All Drug Development articles
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ArticleFrom R&D to QC: building a single analytical strategy for cell and gene therapies
From early research to quality control, maintaining analytical continuity is no easy task. Could a single sequencing workflow help simplify analytical assessment?
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ArticleAntibody recycling, FcRn and the next generation of biologics
One receptor can protect antibodies from degradation, extend their half-life and become a drug target itself. Explore the science behind FcRn and how researchers measure its function.
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NewsTranexamic acid cuts post-hepatectomy liver failure risk threefold
An international multi-centre study has found that tranexamic acid, a widely available and inexpensive haemostatic agent, could reduce the risk of post-hepatectomy liver failure threefold, offering a potential new preventive strategy for one of liver surgery’s most feared complications.
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InterviewThe global push to reduce animal testing in drug development
Non-animal methods are already used throughout early drug discovery, yet animal testing continues to dominate regulatory safety assessment. Recent initiatives suggest change is coming, but significant scientific and practical challenges remain.
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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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NewsLabGenius and LG Chem partner on AI-driven cancer antibodies
LabGenius Therapeutics has partnered with LG Chem to develop next-generation multispecific antibodies targeting solid tumours. The collaboration combines AI-driven drug discovery with oncology development expertise to identify therapeutics with improved selectivity and reduced toxicity.
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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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NewsAI-powered $6M project targets new Alzheimer’s treatments
A $6 million NIH-funded collaboration between Indiana University School of Medicine and Luddy School of Informatics aims to deploy AI and machine learning to identify promising Alzheimer’s drug candidates, screening billions of compounds to overcome traditional discovery bottlenecks.
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NewsGlycine transporter suppression restores NMDAR function in autism models
Researchers have identified a novel therapeutic strategy for autism spectrum disorder by suppressing the glycine transporter SLC6A20, successfully restoring NMDA receptor function in both mouse models and human cortical organoids carrying SHANK2 and SHANK3 mutations.
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ArticleFlow-based human tumour models reveal immune responses missed by static culture
Static cultures can miss critical immune–tumour interactions. Learn how the Mera™ flow-based human tissue model better captures T-cell activity to strengthen preclinical immunotherapy research.
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ArticleAACR 2026 part two: integrating AI, spatial biology and next-gen therapeutics
In part two of our AACR 2026 coverage, industry leaders were focussed on how the field is no longer constrained by data generation or molecular design, but by the challenge of connecting systems, standardising workflows and ensuring biological insights.
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NewsNotch2 enables breast cancer dormancy in protective bone marrow niches
New research has demonstrated how breast cancer cells exploit protective bone marrow niches to remain dormant for years, identifying Notch2 signalling and stem cell-like markers as key regulators of cellular dormancy that could inform therapeutic strategies to prevent relapse.
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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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ArticleFrom chemist to AI agent builder: inside the rise of agentic AI in drug discovery
Dr Raminderpal Singh speaks with Dr Srijit Seal about why specialised AI agents are outperforming general-purpose models in drug discovery and what a new consortium paper shows about their use in practice.
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NewsHow researchers are recreating the human heart in the lab
Many promising therapies fail because preclinical models do not fully capture the complexity of the human heart. A new review explores how 3D cardiac constructs could improve disease modelling, drug screening and safety assessment.
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NewsAI identifies 23 antiviral candidates for Bundibugyo Ebola strain
US researchers have deployed artificial intelligence and molecular docking software to identify 23 antiviral compounds with potential activity against Bundibugyo Ebolavirus, as the rare strain continues to spread in the Democratic Republic of Congo with a fatality rate approaching 40 percent.
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NewsCardiac organoids repair heart attack damage in preclinical study
Researchers have developed a scalable bioreactor-based system to produce cardiac organoids that successfully integrated into damaged heart tissue in porcine models of myocardial infarction, improving cardiac function and reducing scar formation without triggering arrhythmias.
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ArticleBeyond tangles: why soluble intracellular tau should guide drug discovery
Tau tangles are a hallmark of Alzheimer’s disease and related disorders, but evidence suggests the real damage may come from rare, soluble tau species inside neurons. Targeting these hidden drivers of circuit dysfunction could be key to restoring memory and cognition.
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NewsISSCR consortium submits recommendations on NAMs to FDA
The ISSCR Consortium on Advanced Stem Cell-Based Models is calling for greater flexibilty from the FDA to accomodate rapidly changing technologies like stem cell-derived systems, organoids and computational approaches.