news
K Navigator: an AI co-pilot transforming biomedical research
K Navigator, a new AI-powered research co-pilot, is set to transform biomedical science by helping researchers explore complex data and accelerate discoveries.
List view / Grid view
Imaging, sequencing & screening
news
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.
article
How AI and LLMs are transforming drug discovery: part 1
AI is reshaping drug discovery – but not without resistance. In this two-part conversation, André França and Eli Pollock share honest insights about the real barriers to AI adoption in life sciences and how embedding domain expertise into AI workflows might be the key to unlocking its full potential.
news
High-throughput NaV1.9 assay to advance pain therapies
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.
news
New plasma therapy fights aggressive soft tissue cancer
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.
article
Using knowledge graphs in drug discovery (Part 2): how they’re shaping scientific progress
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.
news
New liver organoids research brings hope for drug development
Researchers at Keio University have developed long-lasting, functional human liver organoids from frozen hepatocytes, marking a huge moment in organoid science.
whitepaper
Beyond the Lab: Clinical Trials
Explore how artificial intelligence (AI), biomarkers, and innovative trial technologies are creating a more efficient, data-driven future for drug discovery. From better patient selection to smarter trial design, see how clinical research is evolving to deliver new therapies faster.
news
New drug combination shows potential to treat enteroviruses
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.
news
Lab-grown liver breakthrough could speed up drug development
Scientists have developed lab-grown liver organoids with functional zonation, a discovery that brings regenerative medicine a step closer to personalised, transplant-free liver therapy.
news
Bone repair breakthrough: why men and women heal differently
Men and women heal bone injuries through distinct biological processes, challenging assumptions in regenerative medicine. The findings support the development of personalised implants and more effective, sex-specific treatment strategies.
news
Outsmarting cancer by exploiting DNA repair flaws
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.
news
Fibril ‘fuzzy coats’ boost Parkinson’s protein spread
New research reveals that the flexible ‘fuzzy coat’ surrounding α-synuclein fibrils plays a critical role in how Parkinson’s disease spreads between brain cells.
article
AI-powered imaging for faster lung disease treatment
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.
article
Using knowledge graphs in drug discovery (Part 1): how they link to large language models
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.
