diagnostic efficiency of the neural network in predicting complications of Small Incision Lenticule Extraction in a multi-center cross-sectional study.

18-45 years
All
Phase N/A

Simplify language using AI