2026: the year AI stops being optional in drug discovery
AI is moving from a supporting role into the core of drug discovery. By 2026, it is expected to shape how targets are chosen, how biology is analysed and how development decisions are made.
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AI is moving from a supporting role into the core of drug discovery. By 2026, it is expected to shape how targets are chosen, how biology is analysed and how development decisions are made.
Schrödinger has announced a collaboration with Eli Lilly’s TuneLab platform, integrating advanced AI-driven drug discovery workflows into its LiveDesign enterprise informatics system.
Automation in 2026 is no longer judged by the volume of experiments, but by the reliability of the evidence they produce. As complex biology and tighter budgets collide, industry leaders are pivoting toward automated workflows to secure the data integrity required for confident, early-stage decision-making.
Headlamp Health has launched Lumos AI®, a new decision-support platform designed to bring greater precision to neuroscience drug development.
The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of Product at Certara, explains how better infrastructure and AI can help teams work faster and make decisions with more confidence.
16 December 2025 | By Drug Target Review
AI in drug discovery is evolving fast. Join the experts behind today’s real progress as they share what works, what doesn’t and what you need to know next.
UK life science software company Lab Thread has launched the beta of its unified lab platform, designed to streamline research workflows.
A new survey by the Pistoia Alliance reveals a growing ‘scientific content crisis’ in life sciences, showing that incomplete data and weak governance are limiting the accuracy and adoption of AI in research and development.
Can automation and AI finally make science run at the speed of thought? Eric Ma shares how disciplined systems, not new models, will drive the next wave of discovery.
Nonequilibrium switching (NES) offers a faster, more scalable way to predict how strongly drugs bind to their targets. By replacing slow equilibrium simulations with rapid, parallel transitions, NES delivers accurate free energy predictions at speed.
Demands on central laboratories are consistently increasing, heightening the challenge to deliver operational excellence and the highest standard of scientific integrity with both speed and agility. ICON Laboratories is transforming the way we leverage data and intelligent operational models to meet evolving trial needs.
At ELRIG’s Drug Discovery 2025, Drug Target Review spoke with the teams turning big ideas into usable tools – automation, AI and biology – that help scientists work smarter.
Dublin-based biotech Meta-Flux has raised €1.8M ($2M) in seed funding to expand its AI-driven platform for preclinical drug development, helping researchers predict drug success and accelerate the pathway from lab to clinic.
Researchers have developed a new blood test method, CloneSeq-SV, that tracks treatment-resistant ovarian cancer cells over time. The approach could help predict recurrence and guide targeted therapies.
12 August 2025 | By Wuxi Biologics
This expert-led webinar discusses how to break through common bottlenecks in TCR discovery with practical strategies that help teams move faster and smarter.