All Computational Techniques articles – Page 4
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ArticleFixing failed drugs: AI solutions for toxicity in drug discovery – part 3
What role could large language models and AI agents play in drug safety? In Part 3, Layla Hosseini-Gerami of Ignota Labs discusses how emerging technologies might make toxicity analysis faster, more accessible and part of the drug discovery workflow from day one.
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NewsNew AI model PROTsi identifies aggressive tumours using protein markers
Researchers in Brazil and Poland have developed an AI-powered tool that predicts cancer aggressiveness by analysing protein expression - offering new insights into tumour behaviour.
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ArticleFixing failed drugs: AI solutions for toxicity in drug discovery – part 2
Why do so many drug candidates fail before reaching patients – and can AI help stop the losses? In Part 2, Layla Hosseini-Gerami of Ignota Labs outlines the scope of the toxicity problem and explains why failures often come too late to fix.
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ArticleFixing failed drugs: AI solutions for toxicity in drug discovery – part 1
Why do so many drug candidates fail before reaching patients – and can AI help stop the losses? In Part 1, Layla Hosseini-Gerami of Ignota Labs outlines the scope of the toxicity problem and explains why failures often come too late to fix.
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ArticleWhat single cells are revealing about brain disorders
Single-cell and spatial technologies are giving researchers an unprecedented view of how brain diseases like Alzheimer’s really work. The result? Faster discovery, clearer targets and a new path towards more effective treatments.
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NewsVirtual cell model rankings just got a major upgrade
Shift Bioscience has published a new study introducing enhanced metrics and baselines for evaluating virtual cell models - boosting gene target discovery and accelerating its rejuvenation therapeutics pipeline.
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ArticleMachine Learning and AI in Enhancing Image Analysis of 3D Samples
Want to understand the real impact of AI in 3D sample analysis? This episode cuts straight to how machine learning is accelerating research and overcoming current limitations.
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ArticleFuture-proofing drug development with GenAI
Using GenAI and expert reasoning, drug developers can now explore an asset’s long-term potential as early as the preclinical stage. This shift is helping to reshape pipeline planning and refine therapeutic strategy.
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NewsProtein folding milestone achieved with quantum tech
Kipu Quantum and IonQ have set a new benchmark in quantum computing by solving the most complex protein folding problem ever tackled on quantum hardware – creating potential for real-world applications in drug discovery.
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ArticleThe AI model that is changing clinical trial design
AI is changing how clinical trials are run - quietly but significantly. Find out how digital twins are helping sponsors reduce control arms and accelerate development without changing trial endpoints.
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NewsBird flu is changing - AI might help us keep up
Researchers at the University of North Carolina at Charlotte have used artificial intelligence to look at how the H5N1 bird flu virus is evolving to evade the immune system - insights that could make way for development of effective future therapies.
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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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ArticleWhy playing it safe is slowing down drug discovery
President Trump’s proposed drug pricing reforms are putting pressure on early-stage discovery. To keep pace, teams must rethink how they manage risk, resources and 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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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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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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ArticleHow 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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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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ArticleThe 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.