All AI & in silico microbiology articles
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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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NewsBiochar as an “electron bridge” unlocks hidden power of energy‑saving wastewater treatment
New research reveals how a charcoal‑like material triples electron transfer capacity in ammonia‑removing microbes, cutting wastewater treatment costs by up to 90%.
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NewsModeling social inequality in epidemics
New study introduces a metric into disease-transmission models which quantifies the degree to which social determinants of health — like neighborhood, access to healthcare, or economic status — cause outbreaks.
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NewsDoctoral student aims to detect insect-borne viruses sooner
A biomedical engineering doctoral student at the University of Nebraska is developing generative foundation models to forecast the emergence of arboviruses before they spill over into humans.
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CareersThe APPG on D&I in STEM: a recap of the evidence session on AI & gendered harms
In 2026, the All-Party Parliamentary Group (APPG) on Diversity & Inclusion in Science, Technology, Engineering, and Maths (STEM) launched a new project exploring Artificial Intelligence Equity in STEM.
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FeaturesCan we make a vaccine against the next Disease X in 100 days?
The COVID-19 pandemic was one of the deadliest events in modern history. Estimated to have killed over 25 million people worldwide and caused trillions of dollars in economic damage, the devastation caused by this virus was both astronomical and unforgettable.
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CareersSpore.Bio: why now is finally the time for fast, AI-powered microbial detection
For decades, microbial detection and quantification have been a persistent bottleneck across industries. Today, the landscape is shifting.
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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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OpinionClean data, clear insights: making AI work for microbiology
We are currently living through a period of AI boom. But as the AI fatigue starts settling in, should microbiologists be racing to embed AI into every pipeline?
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FeaturesFrom barnyard to bench: what sequencing reveals about microbial life across the farm-scape
We understand the water cycle and the flow of nutrients in ecological systems, but might microbial life also follow a cyclical, interconnected pattern, and how does that look with regards to food production?
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FeaturesHow artificial intelligence and machine learning are transforming agriculture’s future
Agriculture is at a pivotal moment in history, and the sector needs to adopt new ideas to survive and flourish. AI and Machine Learning are no longer futuristic concepts; they are transforming farming today and helping to solve problems that have persisted for a long time.
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NewsWith AI, researchers find increasing immune evasion in H5N1
A new analysis suggests that the H5N1 avian influenza virus is evolving clever strategies. Using artificial intelligence tools, researchers analyzed thousands of viral proteins and found that their bonds to protective antibodies have weakened over time.
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NewsAlign announces new collaboration with ATCC to bring AI-ready microbial datasets to life
The Align Foundation has announced a collaboration with ATCC to create the world’s largest public, AI-ready microbial phenotyping dataset.
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NewsMachine learning method helps bring diagnostic testing out of the lab
A new point-of-care biosensing method, dubbed LOCA-PRAM, improves the accessibility of biomarker detection by eliminating the need for technical experts to perform the image analysis.
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NewsStudy validates DenovAI’s platform for programmable de novo-designed protein therapeutics
Researchers introduce a new class of experimentally validated AI-driven protein design tools that have the potential to accelerate drug development.
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NewsScientists team up to identify infectious diseases using AI and hyperspectral imaging
A collaboration will expand patented technology to detect viral signatures in animals. ESS Protect – Animal will offer rapid, non-invasive, and contactless screening for bovine respiratory disease (BRD) using hyperspectral imaging and advanced machine learning.
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NewsAI could accelerate protein engineering – key for developing new medicines
An AI approach developed by researchers from the University of Sheffield and AstraZeneca could make it easier to design proteins needed for new treatments.
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NewsBroad-spectrum coronavirus drug developed through AI-enabled dynamic modeling
Multidisciplinary AI- and physics-driven modeling of the viral fusion process enables discovery of an orally available drug inhibiting infection with multiple coronaviruses.
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NewsInstant AI-assisted test for viral infection
A non-DNA based test could identify viral infections in patients in minutes. Scientists designed a test that confirms the presence of live virus by pushing particles through a nanopore, one at a time, and measuring their electrical conductivity, which varies with size and surface charge as well as the unique molecular structure of the virus.
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NewsNew AI reimagines infectious disease forecasting
A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods. The tool could revolutionize how public health officials predict, track and manage outbreaks of infectious diseases including flu and COVID-19.