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biotx BEYOND: Synthetic Clinical Trials
We're excited to host our 3rd biotx BEYOND webinar. This time it will be all about synthetic clinical trials and causal inference in clinical risk prediction models, and so bringing better treatments to patients faster.
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Speakers

Christian Hebenstreit
COO @biotx.ai
Our COO Christian Hebenstreit will share why proven machine learning approaches fail at deciphering the human genome how wide data and AI are changing data science in drug development.
Marco Schmidt
CSO @biotx.ai
Dr. Marco Schmidt, CSO at biotx.ai is revealing our concept of synthetic clinical trials, which have been developed to predict the efficacy of drug candidates. At biotx.ai we are using statistical methods for evaluating the comparative effects of an intervention defined by a genetic variant as a proxy for treatments in large biobank data.
Stefan Konogorski
Senior Researcher @Hasso Plattner Institute
Dr. Stefan Konigorski from HPI will talk about how clinical risk prediction models can be the foundation of screening programs, treatment guidelines, or also public health measures. Just recently, concepts from causal inference have been integrated with risk prediction modeling, which can allow to both place a larger focus on the interpretation of models and also give guidelines on how to identify better models.