All Informatics articles – Page 4
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ArticleLab of the future: four technologies to watch
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.
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ArticleAnimal-free drug discovery is closer with QSP
Quantitative Systems Pharmacology (QSP) is fast becoming a standard tool in drug development, offering a human-relevant way to predict drug effects before the clinic. Dr Josh Apgar of Certara explains how it is helping to cut reliance on animal testing and speed discovery.
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NewsNew AI method maps how tuberculosis drugs destroy bacteria
Scientists at Tufts University have developed an AI tool that demonstrates how tuberculosis drugs kill bacteria – an advancement that could speed-up the discovery of shorter, more effective treatments.
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ArticleBeyond the hype: a veteran’s honest assessment of AI in drug discovery – Part 3
AI is starting to transform drug discovery, but progress is still slow and big challenges remain. Thibault Géoui explores the gaps, hurdles and breakthroughs needed before it can truly change pharma R&D.
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ArticleBeyond the hype: a veteran's honest assessment of AI in drug discovery - Part 2
Thibault Géoui explains why AI could finally help pharma overcome its productivity crisis and why the payoff won’t come as quickly as the optimists claim.
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NewsStriosomes may hold the key to better treatments for mental disorders
Scientists have developed a new computational model that reveals how the striosomal compartment of the brain’s striatum influences decision-making – which could lead to improved therapies for psychiatric disorders.
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ArticleBeyond the hype: a veteran's honest assessment of AI in drug discovery - Part 1
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.
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WebinarOvercoming Affinity and Expression Bottlenecks in TCR Discovery
This expert-led webinar discusses how to break through common bottlenecks in TCR discovery with practical strategies that help teams move faster and smarter.
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ArticleHow AI is quietly changing drug manufacturability
AI is moving beyond drug design to answer a critical question: can a promising compound actually be manufactured at scale? By predicting synthetic feasibility early, machine learning tools are helping drug developers avoid costly failures, streamline R&D and design molecules that are both effective and practical to produce.
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ArticleManaging CGT trials: the role of IRT from discovery to clinical development
Discover how interactive response technology (IRT) is revolutionising the management of cell and gene therapy (CGT) trials by streamlining complex workflows, ensuring regulatory compliance and enhancing patient outcomes.
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ArticleWhy smarter financial planning could be key to clinical trial success
Effective financial management is vital for clinical trial success, yet many preclinical and clinical companies face inefficiencies due to outdated systems. Jennifer Kyle, CEO of Condor Software, explains how advanced financial platforms can streamline processes, improve forecasting and ensure better resource allocation throughout drug development.
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ArticleFixing failed drugs: AI solutions for toxicity in drug discovery – part 3
What role could large language models and AI agents play in drug safety? In Part 3, Layla Hosseini-Gerami of Ignota Labs discusses how emerging technologies might make toxicity analysis faster, more accessible and part of the drug discovery workflow from day one.
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NewsNew AI model PROTsi identifies aggressive tumours using protein markers
Researchers in Brazil and Poland have developed an AI-powered tool that predicts cancer aggressiveness by analysing protein expression - offering new insights into tumour behaviour.
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ArticleFixing failed drugs: AI solutions for toxicity in drug discovery – part 2
Why do so many drug candidates fail before reaching patients – and can AI help stop the losses? In Part 2, Layla Hosseini-Gerami of Ignota Labs outlines the scope of the toxicity problem and explains why failures often come too late to fix.
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ArticleThe future of CNS drug development: signs of real progress
New therapeutic approaches are emerging for CNS disorders – but can they overcome the toughest barriers in drug development? Find out what is driving progress and what still stands in the way.
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ArticleNGS is evolving: collaboration and tech lead the way
Next-generation sequencing (NGS) is advancing fast – and it’s not happening in isolation. Strategic partnerships and automation are streamlining workflows and reshaping what's possible in genomics research.
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ArticleFixing failed drugs: AI solutions for toxicity in drug discovery – part 1
Why do so many drug candidates fail before reaching patients – and can AI help stop the losses? In Part 1, Layla Hosseini-Gerami of Ignota Labs outlines the scope of the toxicity problem and explains why failures often come too late to fix.
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ArticleWhat single cells are revealing about brain disorders
Single-cell and spatial technologies are giving researchers an unprecedented view of how brain diseases like Alzheimer’s really work. The result? Faster discovery, clearer targets and a new path towards more effective treatments.
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ArticleFixing drug discovery’s most persistent problem with AI
AI will not replace drug discovery, but it might finally fix one of its most frustrating bottlenecks. Read how a targeted approach to ADMET is cutting through the noise.
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WebinarEarly De-Risking: In Vitro Safety Strategies for Pre-IND Success
Safety data is no longer just a regulatory checkbox - it’s a strategic advantage. Discover how in vitro and computational tools reduce the reliance on animal testing and support smarter, earlier decision-making in drug discovery.