All Informatics articles – Page 3
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NewsNew framework enhances reliability of virtual cell models
Shift Bioscience have announced new research revealing that AI-driven virtual cell models perform far better than previously thought when assessed with correctly calibrated metrics.
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ArticleBeyond weight loss: the gap in current drug development for obesity
Current obesity drug development remains overly focused on short-term weight reduction, despite obesity being a chronic, multifactorial disease. Broader, mechanism-driven approaches are needed to ensure durable efficacy, safety and accessibility.
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NewsRNA folding: new model could change future drug design
A Japanese research team has simulated how RNA molecules fold, using cutting-edge computational tools to model complex structures with accuracy – a breakthrough that could accelerate the development of RNA-based medicines and therapies.
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ArticleInside ELRIG Drug Discovery 2025: automation, AI and human-relevant models
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.
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ReportLab Automation: Where Discovery Scales
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.
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NewsHow AI and cell data combine to make drug discovery faster
Cellarity has published a new paper in detailing an AI-powered framework that integrates single-cell transcriptomics to make drug discovery faster and more successful.
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Article
From wild fungi to faster drug discovery
Nature’s pharmacy has yielded half of today’s medicines, yet most of its potential remains untapped. AI is now changing how quickly new therapies can be found.
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ArticleFrom war rooms to launch rooms: how AI is changing the game
Within3’s Jason Smith explores how artificial intelligence is breathing new life into next-generation launch situation rooms; delivering actionable insights for pharmaceutical companies.
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ArticleHow real-world data is accelerating drug discovery
Vish Srivastava considers the benefits of expanding the role of real-world data in drug discovery to provide improved therapies, faster and with greater success.
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ArticleBuilding reliable organoid models for human-relevant drug discovery
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.
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NewsMeta-Flux expands AI platform to speed up drug development
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.
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ArticleChemistry-aware AI offers new routes in small molecule design
AI has advanced molecule design, yet synthetic feasibility remains a bottleneck. Chemistry-first approaches offer a practical way forward.
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ArticleThe predictive validity crisis: Pharma’s productivity paradox – Part I
Drug discovery now costs 100 times more per FDA-approved drug than in 1950, despite vast advances in biology and computing. The core problem is the collapse of predictive validity in preclinical models, which sits at the heart of pharma’s productivity paradox.
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ArticleEye movements as objective biomarkers: accelerating CNS drug development
Measuring disease progression remains one of the biggest hurdles in CNS drug development. Eye movements, now trackable with just a laptop and webcam, are emerging as a sensitive and scalable biomarker that could transform how trials are designed and therapies reach patients.
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NewsHow smoking and alcohol shape mutations in our DNA
Researchers have refined a cutting-edge DNA sequencing tool that reveals how mutations accumulate in healthy tissues as we age, offering insights into the earliest stages of cancer development.
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NewsCloneSeq-SV: new blood test tracks ovarian cancer recurrence
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.
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ArticleBeyond templates: advancing protein–protein interaction structure prediction with AI
Dr Alan Nafiiev evaluates template-based, docking and template-free approaches to PPI prediction, highlighting how AI can enhance structural accuracy.
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ArticleFrom data to therapy: emerging tech driving cancer drug discovery
Multiomics, AI and liquid biopsies are giving researchers real-time insight into tumour biology and enabling more personalised cancer therapies. Find out how these technologies are advancing biomarker discovery, improving patient stratification, and guiding the design of new treatments.
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ArticleMaking sense of AI: bias, trust and transparency in pharma R&D
AI is increasingly used in drug discovery, but hidden bias and ‘black box’ models threaten trust and transparency. This article explores how explainable AI can turn opaque predictions into clear, accountable insights.
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ArticleAI meets human tissue to fast-track precision medicine development
By combining human tissue models with explainable AI, researchers can analyse complex patient data to identify which treatments work best for which patients. First applied to inflammatory bowel disease, this approach could improve clinical trial success rates across many diseases.