Technology
Explore technologies transforming drug discovery and development, including artificial intelligence, automation, genomics, bioinformatics, imaging, robotics, advanced laboratory platforms and computational tools that accelerate target identification, therapeutic innovation and translational research.
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ArticleCerebral organoids reveal how Ebola virus persists in neural tissue
How does Ebola virus survive long after recovery? A new study using human cerebral organoids explores viral persistence in neural tissue and the growing role of organoid models in drug discovery research.
ReportContext is everything: how spatial biology is changing our understanding of disease
Researchers can now analyse individual cells in extraordinary detail, yet understanding disease often requires more than studying cells in isolation. This report explores how spatial biology is revealing aspects of disease biology that cannot be captured through individual cells alone, and what that could mean for biomarker discovery, immunotherapy and drug development.
ArticleFlow-based human tumour models reveal immune responses missed by static culture
Static cultures may not tell the whole story when it comes to immunotherapy performance. Results from the Mera™ flow-based human tissue model show stronger T-cell activity and cytokine responses under physiological flow, highlighting the role of dynamic immune–tumour interactions in preclinical testing.
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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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.
ArticleWhy scaling human-derived models is pharma’s next big challenge
Many drugs still fail after promising preclinical results, raising difficult questions about how disease is modelled in the lab. Researchers are now turning to organoids and iPSC-derived systems to build more predictive models for drug discovery and reduce costly late-stage failures.
ArticleWhy targeted therapies are exposing the limits of animal models – and what comes next
Traditional preclinical models are struggling to keep pace with a new generation of targeted therapies. As regulators embrace new approach methodologies (NAMs), vascularised tissue platforms are offering a more human-relevant approach to predicting drug efficacy and safety.
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.
ArticleMachine learning identifies biological signals linked to emotional hunger
Researchers at Phenomix Sciences are using machine learning and genetic risk scoring to investigate emotional hunger, an obesity phenotype linked to emotional and reward-driven eating behaviours. Dr Timothy O’Connor discusses how the approach could improve patient stratification, obesity research and treatment selection.
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.
ArticleTurning GWAS signals into drug targets with scalable CRISPR
Genome-wide association studies have linked thousands of genetic variants to disease, yet most remain disconnected from drug-relevant biology. Neville Sanjana, Professor at New York University and Core Faculty Member at the New York Genome Center, explains how scalable CRISPR screens systematically link noncoding variants to causal genes and therapeutic targets.
ArticleAACR 2026 part one: AI design, precision biology and the next wave of oncology innovation
At AACR 2026, industry leaders discussed how oncology R&D is moving beyond isolated technological advances towards integrated discovery systems.
ArticleOne sample. One shot. The pressure on sample preparation in drug discovery
In drug discovery, a failed sample run is not just a setback – it can mean months of lost work and significant cost. At Analytica 2026, three Eppendorf experts explain how the right tools, workflows and mindset are changing that.
ArticleWhen scale meets insight: reinventing SPR for the future of drug discovery
Carterra’s new 48-channel SPR platform reimagines throughput, automation and data quality for modern discovery workflows.
ArticleDrug Target Review launches new website designed for drug discovery professionals
Drug Target Review has launched an updated website to improve access to content across early-stage drug discovery, alongside a new membership model that offers a gateway to premium analysis, reports and expert commentary.
ArticleWhy lower organisms matter for neurodegeneration drug discovery
In the wake of recent government policy aimed at actively replacing animal models in drug discovery, we consider a possible solution to the translational shortfalls of current cellular methodologies for neurodegenerative disease.
ArticleFrom leaderboards to lab notebooks: AI designs reach preclinical testing
For years, AI drug discovery has been judged on benchmark performance. Now, a set of studies shows what happens when those designs are made and tested in preclinical settings.
ArticleVariant or viable target? How resolving complex genomic regions is reshaping rare disease therapeutics
Dr Aaron Wenger reveals how improvements in long-read sequencing technology is enabling the elucidation of complex disease mechanisms for targeted and effective treatments for rare diseases.
ArticleThe future of academic core labs: scaling operational excellence without increasing staff
The grounds have shifted the foundations of academic core facilities and the current climate demands their strategic agility in order to thrive. Boyd Butler at Molecular Devices reveals how these labs can capitalise on this opportunity to increase value and efficiency.