Webinar Highlights
Artificial intelligence is revolutionizing drug discovery as we know it, effectively replacing many high throughput screening studies with computer-generated insights.  By integrating predictive AI and machine learning (ML) technologies with in vivo validation, researchers can gain swift and precise drug response insights. Whether you seek to understand a candidate drug molecule's mechanism of action or explore potential drug synergies, this approach can bring clear and compelling evidence of therapeutic efficacy to your oncology development program.In this webinar, learn how integrating predictive AI, ML, and advanced cancer models into your drug discovery workflow may give your most promising anti-cancer agents the best chance at translational success.
Key Learning Objectives
- Discover all the ways predictive AI can be applied to accelerate oncology drug discovery and beyond.
- Explore best practices for predictive AI platforms.
- Delve into new preclinical and clinical case studies that pair predictive AI with in vivo validation for more insightful drug response and synergy data.
- Experience our new virtual assistant tool in action — it uses natural language processing (NLP) to easily find tumor models with your desired genetic profiles.
Presenters
Michael Boice
Michael Boice, PhD, has over 20 years of experience in translational oncology drug development. Michael’s areas of scientific expertise include the development of novel oncology therapeutics, functional genomics and rare cancers. At Certis, he works directly with clients to enhance their discovery efforts through translational science discussions, optimizing the customer experience. He holds a PhD in Pharmacology from Weill Cornell Graduate School of Medical Sciences, Department of Pharmacology Memorial Sloan Kettering Cancer Center, Cancer Biology and Genetics.
Sponsor
Certis Oncology Solutions, Inc.
Content Partners
Scientist.com
Scientist.com is the world’s largest and first platform built for the intricacies of scientific outsourcing.
We help pharmaceutical and biotechnology organizations discover, engage, manage, and scale relationships with the providers that support every stage of the pipeline—from discovery and preclinical research to clinical development, manufacturing, medical affairs, and commercialization. Through a centralized platform, organizations can access a global network of 6,000+ providers, streamline sourcing and procurement workflows, maintain compliance, manage supplier relationships, and leverage data-driven insights to make faster, more informed decisions.
Today, Scientist.com supports more than 130 life science organizations, including 24 of the world's top 30 pharmaceutical companies, helping teams reduce operational complexity, accelerate timelines, and bring innovations to patients faster. Our mission is to make it possible to cure all human disease by 2050.
