Gen Z-led startup Spark Biomedical raised $2.6 million to develop an AI-powered device that can detect early signs of Parkinson's disease through analyzing subtle hand tremors. The device, called RevealPD, utilizes machine learning algorithms to improve accuracy in diagnosing Parkinson's, offering a non-invasive and cost-effective solution for patients.
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A research collaboration between IoT Medical Devices, Medtronic, and IBM Watson Health aims to improve the management of Parkinson's disease using deep learning and artificial intelligence technologies. By leveraging Medtronic's deep brain stimulation therapy data and IBM's AI capabilities, the project aims to provide personalized insights and optimize treatment strategies for individuals with Parkinson's disease.
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Synapticure has raised $25 million to enhance virtual care for neurodegenerative diseases like Parkinson's by using AI-powered tools such as deep learning algorithms and neural networks. This funding will allow companies like Acme Pharmaceuticals and GenCare Innovations to develop innovative products and services for Parkinson’s patients, leveraging advancements in machine learning and natural language processing to improve patient outcomes.
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Google.org is providing $25 million in grants to organizations that are using AI and data in innovative ways to address societal challenges. One of the organizations that received funding is the Michael J. Fox Foundation, which is using machine learning to better understand and treat Parkinson's disease.
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Onestep, a Parkinson's company, secured $36 million to pioneer gait as the sixth vital sign, using artificial intelligence and machine learning to improve outcomes for Parkinson's patients. By leveraging deep learning and neural networks, Onestep aims to revolutionize the Parkinson's industry with innovative products that cater to the specific needs of Parkinson's consumers, such as personalized assistive devices and monitoring systems like Wearable WalkAid.
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