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.
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.
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.
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.
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.
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.
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.
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.
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.
At AACR 2026, industry leaders discussed how oncology R&D is moving beyond isolated technological advances towards integrated discovery systems.
Research published in Nature Communications shows how generative AI can be used to design complex dual-action cancer drug candidates. Insilico Medicine has developed a PKMYT1 degrader that both eliminates the target protein and blocks its activity, demonstrating the growing role of AI in advanced drug discovery.
Promatix Biosciences is developing a new generation of bispecific antibody–drug conjugates using proprietary membrane proteomics data to identify highly selective target pairings. CEO Dr Michael Hunter explains how the company’s TXPro database enables discovery of previously unexplored tumour biology to improve therapeutic index and reduce on-target/off-tumour toxicities in solid tumours.
Researchers have uncovered how cells sense amino acids and activate the mTORC1 growth pathway, identifying LARS1 phosphorylation as a critical upstream switch with implications for more precise cancer drug development.
Scientists at The Wistar Institute have engineered a DNA-delivered bispecific T cell engager using a ‘knob-into-hole’ antibody platform, demonstrating improved persistence and dual-antigen targeting in preclinical ovarian cancer models.
Two studies from Weill Cornell Medicine demonstrate that patient-derived tumour organoids can accurately replicate cancers long-term and incorporate immune microenvironments, offering new potential for personalised treatment selection.
Researchers at MD Anderson Cancer Center have used spatial transcriptomics to chart the internal architecture of muscle-invasive bladder cancer, revealing that luminal and basal cancer cell programmes coexist within single tumours – a finding with significant implications for treatment stratification.
Crown Bioscience has joined the Critical Path Institute’s New Approach Methodologies Developer Coalition, bringing patient-derived model expertise and biomarker capabilities to efforts aimed at establishing regulatory qualification frameworks for human-relevant research tools.
A novel epigenetic therapy has demonstrated activity against treatment-resistant acute myeloid leukaemia in preclinical models, including high-risk TP53-mutant disease, by selectively reactivating the Hippo tumour-suppressor pathway.