All Artificial Intelligence & Machine Learning articles – Page 2
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Researchers discover new Candida auris – a possible global public health threat
Researchers have discovered a new clade (or type) of Candida auris, bringing the number of clades known globally to a total of six.
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Researchers receive 9.5 million grant to study relationship between polyphenol intake, Alzheimer’s and the brain-gut-microbiome system
UCLA Health researchers, in collaboration with researchers from the Republic of Ireland and Northern Ireland, have received a $9.5 million award to study the effects of polyphenols on cognitive health and the brain-gut microbiome system.
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Researchers discover source of deadly fungal infections in bone marrow transplant patients
Scientists have found that heteroresistance is the reason a small number of transplant patients developed bloodstream infections, despite receiving prophylaxis with the antifungal drug micafungin.
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AI opens door to safe, effective new antibiotics to combat resistant bacteria
A large language model—an AI tool like the one that powers ChatGPT—has been used to engineer a version of a bacteria-killing drug that was previously toxic in humans.
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White paper explores innovative approaches to vaccine trials and pandemic preparedness
An international consortium of experts has created a white paper on innovative approaches for clinical vaccine research in order to be better prepared for future pandemics.
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Scientists ID bacterial genes that yield iridescent colors
Scientists sequenced the DNA of 87 structurally colored bacteria and 30 colorless strains and identified genes that are responsible for iridescent bacterial colonies.
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AI able to identify drug-resistant typhoid-like infection from microscopy images in matter of hours
Artificial intelligence (AI) could be used to identify drug resistant infections, significantly reducing the time taken for a correct diagnosis, researchers have shown. An algorithm can be trained to identify drug-resistant bacteria correctly from microscopy images alone.
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Experts identify hazards of AI research for engineering biology
Hazards posed by using data-centric methods to engineer biology have been identified by experts with the aim of making future research safer.
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WHO updates laboratory biosecurity guidance
WHO recently issued updated guidance for national authorities and biomedical laboratories to manage biological risks, including strengthening of cybersecurity measures and reducing risks from new technologies.
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AI helps mine genetic elements from ancient genomes to tackle antibiotic resistance
Scientists have developed an artificial intelligence tool to mine the vast and largely unexplored biological data—more than 10 million molecules of both modern and extinct organisms— to discover new candidates for antibiotics.
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Researchers develop novel AI algorithm for analyzing microfossils
Microfossil analysis allows us to map the subsurface and understand past geological times. In research labs all over the world geologists spend countless hours looking through the microscope identifying and counting microfossils extracted from sedimentary rock below the seabed. Source: ZooFari Photo of an unidentified 10 million year ...
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Mesocosms allow scientists to study the biodiversity of aquatic organisms
With a new facility funded by the Gips-Schüle Foundation, researchers at the University of Konstanz’s Limnological Institute can now study the development of biodiversity of bodies of water, such as Lake Constance.
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AI enables faster, more effective antibiotic treatment of sepsis
Sepsis is a life-threatening infection complication and accounts for 1.7 million hospitalizations and 350,000 deaths annually in the U.S. Fast and accurate diagnosis is critical, as mortality risk increases up to 8% every hour without effective treatment. Source: Ilanaer42 However, the current diagnostic standard is reliant on ...
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Water-soluble version of bacterial enzyme may help researchers develop new antibiotics
Researchers created a water-soluble version of an important bacterial enzyme, which can now be used in drug screens to identify new antibiotics.
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Largest-ever antibiotic discovery effort uses AI to uncover potential cures in microbial dark matter
Researchers used machine learning to search for antibiotics in a vast dataset containing the recorded genomes of tens of thousands of bacteria and other primitive organisms, yielding nearly one million potential antibiotic compounds.
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AI reveals critical gaps in global Antimicrobial Resistance research
Researchers developed global maps showcasing regional, methodological, and sectoral AMR research activities, confirming a lack of interdisciplinary collaboration, particularly in low-income countries, where the burden of increasing AMR is most acute.
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Engineers develop innovative microbiome analysis software tools
Since the first microbial genome was sequenced in 1995, scientists have reconstructed the genomic makeup of hundreds of thousands of microorganisms and have even devised methods to take a census of bacterial communities on the skin, in the gut, or in soil, water and elsewhere based on bulk samples, leading ...
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Researchers produce guidelines to tackle science’s ‘AI problem’
With growing evidence revealing deep flaws in how machine learning is used in science, an interdisciplinary team of 19 researchers has published guidelines for the responsible use of AI in science.
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ChatGPT failed when challenging ESCMID guideline for treating brain abscesses
A new study has found that while ChatGPT seems able to give recommendations on key questions about diagnosis and treatment of brain abscesses in most cases, some of the AI model’s responses could put patients at risk.
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Bioinformatics professor discovers surprising evolutionary pattern in landmark yeast study
A new study challenges accepted frameworks within which yeast evolution is studied and provide access to an incredibly rich yeast analysis dataset that could have major implications for future evolutionary biology and bioinformatics research.