All Machine Learning (ML) articles – Page 3
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ArticleProtein folding interference: a new path to hard-to-drug targets
Protein folding interference offers access to targets long considered unreachable by traditional drug discovery. By acting on transient folding intermediates, this approach presents a new opportunity to eliminate disease-driving proteins.
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NewsLife sciences face ‘scientific content crisis’ in AI adoption
A new survey by the Pistoia Alliance reveals a growing ‘scientific content crisis’ in life sciences, showing that incomplete data and weak governance are limiting the accuracy and adoption of AI in research and development.
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NewsBits2Bonds: AI system accelerates discovery of RNA delivery polymers
Researchers at LMU Munich have developed Bits2Bonds, the first platform to fuse molecular simulations with machine learning – accelerating the discovery of polymer carriers for therapeutic RNA.
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NewsAI powers discovery of new CBLB inhibitor ISM3830
Insilico Medicine has announced ISM3830, an AI-designed CBLB inhibitor that has demonstrated promising preclinical results.
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OpinionMaking science run at the speed of thought: the reality of AI in drug discovery – Part 2
Can automation and AI finally make science run at the speed of thought? Eric Ma shares how disciplined systems, not new models, will drive the next wave of discovery.
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ArticleFast, scalable free energy prediction with nonequilibrium switching
Nonequilibrium switching (NES) offers a faster, more scalable way to predict how strongly drugs bind to their targets. By replacing slow equilibrium simulations with rapid, parallel transitions, NES delivers accurate free energy predictions at speed.
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ArticleAI and policy reform set to reshape UK drug development
BCG’s Chris Meier outlines how advances in AI and new UK policies could accelerate drug development, streamline clinical trials and strengthen the country’s life sciences sector.
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ArticleMaking science run at the speed of thought: the reality of AI in drug discovery – Part 1
Everyone talks about AI speeding up drug discovery, but Eric Ma explains why, without clean data and statistical discipline, it can actually do the opposite.
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ArticleDeep data not big data
Bigger isn’t always better. In drug discovery, Dr Michael Ritchie argues that the future belongs not to those with the most data, but to those who understand its biological depth.
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ArticleAI and the future of biomarker analysis in early R&D
AI is transforming biomarker analysis in early drug discovery, revealing hidden biological patterns that improve target discovery, patient selection and trial design for more precise and predictive R&D.
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NewsNew framework enhances reliability of virtual cell models
Shift Bioscience have announced new research revealing that AI-driven virtual cell models perform far better than previously thought when assessed with correctly calibrated metrics.
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NewsScientists use AI to create antibodies entirely from scratch
Scientists at the University of Washington’s Institute for Protein Design have used artificial intelligence to create antibodies entirely from scratch, a breakthrough that could reshape drug discovery.
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ArticleInside ELRIG Drug Discovery 2025: automation, AI and human-relevant models
At ELRIG’s Drug Discovery 2025, Drug Target Review spoke with the teams turning big ideas into usable tools – automation, AI and biology – that help scientists work smarter.
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NewsHow AI and cell data combine to make drug discovery faster
Cellarity has published a new paper in detailing an AI-powered framework that integrates single-cell transcriptomics to make drug discovery faster and more successful.
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ArticleFrom wild fungi to faster drug discovery
Nature’s pharmacy has yielded half of today’s medicines, yet most of its potential remains untapped. AI is now changing how quickly new therapies can be found.
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ArticleHow real-world data is accelerating drug discovery
Vish Srivastava considers the benefits of expanding the role of real-world data in drug discovery to provide improved therapies, faster and with greater success.
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ArticleChemistry-aware AI offers new routes in small molecule design
AI has advanced molecule design, yet synthetic feasibility remains a bottleneck. Chemistry-first approaches offer a practical way forward.
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NewsScientists track amyloid plaques in living mice for first time
A new fibre-optic method lets researchers monitor amyloid plaque buildup in living, freely moving mice – offering a minimally invasive way to track Alzheimer’s disease progression and test potential therapies.
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ArticleBeyond templates: advancing protein–protein interaction structure prediction with AI
Dr Alan Nafiiev evaluates template-based, docking and template-free approaches to PPI prediction, highlighting how AI can enhance structural accuracy.
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ArticleFrom data to therapy: emerging tech driving cancer drug discovery
Multiomics, AI and liquid biopsies are giving researchers real-time insight into tumour biology and enabling more personalised cancer therapies. Find out how these technologies are advancing biomarker discovery, improving patient stratification, and guiding the design of new treatments.