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App Note: High-Throughput Single-Cell Genome Profiling
See how the new Shasta™ Single Cell System enabled high-throughput single-cell DNA-seq library preparation to detect tumor-driving mutations.
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Drug Discovery Processes
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Allele-selective gene editing: a breakthrough in Huntington’s disease treatment
Huntington's disease remains a major challenge, but allele-selective gene editing offers new hope. By targeting only the mutant gene, this approach could provide a one-time, durable treatment. Life Edit’s Dr Amy Pooler reveals how this innovative therapy could reshape HD treatment.
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Scientists develop immunotherapy to disarm fat-fuelled tumours
A new study reveals how tumours hijack fat metabolism to suppress immune responses - and how a novel antibody, PLT012, may reverse this effect, offering new hope for treating immunotherapy-resistant cancers.
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New dual-targeting strategy shows promise in treating pancreatic cancer
Researchers at the University of Michigan have discovered a powerful combination therapy that eradicates pancreatic tumours in preclinical models, offering hope for new treatments against one of the most treatment-resistant cancers.
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Building the requisite clinical development infrastructure for medical innovation to thrive
Outdated clinical development systems are slowing breakthroughs like gene therapies and precision medicine. This article explores how a flexible, on-demand approach can accelerate drug development and bring innovations to patients faster.
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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.
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AI in drug discovery: faster, smarter, better
Claudia Zylberberg, Chair of Kosten Digital, reveals how AI is revolutionising cell and gene therapy, making drug discovery faster and more cost-effective.
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Building better drugs: how 3D models are shaping pre-clinical development
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.
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Advanced test predicts ALK inhibitor success in lung cancer
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.
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Next-gen ADCs: Tubulis sets new standard in cancer treatment
Tubulis, led by CEO Dominik Schumacher, is advancing cancer treatment through next-generation antibody-drug conjugates (ADCs) designed to target solid tumours more effectively. Find out how the company is rapidly progressing its ADC pipeline to offer more precise and lasting treatment options for patients.
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Guide: Create DNA Template for In Vitro mRNA Synthesis
Learn how to simplify the entire DNA template generation workflow, streamlining mRNA therapeutic research.
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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.
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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.
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LB-102: Redefining schizophrenia treatment in drug discovery
Find out how LB Pharmaceuticals' LB-102 is advancing schizophrenia treatment. This first-in-class antipsychotic demonstrates strong efficacy, safety and tolerability, potentially addressing both acute and negative symptoms. Explore its potential impact on neuropsychiatric drug discovery.
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Promising psoriasis treatment reduces symptoms without steroids
A team of scientists from the University of Birmingham has discovered a powerful new treatment for psoriasis. The treatment uses a tripeptide that has shown steroid-level effectiveness in reducing symptoms, offering fresh hope for the long-term management of this chronic skin condition.
