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408 search results found
  • Past Deadline: Mar 14, 2019

    Global Automotive Leader seeks AI and 3D Printing Startups

    meeting

    A $17B/year global leader in automotive technologies, Faurecia is anticipating all the challenges of a changing industry. With the help of strategic partnerships with companies, start-ups and academia within an open innovation ecosystem, Faurecia technologies address two key aspects of mobility: the Cockpit of the Future for a safer, more comfortable, and more intuitive experience in the cockpit of the future, and Sustainable Mobility for cleaner and more environmentally-friendly transportation around the world. Owns more than 300 assembly lines in the US.

  • Evaluating computing performance
    January 6, 2020 | MIT News Office

    Tool predicts how fast code will run on a chip

  • MIT News ClosedLoop
    June 19, 2020 | MIT News Office

    Bringing the predictive power of artificial intelligence to health care

  • Secure AI Labs

    June 2, 2020 | Startup Exchange Video | Duration: 17:54

    Anne Kim
    Cofounder & CEO

    Ryan Davis
    Cofounder

    Secure AI Labs

  • Themis AI

    Cambridge, MA
    Software
    Themis AI's mission is to empower the world to create, advance, and deploy trustworthy AI.
    Keywords:
    Fair AI, Fair ML, Fair Tech
    ThemisAI logo color
  • AI Driven Bloodless Blood Tests: GPx

    January 24, 2025 | Startup Exchange Video | Duration: 7:47

    AI Driven Bloodless Blood Tests
    Sean (Shunsuke) Matsuoka, Co-Founder & COO, GPx
    GPx: https://gpx.ai/

    In an aging society, the number of heart failure patients is increasing, making the prevention of readmissions and reduction of medical costs critical issues. Remote monitoring using invasive implantable devices has proven effective in reducing heart failure readmissions, but its use remains limited.

    To address this, GPx has developed an algorithm that non-invasively predicts signs of heart failure exacerbation. This algorithm was created using clinical trial data from monitoring 245 heart failure patients over 6 months to a year at eight facilities, including the Mayo Clinic in the U.S. The algorithm links digital 
    biomarker data with vital blood tests (NT-proBNP and creatinine) to achieve high-precision prediction and early medical intervention.

    Additionally, with a grant of 1.2 billion yen provided through AMED, we are collaborating with the National Cerebral and Cardiovascular Center (Dr. Chisato Izumi) to conduct a clinical trial involving 400 patients starting April 2025. The trial will be conducted at the National Cerebral and Cardiovascular Center, Kyoto University, Kobe University, and Kochi University.

    Furthermore, at this year's MIT Japan Conference, we will unveil a groundbreaking point-of-care (POC) potassium testing device for the first time. At the conference, we aim to explore the feasibility of applying our technology to other conditions (such as kidney failure, pulmonary arterial hypertension, and cardio-oncology) and to assess the potential for providing algorithm-based services for heart failure patients within Japan.

  • Cyrus Shaoul headshot2

    4.5.23-AI-Leela AI

    April 5, 2023 | Startup Exchange Video | Duration: 5:52
    Machine vision that understands industry
  • Past Deadline: Nov 9, 2020

    Startup Training - Session III: Managing Funnels for predictable sales

    other

    Join MIT Sloan Lecturer Miro Kazakoff on Tuesday, November 10 from 11:00 AM to 12:30 PM for a free workshop on developing your sales tactics.

  • Covariance.AI

    New York, NY
    Software
    View any CEO’s dashboard
    Keywords:
    Competitive IntelligenceMarket IntelligenceKPI ForecastingPredictionnowcastingAlternative data
    Covariance Logo color
  • Daisy Zhou and Jack Dunn - Interpretable AI
    Interpretable AI logo
    December 7, 2018 | Startup Feature

    Interpretable AI

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