Integrating Functionalized Multi-omics in Oncology Drug Discovery

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Sponsored by:

Champions Oncology
Date:
May 14, 2025
Time (PT):
11:00 AM
Duration (min):
60

Discover how cutting-edge multi-omics approaches and Generative AI are reshaping oncology drug discovery.

This webinar, led by Michael Ritchie, PhD, MBA, explores how to decode complex tumor cell biology using multi-dimensional deep datasets for biomarker and target discoveries. It is designed for drug discovery scientists, omics researchers, and pharmaceutical professionals eager to stay at the forefront of innovation and accelerate their research.

Presenters

Michael Ritchie

Champions Oncology
Chief Commercial Officer

Michael Ritchie, PhD, MBA joined Champions Oncology in July of 2014 and currently serves as Chief Commercial Officer, overseeing all aspects of commercial development, sales and marketing.

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Sponsor

Champions Oncology

Champions Oncology is a global preclinical and clinical research services provider that offers end-to-end oncology R&D solutions to biopharma organizations.

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.

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