All Informatics articles – Page 6
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NewsTurning AI into a biological design engine
DenovAI has unveiled a powerful AI-driven protein design platform capable of creating new, functional synthetic proteins from scratch - marking a big step forward for drug discovery.
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ArticleRethinking antibody discovery in the age of automation
James Atwood, COO of Opentrons, shares how accessible lab automation is helping research teams tackle tighter budgets, faster timelines and complex discovery workflows.
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ArticleThe next phase of the multiomics evolution, powered by AI
Genomics laid the foundation for precision medicine, but on its own, it offers only part of the picture. This article explores how integrated multiomics can provide the deeper biological context needed to drive more effective therapies forwards.
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ArticleSolving the disconnect between lab and data scientists: part 1
Lab scientists and data scientists often speak different languages and that miscommunication can slow down important research. In this interview, Ian Kerman shares how his team is working to break down those walls and spark better collaboration.
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NewsAI 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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ArticleFrom siloed data to breakthroughs: multimodal AI in drug discovery
Drug development has long been hindered by fragmented data and complex processes, but a new wave of AI is reshaping the landscape. By integrating genomic, clinical and molecular data, multimodal models are revealing hidden patterns and accelerating more precise advancements in medicine.
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NewsInside the immune ‘handbook’ set to disrupt fibrosis research
Nearly a billion people are affected by chronic organ scarring, yet treatments remain limited. Now, Duke-NUS researchers have compiled a scientific ‘handbook’ of immune cell insights that could fast-track breakthroughs in fibrosis therapy.
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NewsStatins repurposed for sepsis show life-saving potential
A new study suggests statins, cheap and widely used cholesterol drugs, could be repurposed to reduce the risk of death from sepsis. Researchers reported a 39 percent drop in 28-day mortality, highlighting their potential role in critical care.
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WebinarOptimizing antibody leads in early drug discovery with key developability insights
Stop costly biologic failures. This masterclass reveals high-throughput strategies to optimize antibody leads upfront.
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ArticleNext-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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ArticleWhat 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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ArticleHow 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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ArticleAI 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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NewsK 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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ArticleUsing 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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ArticleUsing 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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NewsAI 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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NewsThe Pistoia Alliance: key findings on AI
Results from Pistoia Alliance’s Lab of the Future survey has shared important findings about the challenges life science companies face.
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WebinarOvercoming critical challenges in AI-driven drug discovery
The increasing use of AI in the life science field marks a pivotal point in history. Although AI is now an indispensable tool in drug discovery, promising to save vast amounts of time and money, there are still many hurdles scientists encounter. This webinar will explore these challenges and offer ...
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ArticlePart three: pragmatic guidelines to getting the best out of LLMs
There have been a slew of announcements over the past few months from AI-led biotechs around the potential of Large Language Models (LLM) in early drug discovery. In the third of a three-part series, Dr Raminderpal Singh presents some pragmatic guidelines for scientists in accessing and obtaining value from LLMs.