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insitro has acquired Israeli AI therapeutics company CombinAbleAI and launched its TherML platform, creating an end-to-end, modality-agnostic system for designing small molecules, antibodies, oligonucleotides and other complex biologics.
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.
Kobe University researchers have developed a new way of freeze induced pluripotent stem cells (iPS cells) directly in their culture dishes without losing viability or pluripotency.
UK life science software company Lab Thread has launched the beta of its unified lab platform, designed to streamline research workflows.
Scientists have developed an automated method to grow lung organoids, with the hope of speeding up drug testing, reducing reliance on animal models and helping to develop new personalised treatments.
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.
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.
Everyone talks about AI speeding up drug discovery, but Eric Ma explains why, without clean data and statistical discipline, it can actually do the opposite.
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.
Cambridge-based biotech firm Nuclera has partnered with Solve Scientific Australia to expand access to its eProtein Discovery™ System across Australia and New Zealand.
Automation now plays a central role in discovery. From self-driving laboratories to real-time bioprocessing, this report explores how data-driven systems improve reproducibility, speed decisions and make scale achievable across research and development.
Organoids are changing the landscape of biomedical research, with automation and AI driving new levels of consistency, scalability and human relevance. Aaron Risinger of Molecular Devices discusses how these technologies are advancing precision medicine – and the challenges that remain.
From precision proteomics to AI-powered immune profiling, next-generation laboratory technologies are changing how new therapies are discovered and developed. Here are four innovations set to shape the lab of the future - and the future of drug discovery.
What if familiar lab formats could be redesigned to remove the weak points in permeability and absorbance testing? This article explores how design choices in common consumables can improve both speed and reproducibility in early-stage research.
An interview with Thibault Géoui reveals why this technology wave might finally break through pharma's productivity crisis – and why it will take longer than the optimists claim.
