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Predicting Non-Adherence and Dropout Risks: Enhance Clinical Trial Efficiency and Support Patient Engagement, Upcoming Webinar Hosted by Xtalks

Toronto, ON (PRWEB) June 06, 2023 Poor patient adherence in clinical research and medical practice continues to be a widespread challenge that impacts drug

Vera kovacevicDominique demolleChantal gossuinHoneycomb worldwide incPredicting non adherenceDropout risksEnhance clinical trial efficiencySupport patientLife sciencePress release

Patient Adherence and Engagement: Predicting Non-Adherence and Dropout Risks, Upcoming Webinar Hosted by Xtalks

Toronto, ON (PRWEB) June 06, 2023 Poor patient adherence in clinical research and medical practice continues to be a widespread challenge that impacts drug

Dominique demolleVera kovacevicChantal gossuinHoneycomb worldwide incPatient adherencePredicting non adherenceLife sciencePress release

Xtalks Announces its Life Science Webinar Calendar for June 2023

Toronto, ON (PRWEB) June 02, 2023 Stay on top of current hot topics through free webinars presented by leading experts in the pharma, biotech, medical

Population healthPractices in clinical gene therapy method developmentPrecision research ecosystem for realHoneycomb worldwide incTb vaccine developmentOptimal cell line developmentCart development programsInnovative technologyBuilding in solutionsGlobal regulatory challenges in coPreclinical developmentDigital pathology in preclinical rd servicesManufacturers when selectinga lab testing partnerDrug developmentClinical trial assay development for precision medicineStage development

Cognivia expands its portfolio of predictive solutions introducing Compl-AI©, an innovative solution that predicts the risk of patient nonadherence & dropout

Compl-AI©is proven to predict treatment non-adherence and dropout risk. With the use of Compl-AI, patient recruitment and engagement strategy may be optimized to improve patient outcomes. Learn

United kingdomAlex hernandezGewinn nurPrnewswire cogniviaChantal gossuinDominique demollePredicting non adherence

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