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The latest design determines medications that are unsafe to combine.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 31, 202465Views0Likes0Comments
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.

Artificial Intelligence, Computer chips, Computer science and technology, Electrical Engineering & Computer Science (eecs), Electronics, Internet of things, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, School of Engineering, Sensors, Supply chains, UncategorizedMay 31, 202475Views0Likes0Comments
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.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 31, 202467Views0Likes0Comments
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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The new system detects medications that are unsafe to combine.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 30, 202468Views0Likes0Comments
A team of researchers at MIT, Brigham and Women’s Hospital, and Duke University have developed a method to identify the transport proteins that specific drugs use to leave the digestive tract. This is particularly important because drugs that use the same transport protein can interfere with each other's function. Understand the workings of these transporters could…

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This small, secure identification label can verify nearly anything.

Artificial Intelligence, Computer chips, Computer science and technology, Electrical Engineering & Computer Science (eecs), Electronics, Internet of things, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, School of Engineering, Sensors, Supply chains, UncategorizedMay 30, 202472Views0Likes0Comments
MIT researchers have created a microscopic, low-cost cryptographic ID tag, designed to protect products from counterfeiting by providing improved security compared to traditional radio frequency tags (RFIDs). The technology, developed using terahertz waves, can offer a highly secure, low-cost, and easy-to-implement solution in preventing tampering and ensuring product authenticity. RFID tags typically use radio waves to…

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The recent model recognizes medications that are not advisable to be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 30, 202458Views0Likes0Comments
Researchers from the Massachusetts Institute of Technology (MIT), Brigham and Women’s Hospital, and Duke University have used tissue models and machine-learning algorithms to identify how specific drugs pass through the digestive tract. The knowledge can help improve patient treatments, as certain drugs could interfere with each other if they depend on the same protein transporters.…

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A new method is able to determine which medications should not be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 30, 202459Views0Likes0Comments
Researchers from the Massachusetts Institute of Technology (MIT), Brigham and Women’s Hospital, and Duke University have developed an innovative strategy to identify the transporter proteins used by different drugs in the body’s gastrointestinal (GI) tract. The method, which employs tissue models and machine-learning algorithms, aims to improve drug administration by enabling predictions of drug interactions…

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This small, secure identification label has the ability to verify nearly everything.

Artificial Intelligence, Computer chips, Computer science and technology, Electrical Engineering & Computer Science (eecs), Electronics, Internet of things, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, School of Engineering, Sensors, Supply chains, UncategorizedMay 29, 202473Views0Likes0Comments
Researchers at Massachusetts Institute of Technology (MIT) have developed a small, low-cost cryptographic ID tag that improves the security of product authentication. The new design mitigates a common security issue where counterfeiters could transfer an ID tag from an authentic product to a fake one, deceiving authentication systems. This ID tag uses terahertz waves and…

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This small, secure identification marker holds the capacity to verify nearly everything.

Artificial Intelligence, Computer chips, Computer science and technology, Electrical Engineering & Computer Science (eecs), Electronics, Internet of things, Machine learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Research Laboratory of Electronics, School of Engineering, Sensors, Supply chains, UncategorizedMay 29, 202459Views0Likes0Comments
Researchers from MIT have developed a cryptographic ID tag that's considerably smaller, more secure, and cost-effective than traditional radio frequency tags (RFIDs) regularly used in product authenticity verification. These ID tags use terahertz waves, which are smaller and have higher frequencies than radio waves, thus being more compact and secure. An issue with traditional RFIDs is…

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The new system pinpoints medications that should not be combined.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMay 29, 202467Views0Likes0Comments
A multi-institutional team of researchers from MIT, Brigham and Women’s Hospital, and Duke University have developed a strategy that uses machine learning and tissue models to identify transport proteins that different drugs interact with in the gastrointestinal (GI) tract. When a drug is taken orally, it must pass through the lining of the digestive tract.…

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Searching for a particular activity in a video? This method, powered by artificial intelligence, can locate it for you.

Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Data, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, School of Engineering, Uncategorized, VideoMay 29, 202464Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have introduced an efficient method to train machine-learning models to identify specific actions in videos by making use of the video's automatically generated transcripts. The method, known as spatio-temporal grounding, helps the model intricately understand the video by dissecting it and analysing it through the lens…

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