VENOUS THROMBOEMBOLISM (VTE)

This study tests an experimental drug called REGN7508 (cenvacibart) to prevent venous thromboembolism (blood clots) in adults after elective total knee replacement. About 2,000 participants will receive either REGN7508, apixaban, or enoxaparin to compare effectiveness and safety.…

This study tests an experimental drug, REGN7508, to see if it works better than the standard blood thinner apixaban for treating and preventing blood clots in people with cancer. The trial will include about 1,600 participants with or without cancer who have deep vein thrombosis …

This study looks at whether giving blood thinners (LMWH) for 6 weeks after childbirth can prevent dangerous blood clots in women who have a moderate risk. About 2,400 women will be randomly assigned to receive either the blood thinner or standard care without it. The goal is to s…

This study is testing whether giving new mothers a low-dose blood thinner for just 7-10 days after delivery can prevent blood clots in the legs or lungs. About 9,200 women with certain risk factors (like emergency C-section, obesity, or pre-eclampsia) will either receive the drug…

This study tests whether starting a structured exercise and education program within a month of a pulmonary embolism (a blood clot in the lungs) can prevent long-term problems like poor quality of life, shortness of breath, and reduced physical ability. About 160 hospitalized pat…

This study is testing a new radioactive tracer designed to attach to active blood clots and make them visible on a PET scan. Researchers will take blood samples from 10 healthy volunteers, create clots in the lab, and see how well the tracer binds to them. The goal is to develop …

This study follows 900 people having lung cancer surgery to learn why some develop blood clots in their legs (deep vein thrombosis) within 30 days after surgery. Researchers will collect medical data and use machine learning to build a tool that predicts each person's risk. The g…

This study is testing a computer model called the CLOVER score, which uses machine learning to predict whether a person with a blood clot might have an undiagnosed cancer. Researchers will check the model's accuracy in 500 patients over two years. If it works well, doctors could …

This study looks at 500 people with advanced lung cancer to see if certain genetic changes (mutations) increase the risk of blood clots. Researchers will measure blood markers and track participants for 6 months. The goal is to learn which patients are at higher risk so doctors c…