Explore disease-focused research spanning cancer, neurological, cardiovascular, infectious, autoimmune, metabolic and rare disorders, featuring insights into disease mechanisms, biomarkers, target discovery and emerging therapeutic approaches that support advances in precision medicine and healthcare innovation.
Understanding where proteins are expressed throughout the body is critical for selecting better drug targets. Here’s how a new human proteome atlas could improve target selection, predict toxicity and support drug repurposing.
Many antibody therapies fail to reach all cancer cells within solid tumours. Researchers have developed a spatial biology technique that maps antibody distribution alongside the tumour microenvironment to investigate why.
How can human biology data improve target selection? Learn how one discovery programme identified a potential new treatment for opioid use disorder.
Ovarian cancer has long proved difficult to treat. Could the answer lie within the disease itself? Discover how synthetic iMSCs could reprogramme the tumour microenvironment and restore anti-tumour immunity.
One receptor can protect antibodies from degradation, extend their half-life and become a drug target itself. Explore the science behind FcRn and how researchers measure its function.
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.
Researchers at Cardiff University have identified urolithin A – a compound produced by gut bacteria during the metabolism of substances found in pomegranates – as a new approach for treating cardiovascular disease.
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.
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.
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 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.
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.
Functional genomics is central to modern drug discovery, yet high attrition rates persist. In this article, Dr Salman Tamaddon-Jahromi, a postdoctoral research associate at the University of Cambridge, discusses how end-to-end CRISPR screening strategies, iPSC-derived neuronal models and layered quality control can convert functional genomics signals into actionable therapeutic hypotheses.
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.
Early drug discovery has no shortage of genomic data, but confidence remains scarce. This report examines how CRISPR, functional genomics and human-relevant models are being applied to determine which signals matter, how they influence disease biology and which targets and strategies are worth pursuing.
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.
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.
At World ADC London 2026, experts highlighted how advances in payload design, targeting strategies and AI-driven discovery are changing antibody–drug conjugate development.