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In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.
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.
Researchers at Moffitt Cancer Center have discovered that blocking a chemical process called nitrosylation can make aggressive NRAS-mutant melanoma more responsive to treatment.
A glycine-based compound developed at the University of Michigan, originally designed to treat severe fatty liver disease, has shown powerful effects in reducing atherosclerosis and vascular calcification in animal models.
McGill University researchers have found that two drugs can eliminate senescent “zombie cells” in spinal discs, offering a potential new treatment for chronic low back pain.
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.
Claudia Zylberberg, Chair of Kosten Digital, reveals how AI is revolutionising cell and gene therapy, making drug discovery faster and more cost-effective.
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.
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.
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.
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.
Rutgers researchers have discovered new insights into how polycystic kidney disease (PKD) progresses, which could lead to more targeted treatments. This breakthrough may help improve therapies for PKD patients in the future.
Discover how α-synuclein tests are transforming the diagnosis and treatment of neurodegenerative diseases, offering hope for earlier detection, better-targeted therapies and faster drug development.
