All Artificial Intelligence & Machine Learning articles
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NewsCell by cell: New machine-learning-based method reveals what can make bacteria dangerous
A new method detects fluorescently labelled bacteria inside human cells and uses machine learning to analyse microscopy images. This allows researchers to measure, in the same experimental system, how efficiently bacteria enter cells, how strongly they accumulate inside them, and what kind of DNA damage they induce.
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NewsGroundbreaking research to sequence Antarctic genomes from microbes to whales
A molecular microbial ecologist and biological oceanographer has been awarded $18.4 million to lead a project that will pave the way for the next generation of Antarctic research. This research infrastructure will enable researchers to understand how Antarctic life has evolved and adapted to extreme conditions, while also seeding innovation.
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NewsResearchers develop AI tool that reveals hidden clues in the gut microbiome
Researchers are using artificial intelligence to uncover hidden clues among the trillions of bacteria living in the human gut, including changes that could one day help scientists detect diseases earlier.
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News€8 million Horizon Europe grant to launch next-generation initiative to detect, assess and respond to pandemics
Led by the University of Oxford in partnership with the WHO and an international consortium the three-year PANDAI project will develop and deploy advanced AI models to transform the detection, assessment, prediction and response to global disease threats.
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NewsCan AI find drugs to fight infection?
Researchers have used artificial intelligence (AI) to identify approved drugs that may be effective against Streptococcus pneumoniae. Using a dataset of molecules shown to be active against S. pneumoniae and a larger dataset of molecules inactive against another drug-resistant bacterium, the scientists trained three different learning algorithms.
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NewsPlant health: New joint factsheet outlines synergy between Horizon Europe projects FORSAID, CERBERUS and STELLA
One of the biggest threats to Europe’s forests and farms is the spread of biotic stressors, capable of reversing decades of cultivation and conservation. As part of its efforts to address this challenge, the EU has mobilised three sister projects - FORSAID, CERBERUS and STELLA.
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NewsCurious by Nature: Professor Romain Glèlè Kakaï – Can we predict the next epidemic?
Professor Romain Glèlè Kakaï believes combining traditional mathematical models with artificial intelligence will improve the accuracy of epidemic forecasting and help public health leaders respond more quickly to future cholera and malaria outbreaks.
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NewsNew artificial intelligence method to support real-time management of infectious diseases
Scientists used a deep learning artificial intelligence method known as neural posterior estimation (NPE) to study how pathogens evolve, the first time this method has been used with genetic data in a phylodynamic application.
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NewsMeet the Global Ambassadors: our Q&A with Luay Abu-Qatouseh
The Microbiologist gets to know our Global Ambassador for Jordan, Associate Prof. Dr. Luay Abu-Qatouseh of the Faculty of Pharmacy and Medical Sciences, University of Petra.
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NewsWhy immune responses to vaccines vary from person to person
A new study finds that past immune encounters may predict future vaccine response.
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NewsCould beneficial bacteria help prevent the body from absorbing lead?
New funding supports early-stage research at Worcester Polytechnic Institute that aims to show how pieces of genetic code produced in the gut by healthy bacteria could block lead exposure.
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NewsNovel AI model accurately detects key gene mutations and predicts biomarkers across 32 cancer types
Researchers have developed a novel AI model capable of predicting cancer subtypes, specific genetic mutations, and survival outcomes across 32 different cancers.
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NewsPlant pathologist selected as Fulbright Distinguished Scholar
Heather Kelly, field crops pathologist in the University of Tennessee Department of Entomology and Plant Pathology, has received a prestigious Fulbright Distinguished Scholar Award for two one-month trips to Brazil in 2026 and 2027.
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NewsResearchers look at ‘genetic neighborhoods’ to find pathogenic bacteria
Researchers used a machine-learning approach to study not just which genes a bacterium has, but also where those genes sit next to each other, helping to distinguish disease-causing strains of a poultry pathogen from nonpathogenic strains.
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NewsNew AI-driven technology could help combat harmful algal blooms
Researchers are developing an innovative technology that could help stop harmful algal blooms before they spread.
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NewsNew platform speeds bacterial gene mapping for better biotech design
A new platform pinpoints genetic triggers that turn microbes into efficient factories for new chemicals and materials.
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NewsMachine learning turns routine water quality data into early warnings for pathogen health risks
Researchers have developed a data-driven framework that uses routinely measured water quality indicators to predict pathogen concentrations and estimate their potential health risks.
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NewsTuberculosis drug discovery gets smarter with AI
Scientists have built an artificial intelligence tool to help scientists focus their efforts after initial screening of potential tuberculosis drugs. The team is also using AI to organize years of collaborative data into a searchable form.
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NewsBloomNet turns lake data into early algal bloom warnings
A research team has developed BloomNet, an interpretable deep-learning framework that forecasts harmful algal blooms at hourly resolution up to 72 hours ahead while also showing how risk changes over time.
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NewsAI and robotics accelerate search for better gut microbiome therapies
Biomedical engineers have demonstrated a method for systematically developing novel, complex combinations of probiotics and prebiotics to more effectively maintain gut health and treat various gastrointestinal diseases.