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AI just made protein design smarter and faster
Meet the AI tool that creates proteins that fold better, bind tighter and perform more reliably. Find out why it matters for next-generation medicines.
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Artificial Intellingence
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New tRNA tech aims to rewrite rare disease treatment
Alltrna is redefining the future of rare disease treatment with engineered tRNA therapeutics that target genetic mutations - not just individual diseases. CEO Michelle Werner shares how this bold, mutation-driven approach could unlock universal treatments for thousands of patients long overlooked by traditional medicine.
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AI targets protein linked to most human cancers
Scientists have used AI to design a molecule that disrupts a key protein interaction driving up to 70 percent of cancers - once thought impossible to drug.
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Next-generation drug design: how generative AI can tackle undruggable targets
Generative AI is broadening the boundaries of what is possible in drug discovery. In this article, Murat Tunaboylu, CEO and Co-founder of Antiverse, reveals how the zeitgeist technology is enabling scientists to tackle previously undruggable targets like GPCRs and ion channels to deliver patient impact faster.
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Strategic planning in ADC development: insights from Lonza
Preclinical and clinical development are critical to the success of ADCs, where early strategic decisions regarding manufacturability and scalability can make or break a project. Iwan Bertholjotti of Lonza emphasises the importance of proactive planning to avoid costly delays and ensure smooth progress towards clinical success.
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What SLAS 2025 really told us about drug discovery
Forget the buzzwords - SLAS 2025 showed what’s genuinely driving progress in drug discovery: usable AI, collaborative platforms and tools that solve real problems.
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Tackling complex manufacturing challenges in modern drug development
Chief Scientific Officer at Solvias reveals how CROs are overcoming manufacturing challenges and harnessing AI to fast-track the development of groundbreaking cell and gene therapies.
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How AI and LLMs are transforming drug discovery: part 2
As AI reshapes scientific work, two founders debate how best to build tools scientists can trust — should we embed expertise into the model or the team? From agent-powered labs to hypothesis-generating machines, the future of drug discovery is being reimagined right now.
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ELRIG’s Drug Discovery 2025 announces event speakers
ELRIG has announced the keynote speakers for Drug Discovery 2025, its flagship life sciences event taking place in Liverpool, England this October.
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AI at the forefront of age-related disease treatment
The body undergoes changes with age that can lead to conditions like sarcopenia and osteoarthritis, burdening individuals and healthcare systems. Find out how Rejuvenate Biomed uses AI to decode ageing biology and develop combination therapies targeting the root causes of age-related diseases, offering hope for better treatments and quality of…
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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.
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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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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.
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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.
