All Artificial Intelligence & Machine Learning articles
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NewsAI uncovers hidden rules of some of nature’s toughest protein bonds
Scientists have shown how artificial intelligence can reveal the hidden rules of one of biology’s strangest phenomena: catch-bonds – molecular interactions that get stronger when pulled. Their findings shed light on how bacteria cling to surfaces, how tissues resist tearing, and how new biomaterials might be designed to harness force.
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NewsResearchers reveal infection risks oral mucositis poses to stem cell transplant patients, introduce a superior AI tool to predict them
Researchers have completed a series of studies that reveal how much painful mouth sores known as oral mucositis increase infection risks in stem cell transplant patients and how artificial intelligence can be used to more accurately predict those risks.
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NewsResearcher developing electronic nose to detect foodborne illness
A researcher is working on developing an electronic nose (e-nose) to detect abnormalities from their version of the sniff test. The method would revolutionize food safety by relying on what the e-nose can detect rather than only the appearance of the food.
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NewsNew AI tool reveals how drugs kill tuberculosis
A new study offers a powerful AI-assisted method for uncovering exactly how TB drugs kill the bacteria, opening the door to smarter treatment combinations that could work faster.
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NewsResearchers use generative AI to design compounds that can kill drug-resistant bacteria
With help from artificial intelligence, researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA).
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NewsAI uncovers new antibiotics in ancient microbes
Researchers used artificial intelligence to identify previously unknown compounds in Archaea that could fuel the development of next-generation antibiotics.
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NewsInvestigating regional-specific gut microbial distribution: an uncharted territory in disease therapeutics
A new perspective highlights the critical role of region-specific gut microbial distribution across intestinal segments (e.g., duodenum, colon) in regulating host metabolism and immunity, challenging traditional fecal-centric approaches.
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NewsM42 announces breakthrough results for its AI-powered tuberculosis screening
A new study is among the largest real-world clinical validations of an AI-driven healthcare solution to date, analyzing over one million chest X-rays (CXRs) to evaluate the efficacy and scalability of AI in TB screening.
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NewsUnlocking the hidden patterns of the gut microbiome with association rule mining
A new study introduces Association Rule Mining (ARM) as a powerful tool to uncover higher-order microbial interactions. The data mining technique allows researchers to identify frequent microbial patterns and their potential health implications.
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NewsNew imaging approach transforms study of bacterial biofilms
Scientists have reimagined the capabilities of atomic force microscopy, transforming it into a tool that captures large-scale biological architecture. This advance offers an unprecedented view of biofilm organization.
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NewsA non-invasive test enables accurate detection of infant meningitis
A high-resolution ultrasound device has shown great accuracy in detecting suspected meningitis in newborns and infants, potentially offering a non-invasive alternative to lumbar puncture, the traditional diagnostic method.
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NewsNew study finds distinct city-specific gut microbiota linked to diet
A new study shows that the human gut microbiota can pinpoint whether an adult lives in Wuhan or Shiyan, two cities 500 km apart in China’s Hubei Province, with 94 % accuracy. This microbial signature is strongly linked to each city’s characteristic diet.
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NewsAI poised to revolutionize Lyme disease testing and treatment
Researchers unveiled a blood test developed with the help of artificial intelligence (AI) that identifies Lyme disease sooner and more accurately than the current standard — and that could translate to vastly improved patient outcomes.
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FeaturesHow robotics and AI are shaping the future of bioprocess R&D
A technological shift is transforming the biomanufacturing landscape. Robotics and AI are no longer futuristic concepts, they are reshaping microbiology labs, enabling scientists to tackle once-intractable problems and accelerate innovation.
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NewsGut microbiome may predict “invisible” chronic fatigue syndrome and long COVID
Millions suffering from myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) may be closer to personalized care, according to new research that shows how the disease disrupts interactions between the microbiome, immune system, and metabolism.
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NewsHow plants are learning to spot sneaky bacterial invaders
Scientists used artificial intelligence to help plants recognize a wider range of bacterial threats — which may lead to new ways to protect crops like tomatoes and potatoes from devastating diseases.
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NewsNew AI tool accelerates mRNA-based treatments for viruses, cancers, genetic disorders
A new artificial intelligence model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various cell types.
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NewsUnderground Atlas: First global map of fungal biodiversity reveals 90% conservation gap
The Underground Atlas is the first digital map predicting Earth’s underground mycorrhizal fungal biodiversity. The work analyzed 2.8 billion DNA sequences from 130 countries revealing that over 90% of mycorrhizal biodiversity hotspots lie outside protected areas.
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NewsThe Holobiont Revolution: How wheat is becoming more climate-resilient
A new breeding concept, specifically for wheat, could help reduce nitrogen fertilization. This holobiont principle places the complex interactions between plants and soil microbiomes at the center of plant breeding.
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NewsHow AI can enhance early detection of emerging viruses: study
Coupling wastewater surveillance and a newly developed AI algorithm can help public health organizations more quickly predict potential outbreaks, a new study suggests.