Medidata, a Dassault Systèmes company  

New York,  NY 
United States
https://www.medidata.com/en/events/asco-2023
  • Booth: 19145

Medidata, a Dassault Systèmes company, is leading the digital transformation of life sciences. The company’s focus on evidence generation, data management, and decentralized clinical trials is enhancing the clinical trial experience for patients; biopharmaceutical, device and diagnostics companies; academic researchers; contract research organizations, and research sites. www.medidata.com


 Products

  • Synthetic Control Arm® (SCA®)
    Medidata AI Synthetic Control Arm (SCA®) is created with cross-industry historical clinical trial data from 30,000+ clinical trials and 9 million patients....

  • Medidata AI Synthetic Control Arm (SCA®) is created with cross-industry historical clinical trial data from 30,000+ clinical trials and 9 million patients. SCA can enable scientific research, cut costs and accelerate time to market in scenarios where a control group is hard to recruit or retain, such as rare or imminently life-threatening diseases with inadequate standard of care treatments, like some cancers.
  • Trial Design Solutions
    Medidata AI Trial Design leverages historical data from over 30,000 trials and 9 million patients to generate powerful insights, make evidence-based decisions, and increase the probability of technical and regulatory success in clinical trials....

  • Medidata Ai Trial Design Solutions offers new ways of generating evidence by allowing clinical development teams to combine real world data and the most robust source of cross-industry, patient-level historical clinical trial data - including 30,000 trials and 9 million patients from over 150 countries and complete with the endpoints and covariates as they were validated as a part of the initial studies. Trial Design develops powerful insights and increases your trials probability of technical and regulatory success by helping to inform protocol design and predict trial obstacles, including:

    • Providing scenario-based modeling to define inclusion/exclusion criteria
    • Design adaptive trials and inform dosing strategies 
    • Understanding the likelihood of adverse events within patient sub-populations
    • Demonstrating unmet medical need under the current standard of care to show therapeutic efficacy or provide a case for label expansion

    Trial Design develops powerful insights, makes evidence-based decisions, and increases the probability of technical and regulatory success in clinical trials. Trial Design has the ability to create powerful modeling for your trial by connecting the data from 30,000 cross-sponsor historical trials with more than 9 million patients from over 150 countries.