In this live webinar, learn how an AI-enabled preclinical oncology strategy can identify biomarkers that are predictive of therapeutic response, elucidate the synergistic potential of combinatory therapies and optimize preclinical development using in vitro and in vivo models developed from the same tumor tissue. Hear from experts at Certis Oncology Solutions ("Certis"), a precision oncology and translational science company focused on combining functional assays and artificial intelligence to advance personalized medicine, about how AI platforms can be used for streamlining R&D efforts, reducing discovery timelines and costs and improving efficiency.
TORONTO, Sept. 28, 2023 /PRNewswire-PRWeb/ -- In recent years, the biopharmaceutical industry has become keenly interested in adopting artificial intelligence (AI)-driven platforms. These AI and machine learning platforms can be used for streamlining R&D efforts, reducing discovery timelines and costs, and improving efficiency. At the same time, the demand for predictive and robust preclinical cancer models to minimize translational failures in oncology is at an all-time high.
As researchers look to leverage genotypic features of models for early identification of predictive biomarkers, understand complex immune interactions and elucidate combination therapies' mechanisms of action (MOA), it's becoming apparent that the fight against cancer will be won at the intersection of biology, biochemistry and computer science.
During this webinar, Certis Senior Director of Scientific Engagement and Key Accounts Michael Boice, PhD, will look at how in silico predictions of efficacy, when validated in more clinically relevant preclinical cancer models, can bring greater certainty to early decision-making, and improve translation to the clinic. He also will demonstrate how in vivo validation studies can accelerate AI and machine learning and rapidly improve the accuracy of compound-specific in silico models for biomarker optimization. The webinar will also feature CertisAI™ Expert Q&A Panelist and Director of Bioinformatics Long H. Do, PhD.
Register for the live webinar taking place on Wednesday, October 4, 2023, at 1pm EDT (12pm CDT / 10am PDT).
For more information, or to register for this event, visit: AI and Machine Learning With Advanced Preclinical Cancer Models for Improved Clinical Translation.
ABOUT CERTIS ONCOLOGY SOLUTIONS
Certis Oncology Solutions is a life science technology company committed to accelerating the development of new cancer therapies and realizing the promise of precision oncology. Our product is Oncology Intelligence™ — highly predictive therapeutic response data derived from advanced biological models of cancer and enhanced with CertisAI™ Predictive Oncology Intelligence. Certis partners with therapeutics developers to help close the problematic translation gap between preclinical studies and clinical trials. Through more clinically relevant, well-characterized and annotated cancer models, advanced imaging technology, including x-ray irradiation with image-guided radiation therapy, and thoughtfully designed custom studies, our proprietary platform brings greater certainty to go/no-go drug development decisions.
For more information, visit http://www.certisoncology.com. You can also follow us on LinkedIn at: https://www.linkedin.com/company/certis-oncology and Twitter at https://twitter.com/CertisOncology.
Certis Oncology Solutions Contact:
Kristein King
Tel: +1 (858) 952-1820
Email: [email protected]
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