Targeting the clock: new drug disrupts glioblastoma stem cells
Scientists have developed a new drug, SHP1705, that targets hijacked circadian clock proteins used by glioblastoma stem cells to grow and resist treatment.
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Scientists have developed a new drug, SHP1705, that targets hijacked circadian clock proteins used by glioblastoma stem cells to grow and resist treatment.
CatalYm announces new preclinical data showing that its clinical-stage antibody, visugromab, can overcome resistance to antibody-drug conjugates (ADCs), showing potential to restore anti-tumour immune responses in solid tumours.
Metrion Biosciences has introduced a breakthrough NaV1.9 screening assay, aimed at overcoming historical challenges in pain research and advancing the development of non-opioid treatments.
Cell and gene therapy is rapidly transforming the treatment of complex diseases, yet scaling production efficiently remains a challenge. Dr Tia Harmon from PHC Corporation of North America explores the innovations that are optimising cell expansion to enhance the discovery of advanced therapies.
Researchers at Osaka Metropolitan University have found that plasma-activated medium (PAM) significantly reduces synovial sarcoma tumour growth in both lab and animal models, offering a promising new approach for treating this rare and aggressive cancer.
See how the new Shasta™ Single Cell System enabled high-throughput single-cell DNA-seq library preparation to detect tumor-driving mutations.
In this second interview of the series, Andreas Kolleger, Head of GenAI Innovation at Neo4j, discusses how knowledge graphs and AI are transforming scientific discovery and improving life sciences workflows.
Researchers at Keio University have developed long-lasting, functional human liver organoids from frozen hepatocytes, marking a huge moment in organoid science.
Researchers in Norway have identified a promising oral drug combination that may stop the replication of enteroviruses, a group of viruses responsible for illnesses ranging from the common cold to type 1 diabetes.
Three-dimensional (3D) models are reshaping pre-clinical drug development by providing more accurate insights into drug safety and efficacy. Explore how these advanced in vitro systems help improve predictions and reduce the risk of failure in early-stage drug discovery.
Researchers have developed a test that accurately predicts whether patients with ALK-positive lung cancer will respond to targeted treatments. This could significantly enhance personalised cancer therapies and overcome treatment resistance.
Researchers at ETH Zurich in Switzerland have mapped the complex network cells use to repair their genetic material, revealing previously hidden vulnerabilities in cancer cells.
Deep learning is transforming lung disease treatment by enabling earlier diagnosis, precise monitoring and more efficient clinical trials. This article explores how AI-driven imaging is accelerating drug development and improving patient outcomes.
In this first interview of a two-part series, Andreas Kolleger explores the convergence of knowledge graphs and large language models. As the head of GenAI innovation at Neo4j, Andreas brings a unique cross-industry perspective on how these technologies can enhance life sciences workflows.
A preclinical study conducted by researchers at Weill Cornell Medicine have demonstrated a new gene-editing strategy to treat short bowel syndrome (SBS), a life-threatening condition in which patients lack a functional small intestine.