Discover the latest developments in drugs and therapies, covering drug discovery, biologics, vaccines, immunotherapies, gene and cell therapies, drug delivery technologies and novel therapeutic modalities advancing treatment options across a wide range of diseases.
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.
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.
Researchers at Cardiff University have identified urolithin A – a compound produced by gut bacteria during the metabolism of substances found in pomegranates – as a potential new approach for treating cardiovascular disease.
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.
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.
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.
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.
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.
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.
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.
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.
As antimicrobial resistance grows and patient populations become more complex, the limitations of antibiotics are becoming harder to ignore. Dr Helen Bright, CSO at Centauri Therapeutics, discusses a new approach that targets both the pathogen and the host.
At AACR 2026, industry leaders discussed how oncology R&D is moving beyond isolated technological advances towards integrated discovery systems.
Rare neurological diseases remain one of the most challenging areas in drug discovery, with many patients still lacking treatment options. Dr Nitza Thomasson discusses returning to Servier to lead its rare neurology therapeutic area and explains why resilience, curiosity and persistence are essential for those looking to build a meaningful career in STEM.
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.
Carterra’s new 48-channel SPR platform reimagines throughput, automation and data quality for modern discovery workflows.
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.
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.
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.
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.