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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 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.
ArticleWomen in STEM: resilience and leadership in rare disease research
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.
ArticleBeyond serendipity: rational design and AI’s expansion of the undruggable target landscape
For decades, drugging the ‘undruggable’ was thought to require luck rather than logic. Today, AI is transforming serendipity into strategy by enabling rational, data-driven approaches to previously inaccessible targets.
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ArticleOperational data: the hidden driver of faster drug discovery
The key to faster, smarter drug discovery lies in data that’s often overlooked. By exposing hidden delays and inefficiencies, this data enables teams to shorten discovery cycles and progress promising candidates faster.
ArticleFrom fragments to maps: scaling drug–target interaction data
Most drug–target data were never designed to be compared at scale. Pharmome mapping takes a different approach, building a shared dataset intended to support more predictable discovery.
InterviewPhysics-based modelling offers a new way to study drug targets
Australian start-up OmnigeniQ has demonstrated what it describes as the first deterministic, physics-based computation of a human protein in its native state.
ArticleAnticipating adaptation: understanding and overcoming cancer drug resistance
Neil Bhowmick explores how understanding the mechanisms of cancer drug resistance has reframed our approach to treatment, revealing containment and control as realistic goals for therapeutic strategies.
ArticleKMA and LMA antigens emerge as high value targets for plasma cell dyscrasia treatment
Research published in Clinical Lymphoma, Myeloma and Leukemia identifies Kappa Myeloma Antigen and Lambda Myeloma Antigen as highly selective immunotherapy targets across plasma cell dyscrasias.
InterviewFrom scientist to bioinformatician: how AI coding tools dissolved the activation energy barrier
A biotech CEO with decades of scientific experience but sporadic coding practice gained practical bioinformatics capabilities in six weeks using AI coding assistants.
ArticleWhy NMDA receptor modulation remains central to next-generation depression therapies
A key player in brain communication and mood regulation, the pharmaceutical industry views the NMDAR as the central pillar for next-generation therapies for depression. Dirk Beher from FundaMental Pharma reveals new strategies for targeting this important receptor.
ArticleDiscovery is changing – and automation leads the way
Automation is helping drug discovery teams screen faster, cut costs and run complex assays at scale – but its real value lies in what happens next.
ArticleNavigating IND delays: strategic options for early-phase biotech development
As IND timelines lengthen, early-stage biotechs face growing uncertainty in early clinical planning. This article explores how sponsors are increasingly diversifying their development strategies and why New Zealand represents an attractive option.
ArticleWorld ADC 2026: where antibody-drug conjugates are heading
At World ADC London 2026, experts highlighted how advances in payload design, targeting strategies and AI-driven discovery are changing antibody–drug conjugate development.
ArticleInternational Women’s Day: digital pathology in early drug discovery
For International Women’s Day, Dr Amanda Hemmerich, Global Director of Digital Pathology & Innovation at IQVIA Laboratories, describes how digital pathology is being applied in early drug development and what it takes to build credibility in a multidisciplinary technical field.
ArticleWhy most labs are not ready for AI: Cenevo shares what must change
Most labs want to use AI, but few have the digital foundations to support it. Cenevo’s leaders explain why progress is slow and what laboratories must fix before AI can deliver real value.
ArticlePreclinical takeaways from the World ADC Conference London
Experts from the World ADC Conference in London highlight how patient-centric, predictive preclinical tools and innovative ADC designs are improving safety, efficacy and clinical translation.
ArticleDrug discovery integration takes centre stage at SLAS Boston 2026
Drug discovery has no shortage of powerful technologies, but the challenge now is making them work together. At SLAS Boston 2026, researchers and technology developers revealed how laboratories are connecting the entire experimental pipeline.
ArticleMaking immunotherapy safer and more accessible through continuous digital monitoring
Immunotherapies such as CAR-T are extending survival, yet reliance on inpatient monitoring for cytokine release syndrome continues to restrict access. This article explores how continuous digital monitoring and AI-driven analysis could enable safer outpatient delivery and support more scalable immunotherapy adoption.
ArticleAdvancing drug discovery with reproducible, animal-free 3D systems
Lukas Gaats and his team at mo:re are using automation to bring consistency to 3D cell culture and move drug discovery beyond animal models. Read on to find out how.