View clinical trials related to Cancer.
Filter by:The purpose of this study is to enable patients, who are currently receiving rogaratinib in a Bayer-sponsored clinical trial (incl. NCT01976741), to continue treatment after their respective study has been closed. Another aim is to learn if rogaratinib is safe and how it affects the body. Rogaratinib is an investigational drug that may treat different types of cancer, incl. non-small-cell lung cancer, small-cell lung cancer, urothelial carcinoma, head, neck and breast cancer. The drug may stop the growth of cancer cells by targeting different cell proteins called fibroblast growth factor receptors (FGFR) that are needed for the survival of the cancer cells.
The investigators want to obtain a fundamental understanding if and which chemotherapeutic agents used for treating cancer during pregnancy are associated with placental and/or offspring (epi)genetic changes, potentially causing FGR and childhood/adult diseases later in life.
This research study aims to explore the feasibility and acceptability of a smartphone application intervention, called iaya, among young adults with cancer.
The purpose of this study is to better understand how the treatment of cancer with immune checkpoint inhibitors (ICI) leads to the development of autoimmunity. Specifically, we wish to understand the genetics and immune system features that cause a subset of cancer patients treated with checkpoint inhibitor therapy to develop an immune-related adverse event (irAE).
Using a robust research method following the MRC Framework, the proposed study will develop and test an evidence-based complementary health intervention to help breast cancer patients manage the fatigue-sleep disturbance-depression symptom cluster.
Every year, new molecular agents enter the market with more and more patients receiving these treatments, especially in the metastatic setting. These molecular agents could correspond to immunotherapy and modulators of signaling pathways. More than 50% of cancer patients will receive radiation therapy during the course of their illness, including radiotherapy aimed a palliating symptoms secondary to metastatic diseases. Therefore, there will be an increasing number of patients who will be receiving radiotherapy while they are still receiving molecular agents. A better understanding of the interaction of these two treatment modalities is needed.
This study adds to the understanding of the contributing factors leading to LARS, the long term effects of this syndrome post-operatively and its impact on quality of life.
This study will characterize the movement of drugs within the body, evaluate safety and determine to which extent the body can process relatlimab in combination with nivolumab in subjects with certain advanced tumors
As most adolescents visit a healthcare provider once a year, health behavior change interventions linked to clinic-based health information technologies hold significant promise for improving healthcare quality and subsequent behavioral health outcomes for adolescents (Baird, 2014, Harris, 2017). Recognizing the potential to leverage recent advances in machine learning and interactive narrative environments, the investigators are now well positioned to design health behavior change systems that extend the reach of clinicians to realize significant impacts on behavior change for adolescent preventive health. The proposed project centers on the design, development, and evaluation of a clinically-integrated health behavior change system for adolescents. CHANGEGRADIENTS will introduce an innovative reinforcement learning-based feedback loop in which adolescent patients interact with personalized behavior change interactive narratives that are dynamically personalized and realized in a rich narrative-centered virtual environment. CHANGEGRADIENTS will iteratively improve its behavior change models using policy gradient methods for Reinforcement Learning (RL) designed to optimize adolescents' achieved behavior change outcomes. This in turn will enable CHANGEGRADIENTS to generate more effective behavior change narratives, which will then lead to further improved behavior change outcomes. With a focus on risky behaviors and an emphasis on alcohol use, adolescents will interact with CHANGEGRADIENTS to develop an experiential understanding of the dynamics and consequences of their alcohol use decisions. The proposed project holds significant transformative potential for (1) producing theoretical and practical advances in how to realize significant impacts on adolescent health behavior change through novel interactive narrative technologies integrated with policy-based reinforcement learning, (2) devising sample-efficient policy gradient methods for RL that produce personalized behavior change experiences by integrating theoretically based models of health behavior change with data-driven models of interactive narrative generation, and (3) promoting new models for integrating personalized health behavior change technologies into clinical care that extend the effective reach of clinicians.
Undertreated patient symptoms and resulting acute care use require approaches that improve symptom-burden. Previously a a lay health worker (LHW)-led symptom screening intervention was developed for patients with advanced cancer. This intervention will be expanded to all patients with cancer and the LHW will be trained to refer patients to palliative care and behavioral health. This intervention will evaluate the effect on symptom-burden, survival, healthcare use, and total costs.