Artificial Intelligence
In this two-part series, In Vivo examines who is building the autonomous lab, what architectural and business model choices they are making, and what the implications are for drug discovery organizations, external R&D partnerships and the workforce that will be asked to operate these systems.
Strengthening the European Medicines Agency’s capacity to analyze clinical and non‑clinical raw data, expanding real-world evidence infrastructure, and boosting AI literacy across the EU regulatory network all feature prominently in a new 2026–2028 workplan.
Seed investors are enthusiastic about AI in drug discovery but skeptical of the valuations it is used to justify. At a recent panel, they drew a sharp line between real capability and an “AI veneer.”
Merck's post-Keytruda oncology strategy rests on three pillars – immune deepening, tissue targeting and tumor-intrinsic mechanisms – anchored by patient selection, AI-accelerated discovery and a KRAS bet that could define its next era.
In this two-part series, In Vivo examines who is building the autonomous lab, what architectural and business model choices they are making, and what the implications are for drug discovery organizations, external R&D partnerships and the workforce that will be asked to operate these systems.
Aqemia uses proprietary physics-based solvers paired with generative AI to discover genuinely novel drug candidates, bypassing historical training data to crack targets others cannot.
Headlamp Health's Lumos AI uses a ‘neurosymbolic’ multi-agent framework to improve CNS trial patient selection, targeting the heterogeneity that drives neuroscience's high attrition rate.
CRDMOs must embrace AI to keep pace with big pharma partners - but what is expected of them, which data can they use, where are Indian firms on the adoption curve and does the ‘China Plus One’ business proposition still hold? Leaders discussed these topics at BioAsia.
As brain-computer interfaces near US approval, neuroethics and neural data privacy move center stage. Major medtech deals reshape the market, while new FDA digital health leadership and updated AI, wellness and CDS guidances signal a more flexible regulatory approach.
India pharma leaders emphasize the need for AI integration beyond pilots, calling for an enterprise mindset to drive AI adoption and a focus on re-skilling for ‘everyone’. Discussions touched on AI’s role in driving manufacturing efficiencies and also India’s innovation trajectory.
After nearly 30 years at NASA, Omar Hatamleh prepares for his next chapter and fourth book on AI. He told Medtech Insight AI will speed up medical breakthroughs, extend life spans and bring AGI sooner than expected but also drive job losses, erode privacy and force humans to rethink their purpose.
Sanofi’s EVP Madeleine Roach details ways in which snackable, generative and expert AI are transforming innovation, helping halve the time for a drug to move from discovery to market. AI has aided a cut in mRNA design time by 50% at the "first AI-powered biopharma at scale."