AI can rapidly generate new protein binders, but wet-lab validation remains a major bottleneck. Combining cell-free protein synthesis with surface plasmon resonance (SPR) enables AI-designed antibody binders to be screened directly from crude extracts, bypassing lengthy cell culture and purification steps.
As genomic studies become larger and more diverse, sample collection can make or break their success. Discover why collection strategy matters for recruitment, scale and data quality.
What happens when the cellular machinery making therapeutic proteins slows down? New research in Nature shows why translation speed could matter for the design of mRNA medicines.
What if depression is not one disease, but many biologically distinct conditions? A major research programme is investigating what this could mean for biomarkers, drug targets and treatment.
This webinar examines the design trade-offs and technical constraints involved in building a high-throughput robotic imaging pipeline for complex biological workflows.
AI is transforming drug discovery - but beyond the hype, what’s actually delivering results? In this expert-led webinar, industry leaders explore where AI is accelerating target identification, molecule design and hit discovery, while also confronting the real-world challenges of data quality, validation and adoption. Discover what’s working today, what still ...
Discover how a new peptide tool, WRPRFa, is helping researchers better understand pain pathways and accelerate the search for next-generation analgesics.
This expert-led webinar discusses how to break through common bottlenecks in TCR discovery with practical strategies that help teams move faster and smarter.
What if depression is not one disease, but many biologically distinct conditions? A major research programme is investigating what this could mean for biomarkers, drug targets and treatment.
What if extreme levels of common traits have a different genetic basis? New research suggests rare, large-effect variants could help explain the extremes and identify potential 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.
Why do some colorectal cancers resist immunotherapy? Analysis of patient tumour samples has identified a population of fibroblasts that could help explain treatment resistance.
AI can rapidly generate new protein binders, but wet-lab validation remains a major bottleneck. Combining cell-free protein synthesis with surface plasmon resonance (SPR) enables AI-designed antibody binders to be screened directly from crude extracts, bypassing lengthy cell culture and purification steps.
What happens when the cellular machinery making therapeutic proteins slows down? New research in Nature shows why translation speed could matter for the design of mRNA medicines.
Human biospecimens can bring drug discovery closer to human disease, but their value depends on far more than the sample itself. We explore the factors that determine how much researchers can learn from them.
What if depression is not one disease, but many biologically distinct conditions? A major research programme is investigating what this could mean for biomarkers, drug targets and treatment.
AI can rapidly generate new protein binders, but wet-lab validation remains a major bottleneck. Combining cell-free protein synthesis with surface plasmon resonance (SPR) enables AI-designed antibody binders to be screened directly from crude extracts, bypassing lengthy cell culture and purification steps.
As genomic studies become larger and more diverse, sample collection can make or break their success. Discover why collection strategy matters for recruitment, scale and data quality.
What happens when the cellular machinery making therapeutic proteins slows down? New research in Nature shows why translation speed could matter for the design of mRNA medicines.
What if depression is not one disease, but many biologically distinct conditions? A major research programme is investigating what this could mean for biomarkers, drug targets and treatment.
AI can rapidly generate new protein binders, but wet-lab validation remains a major bottleneck. Combining cell-free protein synthesis with surface plasmon resonance (SPR) enables AI-designed antibody binders to be screened directly from crude extracts, bypassing lengthy cell culture and purification steps.
As genomic studies become larger and more diverse, sample collection can make or break their success. Discover why collection strategy matters for recruitment, scale and data quality.
What happens when the cellular machinery making therapeutic proteins slows down? New research in Nature shows why translation speed could matter for the design of mRNA medicines.
Human biospecimens can bring drug discovery closer to human disease, but their value depends on far more than the sample itself. We explore the factors that determine how much researchers can learn from them.
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?
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.
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.