D David SC Hui, MD

Predicting Adverse Outcomes Using Machine Learning of COPD Patients in Hong Kong

This study aims to develop predictive models for patients with a diagnosis of COPD at discharge of an index admission on these outcomes using machine learning: Primary outcome: Early admission Secondary outcomes: Frequent readmission Composite outcome (Early + Frequent readmissions) Mortality Longstayers

A Antonella Poloni

Italian Network MDS Registry

Epidemiological data collection of adult patients affected by myelodysplastic syndrome (MDS) newly diagnosed.

D Dominique GENRE, MD

Institut Paoli Calmettes Breast Cancer Database

Database of Institut Paoli-Calmettes patients diagnosed with breast cancer

D David Greer, MD MA

Multimodal Outcome CHAracterization in Comatose Cardiac Arrest Patients Registry and Tissue Repository

Cardiovascular disease remains the leading cause of death in the United States. Mortality rates of cardiac arrest range from 60-85%, and approximately 80% of survivors are initially comatose. Of those who survive, 50% are left with a permanent neurological disability, and only 10% are able to resume their former lifestyle. …

AF Ablation With High Power Short Duration RF

This is a prospective, multi-center, research study designed to evaluate the safety and efficacy of pulmonary vein (PV) isolation with high power short duration radiofrequency energy in patients with paroxysmal/persistent atrial fibrillation (AF). Subjects with paroxysmal/persistent AF will undergo catheter ablation using commercially approved devices (mapping system and catheters). Patients …

X Xiaohong Pan

Clinical Study of Impact of Different Pacing Site in Patients

At present, cardiac pacing has been widely used in the treatment of bradyarrhythmias and heart failure, which can effectively improve the survival rate of patients. With the rapid development of technology, different sites can be chosen to pace, such as right atrial appendage, the atrial septum and the right atrial …

C Catherine Price, Ph.D.

PREsurgical Cognitive Evaluation Via Digital clockfacEdrawing

This study leverages a modernized digital version of a well-known cognitive screening tool to examine pre and post operative cognitive function after surgery in adults age 65 years or more. Machine learning algorithms will be applied to the hospital wide standard of care cognitive metric to identify risk for post-operative …

K Kensaku Nishihira, MD

REASSURE-NIRS Registry

RESSURE-NIRS registry is designed to investigate clinical and pathophysiological characteristics of NIRS-derived lipid-rich plaque in patients with coronary artery disease. This is an on-going multi-center prospective registry in Japan.

E Erik M Schlicht, B.A.,CCRP

Biobank for Cholestatic Liver Diseases.

This study is a biobank of specimens and clinical data for use in current and future research to better understand the cholestatic liver diseases primary biliary cirrhosis/cholangitis (PBC) and primary sclerosing cholangitis (PSC).

Data Collection for Patients With Low Grade Ovarian or Peritoneal Tumors

This study collects information to maintain a database on patients with low-grade ovarian or peritoneal tumors. Collecting information about the type of cancer and treatment, as well as details about follow-up care, may help researchers learn and better understand these tumor types and help develop better treatments for them.