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Enedra secures funding to advance AI-driven cancer platform
Enedra Therapeutics has secured new funding to advance its AI-driven CASPAROV platform, aimed at developing therapies for difficult-to-treat cancers
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Artificial Intelligence
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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
Eli Lilly backs Creyon’s quantum chemistry platform in $1B RNA drug deal
The partnership allows for the further development of AI-designed RNA-targeted therapies for a range of diseases.
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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.
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.
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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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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.
webinar
AI-powered drug discovery: Accelerating the development of life-saving therapies
11 April 2025 | By Drug Target Review, in association with Benchling
AI in drug discovery is no longer theoretical. It’s already speeding up target identification, improving predictions, and cutting waste. Learn how to apply it in your own discovery pipeline.
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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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The evolution of AI in drug discovery: learning from history’s mistakes (Part 2)
In this second part of a two-part series, we continue Sujeegar Jeevanandam’s exploration of the future of AI in drug discovery. We share his vision for transformative AI applications, such as simulating human pharmacokinetics and pharmacodynamics, and offer strategic recommendations for biotechs looking to adopt AI.
news
First AI-designed drug, Rentosertib, officially named by USAN
Insilico Medicine’s AI-designed drug for idiopathic pulmonary fibrosis (IPF), Rentosertib, has been granted an official name by USAN. This is the first drug where both the target and compound were discovered using generative AI, marking a major milestone in AI-driven drug development.
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The evolution of AI in drug discovery: learning from history’s mistakes (Part 1)
AI is transforming drug discovery, but its adoption mirrors past technological shifts in the industry. In this first part of a two-part series, we reveal Sujeegar Jeevanandam’s observations of the parallels between AI and the electronic lab notebook revolution, highlighting key challenges, lessons learned, and what the future holds for…
