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Synthetic promoters enhance gene therapy precision
Discover how Chromatin Bioscience’s synthetic promoters are transforming gene therapy by enhancing precision, boosting safety and improving manufacturing efficiency.
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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.
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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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Early evidence and emerging trends: How AI is shaping drug discovery and clinical development
Drug development is plagued by high costs, long timelines and low success rates, but what if AI could change that? Read on to discover real-world examples and explore the transformative potential of AI in drug development.
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ABB’s robotics ecosystem: advancing lab efficiency in drug discovery
In this interview with Jose-Manuel Collados, learn how ABB's strategic partnerships and automation technology are improving lab efficiency, enhancing precision and ultimately speeding up the development of life-saving treatments.
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New insights into surfactant spread for lung drug delivery
A recent study led by Dr Richard McNair highlights the role of the Marangoni effect in surfactant spreading, offering potential improvements in drug development and delivery for lung diseases.
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Bacterial ‘jumping genes’ found to control chromosome ends
Cornell researchers have discovered how transposons, or 'jumping genes,' insert themselves into bacterial chromosome ends, potentially transforming genetic engineering and advancing biotechnology. This breakthrough could reshape antibiotic research and unlock new drug discoveries.
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Obesity care gets personalised: tailoring therapies with Phenomix
Find out how Phenomix Sciences is transforming obesity treatment by identifying patient subtypes for more targeted and effective therapies.
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New predictive model identifies synergistic drug pairings
Researchers at Mount Sinai have created a computational tool that predicts effective drug combinations, providing a faster and more cost-efficient method for identifying potential treatments for complex diseases like cancer.
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Large language models: now more affordable and reliable than ever
In this article, Dr Raminderpal Singh explores the transformative impact of the Deepseek R1 open-source large language model on drug discovery. Its potential offers exciting opportunities for both scientists and software developers, marking a significant advancement for the life sciences community.
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AI identifies life-saving treatment for rare Castleman’s disease
An AI tool has identified adalimumab, a drug used for arthritis and Crohn’s disease, as a life-saving treatment for rare Castleman’s disease (iMCD). This finding offers hope for patients with the condition.
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New study links type 2 diabetes to accelerated cognitive decline
Study reveals how type 2 diabetes accelerates cognitive decline by damaging white matter in the brain. Sam Hashemi at Prenuvo explains how advanced AI and whole-body MRI technology are opening new possibilities for early intervention.
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AI designs peptides for ‘undruggable’ diseases
A new AI-powered approach is tackling the challenge of 'undruggable' diseases by designing peptides that can bind to and destroy previously untreatable proteins.
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New study shows CGM data can predict diabetes complications
UVA researchers found that continuous glucose monitor data can predict nerve, eye, and kidney damage in type 1 diabetes.
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Scientific workflow for hypothesis testing in drug discovery: Part 2 of 3
In part two of the step-by-step scientific workflow for drug discovery series, Dr Raminderpal Singh and Nina Truter describe the functions of the workflow previously outlined and include key considerations.
