Preclinical Cancer Research in the FDA Modernization & Artificial Intelligence

• Selecting human-relevant models based on genomic, phenotypic, and clinical alignment to enhance translational accuracy
• Aligning model selection and study endpoints with evolving regulatory guidelines
• Leveraging AI to guide model selection, predict drug response, and inform combination and biomarker strategies for regulatory-ready studies

Speakers:

Long Do

Chief Technology Officer AI/Bioinformatics

Certis Oncology