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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 Kovacevic , Dominique Demolle , Chantal Gossuin , Honeycomb Worldwide Inc , Predicting Non Adherence , Dropout Risks , Enhance Clinical Trial Efficiency , Support Patient , Life Science , Press 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 Demolle , Vera Kovacevic , Chantal Gossuin , Honeycomb Worldwide Inc , Patient Adherence , Predicting Non Adherence , Life Science , Press 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 Health , Practices In Clinical Gene Therapy Method Development , Precision Research Ecosystem For Real , Honeycomb Worldwide Inc , Tb Vaccine Development , Optimal Cell Line Development , Cart Development Programs , Innovative Technology , Building In Solutions , Global Regulatory Challenges In Co , Preclinical Development , Digital Pathology In Preclinical Rd Services , Manufacturers When Selectinga Lab Testing Partner , Drug Development , Clinical Trial Assay Development For Precision Medicine , Stage Development , Statistical Computing Solutions , Trial Assay Development , Precision Medicine , Diagnostics Experts , Invasive Approaches , Gene Therapy Trials , Clinical Trials , Effective Strategies , Best Practices , Patient Recruitment ,

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 Kingdom , Alex Hernandez , Gewinn Nur , Prnewswire Cognivia , Chantal Gossuin , Dominique Demolle , Predicting Non Adherence ,