GenScript Biotech Global Forum, "Scripting Possibilities", Convened AI and Biopharma Leaders in San Francisco
Panel discussions brought to life important insights into how AI could change the face of biopharma drug discovery in 2026 and beyond
"The conversations throughout the day reinforced that biotechnology is indeed at an inflection point, but they also sharpened what that means in practice," said
Fireside Chat: Scripting Possibilities for AI in Healthcare and Protein Engineering
Following
Key Insights Included:
- While AI is accelerating hypothesis generation and helping scientists focus more quickly on the most viable protein designs, durable impact will depend on rigorous experimental validation, access to high-quality data, and a deep understanding of biological complexity.
- How computational protein design is expanding what's possible beyond naturally occurring templates, enabling increasingly customized proteins with a growing range of potential applications.
- Progress depends on rapidly converting AI-designed concepts into DNA and proteins for experimental validation—powering the design-to-validation loop that sustains iterative discovery.
Scripting Possibilities on the Next Frontier:
The Forum's cell therapy panel explored how the field is advancing beyond early approvals, with increased focus on patient experience, durability, and real-world feasibility. Panelists from DeciBio, AstraZeneca,
Key Insights Included:
- A comparison of ex vivo therapies with the promise of in vivo engineering, including safety, delivery (viral and non-viral), and regulatory considerations that will shape adoption.
- Durability and payload needs vary by indication, and panelists discussed next-gen progress across biology, delivery, and access including advancing approaches for challenging settings like solid tumors.
- The continued shift of CAR-T into outpatient/community care, cost reduction through automation, and the importance of faster regulatory pathways.
- The discussion reinforced that the next phase of cell therapy will be defined not by novelty alone, but by the ability to deliver scalable, durable therapies that work in real-world care settings.
Scripting Possibilities to Enable AI in Drug Discovery
Leaders from NVIDIA, Absci, Jefferies, and Amazon discussed the shift from AI experimentation to enterprise-scale adoption, emphasizing that value will come from embedding AI into end-to-end discovery workflows rather than isolated pilots.
Key Insights Included:
- The importance of connecting computational insight directly to laboratory execution, where models inform experiments and results feed back into the system.
- How tighter integration between AI outputs and real-world lab workflows can help translate AI promise into repeatable, scalable discovery impact.
- Panelists agreed that AI will only scale when it becomes part of the discovery workflow itself, rather than an external or experimental layer.
Scripting Possibilities to Secure Biotech's Future: AI, Trust & the New Global Reality
The final panel, consisting of experts from
Key Insights Included:
- Governance and compliance should be viewed as enablers rather than constraints, particularly as regulatory scrutiny and cross-border considerations increasingly shape how organizations manage risk, protect intellectual property, and sustain innovation.
- AI will not scale without trust, and governance and global awareness must be designed in from the outset to enable responsible, durable adoption.
"This year's theme, Scripting Possibilities, reflected a shared recognition across the industry that AI's impact in biopharma will be defined not by ambition alone, but by how intentionally innovation is designed, tested, and scaled," said
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SOURCE GenScript Biotech Corp.