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Two microscope images of sodium sulfate.
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Determining Chemical Composition From Simple Photos of Salt Stains

New research has used the patterns formed by a dried salt solution to train a machine learning algorithm to identify the chemical composition of different salts.
AI written on a computer chip.
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Simplified Models of Living Neurons Could Hold Back AI Development

The new model proposes that biological neurons have more control over their surroundings than previously thought, something that could be replicated in the artificial neural networks used in machine learning.
A cartoon of an intestine with bacteria and a female scientist.
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Gut Microbiome “Digital Twin” Simulates Personalized Responses to Diet

Short-chain fatty acids (SCFAs) are beneficial molecules created by the bacteria residing in our gut that are closely tied to improved host metabolism, lower systemic inflammation, better cardiovascular health, lower cancer risk, and more.
Cells.
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Cells Discovered To Move Through the Body Like “Trains On a Track”

A new approach by researchers involving the Institute of Science and Technology Austria (ISTA) now shows how cells navigate through complex environments and how they interact with each other.
AI written on a computer chip.
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AI Can Design Personalized Cancer Treatments To Help Prevent Relapse, Study Finds

University of Oxford researchers have leveraged the power of artificial intelligence (AI) to develop personalised cancer treatments which could be more effective at preventing patient relapse.
An arial view of fields.
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New AI Software Can Predict Crop Growth From One Image

A newly developed software can simulate the growth of field crops based on a single image, supporting farmers in decision making.
A map showing where a hurricane will hit.
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New MIT Climate Model Uses Machine Learning To Make Better Local Predictions

A new climate model can predict the effects of climate change at smaller scales, such as the size of a city.
Cancer cells.
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AI Spots Cancer Months Before Standard Methods

An artificial intelligence-powered method for detecting tumor DNA in blood has shown unprecedented sensitivity in predicting cancer recurrence, in a study led by researchers at Weill Cornell Medicine.
Drugs of different colors, shapes and sizes in half-filled blister packs.
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Blood Clot-Targeting Drug Candidates Developed Through Computer-Aided Design

A team of researchers has created a new series of drug candidates against a hard-to-target receptor involved in the formation of blood clots.
A clinician looks at a chest X ray.
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“Self-Taught” AI Helps Diagnose and Predict Lung Cancer Severity

A computer program based on data from nearly a half-million tissue images and powered by artificial intelligence can accurately diagnose cases of adenocarcinoma.
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