All Informatics articles – Page 2
-
ArticleAI steps into drug safety: predicting liver injury earlier than ever before
Drug-induced liver injury remains one of drug development’s most costly pitfalls. Now, AI and transcriptomics may offer a way to spot risks long before they reach patients.
-
NewsSchrödinger partners with Lilly TuneLab on AI drug discovery
Schrödinger has announced a collaboration with Eli Lilly’s TuneLab platform, integrating advanced AI-driven drug discovery workflows into its LiveDesign enterprise informatics system.
-
ArticleWhy tau still lacks treatments and how funders are responding
Tau drives PSP, CBD and other neurodegenerative diseases, yet there are still no disease-modifying treatments. Here, Dr Glenn Harris from the Rainwater Charitable Foundation shares how a coordinated funding effort is supporting basic research to understand tau mechanisms, improve detection and progress therapeutic development.
-
ArticleQuality over quantity: drug discovery automation in 2026
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.
-
NewsNew AI genomics platform targets kidney and cardiorenal disease
Seattle-based biotech company, Variant Bio, have launched Inference, an AI-powered genomics platform designed to accelerate drug discovery and identify genetically supported targets.
-
NewsNew Lumos AI platform targets precision in mental health drugs
Headlamp Health has launched Lumos AI®, a new decision-support platform designed to bring greater precision to neuroscience drug development.
-
ArticleAgentic AI: teaching machines to think like scientists
What happens when AI stops guessing and starts reasoning? Agentic AI is bringing scientific logic into the heart of drug discovery.
-
NewsInsilico secures $888million Servier partnership for AI oncology
Insilico Medicine and Servier have announced a multi-year collaboration to accelerate the discovery of new cancer therapies, using artificial intelligence to tackle challenging oncology targets and shorten early-stage drug development timelines.
-
ArticleThe data fragmentation problem holding drug discovery back
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.
-
NewsNew AI model links genetic mutations to specific diseases
Scientists have developed a new artificial intelligence tool that can identify harmful genetic mutations and predict the types of diseases they are likely to cause, offering faster diagnosis and new opportunities for drug discovery.
-
WebinarThe truth about AI in drug discovery: what the experts really think
AI is transforming drug discovery - but beyond the hype, what’s actually delivering results? In this expert-led webinar, industry leaders explore where AI is accelerating target identification, molecule design and hit discovery, while also confronting the real-world challenges of data quality, validation and adoption. Discover what’s working today, what still ...
-
ArticleThe future of obesity drugs starts in preclinical discovery
Progress in preclinical models and biomarker science is improving early-stage obesity drug development. This article outlines the emerging targets and technologies behind this shift.
-
NewsNew beta lab platform to streamline early-stage research
UK life science software company Lab Thread has launched the beta of its unified lab platform, designed to streamline research workflows.
-
NewsLife sciences face ‘scientific content crisis’ in AI adoption
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.
-
NewsBits2Bonds: AI system accelerates discovery of RNA delivery polymers
Researchers at LMU Munich have developed Bits2Bonds, the first platform to fuse molecular simulations with machine learning – accelerating the discovery of polymer carriers for therapeutic RNA.
-
ArticleThe mother of invention: from steam engines to AI-designed drugs
Every great leap in history started with a single, urgent need. Now AI is emerging as the next great engine of invention, transforming the future of medicine faster than ever imagined.
-
ArticleMapping the genome in 3D to reveal new drug targets
Find out how a three-dimensional view of the genome is giving scientists a clearer picture of disease biology and revealing new opportunities for targeted therapies.
-
OpinionMaking science run at the speed of thought: the reality of AI in drug discovery – Part 2
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.
-
ArticleFast, scalable free energy prediction with nonequilibrium switching
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.
-
ArticleMapping lipid pockets to drug the undruggable proteome
Tasca Therapeutics is using chemical proteomics to map lipid-binding pockets on proteins. By targeting auto-palmitoylation, the company aims to turn previously undruggable cancer drivers into viable therapeutic targets.