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  • MC1633 Phase II Trial to Evaluate the Efficacy of the FASN Inhibitor, TVB-2640, in Combination with Trastuzumab plus Paclitaxel or Endocrine Therapy in Patients with HER2+ Metastatic Breast Cancer Resistant to Trastuzumab-based Therapy Rochester, Minn., Scottsdale/Phoenix, Ariz.

    This phase II trial studies how well FASN inhibitor TVB-2640 and trastuzumab plus either paclitaxel or endocrine therapy with an aromatase inhibitor work in treating patients with HER2 positive breast cancer that has spread to other places in the body. FASN inhibitor TVB-2640 may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth. Drugs used in chemotherapy, such as paclitaxel and trastuzumab, work in different ways to stop the growth of tumor cells, either by killing the cells, by stopping them from dividing, or by stopping them from spreading. Endcocrine therapy helps reduce the hormones that feed tumor cells. Giving FASN inhibitor TVB-2640 and trastuzumab with either paclitaxel or endocrine therapy may work better in treating patients with HER2 positive breast cancer.

  • Pragmatic Analysis of the Impact and Utilization of Workflow-Integrated Artificial Intelligence for RPM Enrollment Rochester, Minn.

    The purpose of this study is to evaluate the effectiveness of the RPM AI-guided screening tool (an RPM (remote patient monitoring)  “fit” score as displayed in the Acute Multipatient Viewer (AMP) and underlying AI models in determining patients who may be best impacted by RPM as determined by their total healthcare utilization (total days alive at home, emergency department visits, and hospitalizations). Secondary objectives include assessing whether the algorithm improves the patient identification and enrollment into RPM within routine clinical practice. Additionally, this study will assess usability of this approach and its overall effect on nursing efficiency/workflow and clinician perspective on trust of AI tools to identify patients.

Closed for Enrollment

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