All Artificial Intelligence & Computational Tools articles
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ArticleAI’s real value in drug discovery may be choosing the right experiment
AI is becoming more capable, but its value still depends on the data, questions and decisions behind it. Where is it genuinely improving drug discovery and where do the limitations remain?
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NewsAccessible multiplex imaging workflow advances spatial liver disease research
A new multiplex immunofluorescence workflow using standard laboratory equipment and open-source software enables detailed spatial analysis of liver tissue, organoids and organ-on-a-chip models, lowering barriers to advanced spatial biology in hepatology research.
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NewsLargest chemical reactions database launched to boost AI drug discovery
Researchers at the University of Michigan have assembled a database of more than 50,000 chemical experiments, offering AI systems an unprecedented resource to accelerate drug discovery and reduce reliance on scarce precious metal catalysts.
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NewsAI uncovers antimicrobial peptides hidden within prion proteins
Researchers at the University of Pennsylvania have used artificial intelligence to identify a new class of antimicrobial peptides within prion proteins, traditionally associated with neurodegenerative disease. The discovery reveals 1,179 potential antibiotic candidates, with laboratory and animal studies confirming activity against drug-resistant bacterial strains.
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ArticleDrug development has changed. Bioanalysis is changing with it
As drug developers pursue increasingly complex therapies, traditional bioanalytical approaches are being put to the test. How is the field adapting to meet these new demands?
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NewsEuropean initiative aims to bring molecular dynamics into mainstream drug discovery
What if the vast amounts of data generated by molecular dynamics simulations could be routinely shared and reused? A new €10 million European initiative aims to do just that, helping researchers gain a deeper understanding of protein behaviour and drug-target interactions.
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ReportAI in Drug Discovery: Progress, Limits and What Comes Next
AI has attracted enormous investment across drug discovery, but major questions still remain around validation, reproducibility and real-world application. In our latest Beyond the Lab report, experts discuss where the technology is starting to influence discovery workflows – and where limitations continue to slow adoption.
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NewsELRIG announces keynote speakers for Drug Discovery 2026 conference in London
ELRIG has announced its keynote speaker programme for Drug Discovery 2026, with LifeArc’s Dr Sam Barrell CBE delivering the opening address.
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ArticleWhy AI models need patient data to deliver in drug discovery
Despite rapid advances in AI, many drug discovery models still struggle to translate computational predictions into clinical outcomes. Thomas Clozel explains how Owkin is training AI on large-scale patient-derived data while integrating experimental and clinical validation directly into model development.
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NewsAI system reduces animal testing in drug discovery by 50 percent
German researchers have developed genESOM, a generative AI system that could reduce animal numbers in preclinical drug testing by 30 to 50 percent.
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ArticleThe scale divide: competing strategies in AI drug discovery
Two approaches to AI in preclinical drug discovery are diverging, from multi-thousand GPU systems to models with only a handful of parameters, with early results raising questions about which will deliver.
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NewsAI system detects pain in laboratory mice through facial analysis
Researchers at ETH Zurich have developed an automated system that uses infrared imaging and artificial intelligence to assess pain in laboratory mice by analysing subtle facial expressions, offering a more consistent and humane alternative to traditional manual observation methods.
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NewsELRIG announces keynote speakers for Advances in Cell-based Screening 2026 in Gothenburg
ELRIG has announced the keynote speakers for its 2026 Advances in Cell-based Screening conference in Gothenburg, where scientists will gather to explore how human-first models, advanced cell biology and AI are changing the future of drug discovery.
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NewsNew AI tool could accelerate drug discovery and cut lab costs
Scientists have developed a machine learning system that can predict how complex chemical reactions will produce the correct molecular form for medicines.
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NewsNew AI foundation model aims to speed up drug discovery
Insilico Medicine and Liquid AI have partnered to develop a lightweight artificial intelligence foundation model designed to support multiple stages of drug discovery.
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ArticleMaking immunotherapy safer and more accessible through continuous digital monitoring
Immunotherapies such as CAR-T are extending survival, yet reliance on inpatient monitoring for cytokine release syndrome continues to restrict access. This article explores how continuous digital monitoring and AI-driven analysis could enable safer outpatient delivery and support more scalable immunotherapy adoption.
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ArticleAdvancing drug discovery with reproducible, animal-free 3D systems
Lukas Gaats and his team at mo:re are using automation to bring consistency to 3D cell culture and move drug discovery beyond animal models. Read on to find out how.
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ArticleVibe coding 101 for drug discovery scientists
Find out how AI-assisted development is democratising software creation in life sciences.
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ArticleAI begins to enter Alzheimer’s drug discovery pipelines
Artificial intelligence is increasingly used to analyse large, multimodal Alzheimer’s datasets and inform target discovery and trial design. A new JPAD special issue highlights how these methods are moving from experimentation towards practical application in drug discovery.
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NewsVirus-mimicking LENN nanoparticles deliver mRNA to bladder cancer cells
Researchers have developed virus-inspired LENN nanoparticles that deliver mRNA therapies directly to bladder cancer cells, remain stable after freeze-drying and avoid triggering immune responses.