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.
The blood–brain barrier protects the brain from harmful substances, but it also prevents many medicines from reaching their target. Researchers are investigating whether focused ultrasound could safely improve drug delivery.
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.
From ChatGPT to AI agents and world models, where is AI really heading in drug discovery? Dr Raminderpal Singh explains what researchers should focus on now.
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.
Historical toxicology data is often underused. Find out how Virtual Control Groups and AI could help researchers strengthen safety assessment while making better use of existing data.
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.
From uncovering new drug targets to predicting human toxicity, organ chips are showing what they could bring to drug discovery. Professor Donald Ingber of Harvard University discusses where the technology is heading next.
AI is becoming more capable, but its value still depends on the data, questions and decisions behind it. Where is it genuinely improving drug discovery and where do the limitations remain?
From early research to quality control, maintaining analytical continuity is no easy task. Could a single sequencing workflow help simplify analytical assessment?
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.
Non-animal methods are already used throughout early drug discovery, yet animal testing continues to dominate regulatory safety assessment. Recent initiatives suggest change is coming, but significant scientific and practical challenges remain.
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?
By combining CRISPR knock-in with small peptide tags, researchers can study proteins in their native cellular context, generating more predictive data for translational drug discovery.
Discover how spatial biology is revealing disease mechanisms with implications for biomarkers, immunotherapy and drug development.
Static cultures can miss critical immune–tumour interactions. Learn how the Mera™ flow-based human tissue model better captures T-cell activity to strengthen preclinical immunotherapy 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.
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.