Webinar Series: Trial Optimization

Watch these 20-minute webinars to see specific use cases on how to take oncology trials digital. Choose from topics on solid tumors, hematological malignancies, reducing patient burden, optimizing inclusion/exclusion criteria, increasing patient diversity, and powering studies with real-world outcomes. Learn how advanced real-world data and AI technology solutions in oncology can support novel study designs and see demos of our recently launched Digital Trial Optimization SaaS solution.

Webinar 1: Oncology Clinical Study Optimization Solutions: Solid Tumor Example

Jan. 28, 2021, 10am ET – Now On Demand – 20 minute webinar

This mini-webinar provides an example of how advanced real-world data, sponsor data, and AI optimization and prediction can lead to more robust, efficient, and lower risk clinical studies. This presentation focuses on solid tumor trials.

Webinar 2: Oncology Clinical Study Optimization Solutions: Hematological Malignancies

Feb. 11, 2021, 11:30am ET – Now On Demand – 20 minute webinar

As hematological studies are restarted, modified, and redesigned, the need for innovative technologies and rapid study redesign has become critical. This mini-webinar provides an example of how advanced real-world data, sponsor data, and AI optimization and prediction can lead to more robust, efficient, and lower risk clinical studies.

Webinar 3: Oncology Clinical Study Optimization Solutions: Outcomes Analyses for Accurately Powering Trials

February 23, 2021, 10:00am ET – Now On Demand – 20 minute webinar

85% of trials do not meet study endpoints, often due to outcomes based on outdated literature with impacts to the power and sample size of studies. This  mini-webinar explores how innovative and advanced data and AI technologies can deliver rapid real-world insights unto treatments and outcomes to inform patient cohort sizes and statistical power considerations and positively affect potential recruitment. 

 

Webinar 4: Oncology Clinical Study Optimization Solutions: Optimize Study Design for Patient Enrollment

March 9, 2021, 10:00am ET – Now On Demand – 20 minute webinar

Lack of patient accrual into clinical trials remains a challenge and is often due to failures in study design. This mini webinar focuses on using real-world data and AI technologies drawn directly from clinical and site data to rapidly iterate during the study design process – for studies that result in more successful patient enrollment rates. We drill down into how clinical and site RWD combined with AI/ML are accelerating study designs that are aligned to standard of care and integrated with site-level patient volumes and research capabilities.

Webinar 5: Oncology Clinical Study Optimization Solutions: Burden Analysis to Reduce Complexity

March 23, 2021, 10:00am ET- Now On Demand – 20 minute webinar

Oncology clinical trial complexity remains higher than any other therapeutic area, with more endpoints and inclusion/exclusion criteria. This contributes to high site and patient burden and nearly 30% of patients dropping out before study completion. Clinical trials must become more patient-centric, and the COVID-19 pandemic has only further underscored the need to do so.  This webinar will feature our recently launched Digital Trial Optimization SaaS solution, which uses powerful oncology real-world data combined with AI-enabled technologies.

Webinar 6: Racial Equity in Study Design: Increasing Minority Participation in Trials

April 13, 2021, 10:00am ET – Now On Demand – 20 minute webinar

Please join Dr. Jeremy Miller, PhD, and senior director of technical solutions at ConcertAI, for a short webinar on how advanced RWD and AI technologies are helping find more patients from diverse racial backgrounds who are eligible to enroll in oncology trials.

Webinar 7: Addressing Health Disparities in Oncology Trial Design: An Epidemiological Perspective

April 20, 2021, 10:00am ET – Now On Demand – 20 minute webinar

Factoring race and ethnicity into clinical and HEOR studies to better understand disparities in cancer outcomes presents a variety of challenges to study design and conceptualization. In this short webinar, we discuss how on an epidemiological approach to using real-world data and AI technologies helps to rapidly analyze patient clinical and demographic characteristics, biomarkers, treatment and outcomes – to aid the further investigation of health disparities.