On May 27, 2020 Medidata, the global leader in creating end-to-end solutions to support the entire clinical trial process, and a Dassault Systèmes company, reported the online publication of four abstracts at the ASCO (Free ASCO Whitepaper) 2020 Annual Meeting, being held virtually May 29 – 31 (Press release, Medidata, MAY 27, 2020, View Source [SID1234558592]).
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Acorn AI, by Medidata, and its partners – Friends of Cancer Research, Guardian Research Network, Donald and Barbara Zucker School of Medicine of Hofstra/Northwell, Memorial Sloan Kettering Cancer Center, New York-Presbyterian/Weill Cornell Medical Center and Weill Cornell Medicine, and New York Medical College – collaborated on research studies that highlight the importance of integrating multiple sources of data to provide insights into clinical oncology.
"Our research findings demonstrate the value of generating new clinical insights by collecting, combining, and analyzing data in innovative ways," said Glen de Vries, co-founder and co-CEO, Medidata. "We are proud to be working with outstanding research partners, who help bring meaningful contributions to the field and hope to millions of patients."
The published abstracts include use cases that combine omic and clinical data, use real-world data and pooled clinical trial data, and that expand on Medidata’s pioneering work in synthetic control arms. The following are a summary of these abstracts:
Exploring the validity of a synthetic control arm (SCA) for augmentation or replacement of a randomized control in difficult-to-study indications – a case study in relapsed or refractory multiple myeloma (R/R MM) (Abstract e20521)
The study demonstrated that the treatment effect based on a synthetic control arm can mimic the treatment effect from a randomized clinical trial in a study involving patients with relapsed or refractory multiple myeloma; this may have significant implications in speeding drug development and reducing patient burden
Evaluating progression free survival in black and white women with triple negative breast cancer in pooled clinical trials from a Synthetic Control Database (SCD) and real-world electronic medical records (EMR) (Abstract e13102)
A representative pool of cross trial triple negative breast cancer patients demonstrated lower progression free survival in Black patients compared to their non-Black counterparts by using a Synthetic Control Database and real-world EMR data, underscoring the necessity of diversity in clinical trials
Assessing the relationship in relapsed-refractory multiple myeloma between response, progression, and survival between pooled clinical trial subjects and a real-world electronic medical record data source (Abstract e20525)
The study revealed that using pooled clinical trial analyses, together with real-world data, can overcome individual trial sample size limitations and biases; this can expand the range of populations and allow a more comprehensive understanding of the complex oncology treatment landscape
Error-free, automated data integration of exosome cargo protein data with extensive clinical data in an ongoing, multi-omic translational research study (Abstract e16743)
The automatic, efficient, and reliable integration of clinical and omic data was demonstrated in a clinical trial for pancreatic ductal adenocarcinoma (PDAC), an aggressive, difficult to treat malignancy; much-needed diagnostic biomarkers for early detection may now be found in a more expedited, less-resource intensive manner
The Acorn AI/Medidata team invites the oncology community to learn more about these studies at the ASCO (Free ASCO Whitepaper) Industry Expert Theater, which are available starting May 29. This is an opportunity to dive deeper into how the company is bringing data, expertise and technology to the frontlines of decision-making in clinical oncology:
Making Precision Medicine a Reality in Clinical Development, Discovery and Beyond with Bryant Fields, Senior Director, Integrated Evidence Commercial Lead, Acorn AI
Clinical Trial Data meets the Real World: Bridging the Experimental and Post-Launch Worlds with Aaron Galaznik, Head, Acorn AI Labs Boston, Real-World Evidence (RWE)
Medidata is a wholly-owned subsidiary of Dassault Systèmes, which with its 3DEXPERIENCE platform is positioned to lead the digital transformation of life sciences in the age of personalized medicine with the first end-to-end scientific and business platform, from research to commercialization.