The AI Era

Graph Intelligence In Clinical Trials: Explainability Will Make Or Break It

 
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In the first of an ongoing series of deep dives into biopharma-relevant AI topics, Norstella experts argue graph intelligence can untangle clinical trial fragmentation, if the results are explainable and GxP-compliant implementation discipline follows.

Data Governance: Do You Have What It Takes to Realize the Promise of AI?

 
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Genedata experts argue AI's promise in drug discovery depends less on algorithms than on data quality, and most organizations' data governance is not yet fit for purpose.

The Chemist Who Wants To Reprogram Drug Discovery

 
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Lee Cronin wants to build the AWS of molecular discovery. His Glasgow-based startup Chemify is making the molecules to prove it.

BioBytes: Evogene Bets On Autonomous Small-Molecule Discovery

 
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Evogene expands its Google Cloud collaboration to layer AI agents onto ChemPass AI, shifting from molecular design toward autonomous, scalable small-molecule drug discovery.


The Autonomous Lab: Part 2

 
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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.

Excited About AI, Skeptical Of The Price Tag: Seed Investors Sound Off

 
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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 Oncology Portfolio Strategy Beyond Keytruda

 
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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.

The Autonomous Lab: Part 1

 
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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 Bets Physics, Not Data, Is The Key To Novel Drug Discovery

 
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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 Targets Cause Of CNS Trial Failure

 
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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.

NASA’s Former AI Chief: AGI Is Closer Than We Think, Then Everything Will Change

 
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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.

Pressure, Pivot And The Promise Of AI: BCG Maps Biopharma’s Defining Challenges For 2026

 
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Recent BCG reports and interviews reveal an industry under pressure and racing to adapt through AI, new deal structures and direct-to-patient models.


20 Voices: What Does 2026 Hold For Biopharma?

 

Twenty biopharma leaders share predictions for 2026 – from shifting dealmaking dynamics and Asia's rise as an innovation epicenter to new frontiers in oncology, obesity and cell therapy, and AI's operational reckoning.

How Boehringer Is Breaking Big Pharma Into Biotech-Sized Pieces

 
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Boehringer Ingelheim is restructuring its therapeutic operations to push decision-making closer to brand teams while keeping R&D spending around 25% of revenues.

BioBytes: BMS Taps Evinova’s AI Platform To Optimize Global Portfolio

 
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Bristol Myers Squibb will deploy Evinova's AI-native platform across its global clinical portfolio to optimize trial design, reduce costs, and accelerate development timelines.

Deal-Making Quarterly Statistics, Q4 2025

 
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During Q4, biopharma merger and acquisition deal value reached $94.8bn and drew in $74.7bn in potential deal value from alliances. Device company M&A values reached $3.5bn, while in vitro diagnostics and research tools players’ M&A activity totaled $39.8m.


Medtech Companies Seek More Device Input Into EU’s Cardiovascular Disease Plan

 
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Cardiovascular disease is moving to the top of the EU’s health agenda with the release of the Safe Hearts Plan, European Parliament scrutiny of which is expected at the end of Q1. Medical device companies applaud the initiative but will seek more input as the plan evolves.

Medable Bets Agentic AI Can Crack Clinical Development’s Manual Labor Problem

 
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Medable pivots to agentic AI targeting clinical development's 80% manual labor bottleneck, aiming to double CRA efficiency and unlock capacity for 9,000 waiting drug candidates.

Can An AI Drug Discovery Company Sustain Itself Without A Pipeline?

 
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Execs at Biotech Showcase debated business models and platform monetization strategies for AI drug discovery companies, with some arguing they should develop internal pipelines and others advocating for partnership models.

In Vivo’s Deals Of The Year: Cast Your Vote!

 

It’s time for In Vivo's 18th annual Deals of the Year contest. We've chosen 15 nominees across three categories – Top M&A, Top Alliance, and Top Financing – and now it’s your turn to pick the winners.