“In terms of drug development, the results can enable clinical trials with a significantly shorter duration and fewer participants, ultimately accelerating the development of new therapies.
Some medical studies have shown that respiratory symptoms manifest years before motor symptoms, meaning that breathing attributes could be promising for risk assessment prior to Parkinson’s diagnosis.” This motivated us to consider the potential of detecting the disease from one’s breathing without looking at movements. Katabi said: “A relationship between Parkinson’s and breathing was noted as early as 1817, in the work of Dr. The breathing signal is then fed to the neural network to assess Parkinson’s in a passive manner, and there is zero effort needed from the patient and caregiver. To do so, the team developed a device with the appearance of a home Wi-Fi router, but instead of providing internet access, the device emits radio signals, analyzes their reflections off the surrounding environment, and extracts the subject’s breathing patterns without any bodily contact. The MIT researchers demonstrated that the AI assessment of Parkinson’s can be done every night at home while the person is asleep and without touching their body. Over the years, researchers have investigated the potential of detecting Parkinson’s using cerebrospinal fluid and neuroimaging, but such methods are invasive, costly and require access to specialized medical centers. They are joined by Yuan and 12 colleagues from Rutgers University, the University of Rochester Medical Center, the Mayo Clinic, Massachusetts General Hospital, and the Boston University College of Health and Rehabilitation. Katabi, who is also an affiliate of the MIT Computer Science and Artificial Intelligence Laboratory and director of the Center for Wireless Networks and Mobile Computing, is the senior author. Yang is first author on a new paper describing the work, published in Nature Medicine. The neural network, which was trained by MIT PhD student Yuzhe Yang and postdoc Yuan Yuan, is also able to discern the severity of someone’s Parkinson’s disease and track the progression of their disease over time.
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The tool in question is a neural network, a series of connected algorithms that mimic the way a human brain works, capable of assessing whether someone has Parkinson’s from their nocturnal breathing - i.e., breathing patterns that occur while sleeping.
It was co-founded in 2018 by MIT and Community Jameel, an independent, global organization advancing science to help communities thrive in a rapidly changing world. The Jameel Clinic is the epicenter of AI and healthcare at MIT. The research is led by Professor Dina Katabi, the Thuan (1990) and Nicole Pham Professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology and principal investigator at the MIT Jameel Clinic, and her team. Parkinson’s disease is notoriously difficult to diagnose as it relies primarily on the appearance of motor symptoms such as tremors, stiffness, and slowness, but these symptoms often appear several years after the disease onset. Researchers at the MIT Jameel Clinic have developed an artificial intelligence model that can detect Parkinson’s just from reading a person’s breathing patterns. We are pleased to partner with Google to undergo testing that will support us with doing this.”
Volkswagen recognizes that customers build a close affinity with brands that truly speak to their needs through content that resonates with them.Īnja Petrovski, marketing director of Volkswagen Middle East, said: “Volkswagen is a people’s brand, and it is important to us that we highlight the brand attributes to our regional customers through the right content that appeals to their needs. Through the campaign, the brand plans to highlight all of its key attributes, including technological features, comfort, design and safety. The campaign will highlight how models in Volkswagen’s lineup exemplify each attribute the German manufacturer is best known for through strategically placed content. It will also help gain valuable audience insights, enhancing the brand’s overall marketing strategy. Volkswagen has launched its Brand Attributes Campaign, which will use Google testing to test if biases still exist and to see which assets resonate best with a certain audience.