Date: Wednesday, January 28, 2026
Time: 11:00 AM EST
Speakers: Sergei Ananyan & Sam Montgomery
Register now!
AI is transforming early-stage drug discovery by accelerating key tasks such as target identification, molecular design, virtual screening, ADMET prediction, and drug repurposing. In this webinar, we’ll focus on one of the most critical steps: using AI agents to speed up target identification.
By combining scientific literature with experimental and omics data, AI can help prioritize disease-relevant genes, proteins, and pathways – enabling faster generation and evaluation of therapeutic hypotheses. This supports both target-based discovery and indication expansion for novel or existing molecules.
Building reliable, pathway-centric knowledge systems isn’t easy. Data volume, quality, bias, and integration remain major challenges.
Join us for a demo of the practical solution for accelerating early drug discovery.
Topics covered:
- Prioritizing disease-relevant genes, proteins, and pathways with AI
- Creating AI agents without coding
- Typical challenges and how to overcome them
- Live demo of a practical solution and results
Feel free to send us any preliminary questions now. We will be answering them at the webinar.