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Can AI Discover Cancer Treatments We're Missing? Industry Leaders Explore Drug Discovery and Clinical Trials

Executives from ConcertAI and Cartography Biosciences discuss AI's role in finding new drug targets, designing better trials, and overcoming data bottlenecks.

Summarized from Imagination in Action, . 30-second read.

This story is from October 6, 2026. For the latest, see today's news.

A panel discussion at the Imagination in Action Silicon Valley AI Summit examined how artificial intelligence can accelerate cancer drug discovery. Speakers Jeff Elton of ConcertAI and Kevin Parker, CEO of Cartography Biosciences, explored the potential for AI to identify new drug targets, design smarter clinical trials using digital twins, and improve treatment success rates.

The conversation also addressed practical challenges: biotech funding constraints, the scarcity of human tissue data for training AI systems, and the specialized expertise required to bridge AI and biological research. Participants discussed how these bottlenecks affect the speed and direction of drug development.

The session highlighted both the promise and the infrastructure gaps in AI-driven drug discovery, touching on talent shortages at the intersection of and biology.

Read the full story at Imagination in Action

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