DrugVLAB: Exploring Platform Technology Capabilities & Experimental Outputs to Discover Targets & Lead Candidates From Multi-Omics Data

• Laying out the model building and development journey of DrugVLAB platform, trained and validated with extensive research paper insights
• Applying AI platforms to decode multi-omics and compound data into target discovery, lead identification and optimization
• Spotlighting case studies to demonstrate experimental validation of DrugVLAB outputs to assess the quality and reliability of AI-driven multi-omics drug discovery

Speakers:

Sun Kim

Chief Executive Officer

AIGENDRUG