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Machine learning

The latest design determines medications that are unsafe to combine.

A novel approach developed by researchers at MIT, Brigham and Women’s Hospital, and Duke University helps identify the transporters used by various drugs to pass through the digestive tract, thus enhancing patient treatment. The method uses both tissue models and machine-learning algorithms. This can play an instrumental role in mitigating possible drug interference that occurs…

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This small, secure identification marker can validate nearly everything.

Researchers at MIT have developed a new ID tag that leverages terahertz waves to offer a superior level of security compared to the traditional radio frequency tags (RFIDs), and at a significantly cheaper cost. This breakthrough was achieved by incorporating microscopic metal particles into the adhesive that binds the tag to a product. The terahertz…

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The new version determines medications that should not be combined.

Researchers from MIT, Brigham and Women’s Hospital, and Duke University have developed a system that identifies the transporters used by different drugs to exit the digestive tract. This can help improve drug treatment as it shows which medications could potentially interfere with one another. It also enables drug developers to increase drug absorbability by creating…

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Newton-based Neural Operator: A Fresh Machine Learning Method for Calculating Several Answers to Nonlinear Partial Differential Equations

A team of researchers from Pennsylvania State University, USA, and King Abdullah University of Science and Technology, Saudi Arabia, have proposed a novel method for resolving nonlinear partial differential equations (PDEs) with multiple solutions. Their method, called the Newton Informed Neural Operator (NINO), utilises neural network techniques and is based on operator learning. This approach…

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