All 3D Cell Cultures articles
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NewsELRIG Drug Discovery 2026 celebrates 20th anniversary at ExCeL London
ELRIG Drug Discovery 2026 returns to ExCeL London for its 20th year, with AI, automation and advanced cell models among the technologies set to feature across the two-day programme.
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NewsSynthetic protein targets TLR4 within membrane to curb inflammation
Scientists at Scripps Research have engineered a synthetic protein capable of binding to Toll-like receptor 4 within the cell membrane, reducing inflammatory signalling.
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NewsInsilico Medicine nominates AI-designed ISM1354 GIPR antagonist for obesity
Insilico Medicine has nominated ISM1354, an AI-designed small-molecule GIPR antagonist, as a preclinical candidate for obesity and related metabolic disorders.
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NewsMathematical model reveals self-reinforcing mechanism behind HE-S2 ADC cancer therapy
A mathematical model developed by researchers from Mass General Brigham and the University of Cyprus suggests that the experimental immunomodulatory antibody-drug conjugate HE-S2 may become progressively more effective as it reduces tumour size.
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ArticleHow disease exposes hidden epitopes that AI models may miss
A protein can look very different in disease without a single change to its sequence. Measuring these structural changes could reveal drug targets invisible to genomic and expression data alone.
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NewsBig Picture Bio raises £2.2m to develop AI cancer combination therapies
UK-based cancer drug discovery company Big Picture Bio has closed £2.2 million in funding to advance AI-designed combination therapies into laboratory validation, using a generative world model to map complex tumour biology across disease sites and patient subgroups.
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NewsLiver cancer organoids used to screen 1,600 potential treatments
Researchers at the University of Basel have screened more than 1,600 compounds using a biobank of 35 hepatocellular carcinoma organoids, identifying drug combinations that show selective anti-tumour activity across biologically diverse liver cancers.
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NewsInsilico launches specialist AI models for drug discovery chemistry
Insilico Medicine has unveiled a suite of compact, domain-trained AI models targeting ADMET prediction, retrosynthesis and target activity across GPCR and kinase panels, claiming state-of-the-art results on more than 70 benchmarks.
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ArticleSix assay requirements every researcher using NAMs should know
As NAMs become more widely used in drug discovery, assays must meet the demands of more complex models. Discover six requirements for reliable, reproducible and biologically meaningful data.
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NewsStem cell-grown kidney organoids could help uncover new treatments for AKI
Researchers at Monash University have grown miniature human kidneys from stem cells that could give drug discovery teams a more human-relevant model for investigating acute kidney injury and identifying therapies that promote tissue recovery.
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Article600+ patient-derived cancer models expand the search for drug targets
Hundreds of new patient-derived cancer models could strengthen target validation, identify cancer vulnerabilities and provide more representative systems for preclinical drug discovery.
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NewsHuman heart organoids with functioning valves model cardiac valve disorders
Researchers have engineered human heart organoids complete with functioning valves, creating a physiologically relevant platform to study valve disorders including mitral valve prolapse and valve calcification, and potentially accelerating the search for new treatments.
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NewsAutomated MRI pipeline standardises preclinical stroke damage measurement
An automated imaging pipeline developed at USC’s Stevens Neuroimaging and Informatics Institute can measure stroke-related brain tissue damage from MRI scans with accuracy matching human experts, offering a scalable, standardised tool for preclinical drug evaluation across multi-site research networks.
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NewsAI identifies experimental drug targeting undruggable cancer protein
Mayo Clinic researchers have used AI to screen nearly 40,000 compounds and identify a small molecule inhibitor targeting GIPC1, a protein previously considered undruggable, with preclinical results showing slowed tumour growth and enhanced chemotherapy response.
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NewsInsilico Medicine nominates AI-designed candidate for ocular diseases
Insilico Medicine has nominated ISM9077, an AI-designed small molecule targeting pathological inflammation, as its 32nd preclinical candidate since 2021, with potential applications across dry AMD, uveitis and dry eye disease.
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ArticleGene therapy’s biggest challenge is the cell’s own defence mechanisms
What if one of gene therapy’s biggest obstacles isn’t delivery, but the body’s own cells? Discover why DNA silencing is emerging as a major challenge for long-lasting genetic medicines.
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NewsResearchers develop AI system to accelerate tuberculosis drug discovery
Researchers at Texas A&M have developed AI-driven platforms to help scientists navigate the bottlenecks of tuberculosis drug discovery, from eliminating nuisance compounds to unlocking years of archived research data.
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NewsInsilico Medicine nominates ISM9528 non-opioid chronic pain candidate using AI
Insilico Medicine has nominated ISM9528, an orally available, brain-penetrant non-opioid candidate targeting a previously unrecognised pain mechanism, as its 31st AI-generated preclinical compound since 2021, with efficacy exceeding morphine in some preclinical models.
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NewsTumour organoids may expand access to targeted cancer drugs
Two studies from Weill Cornell Medicine demonstrate that patient-derived tumour organoids can accurately replicate cancers long-term and incorporate immune microenvironments, offering new potential for personalised treatment selection.
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ArticleHow AI and human biology data led to a new addiction drug candidate
How can human biology data improve target selection? Learn how one discovery programme identified a potential new treatment for opioid use disorder.