MIT Startup Exchange Live Demo Day: April 2, 2025
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.
Covariance’s next-generation external intelligence platform reveals never-before-seen detail on competitors and customers
The World's Most User-Friendly Data Analytics Hub Leveraging AI-Powered Analytics Agent Daphne Pariser CEO, HeronAI
Activate Customer Data with Decision Intelligence Abhi Yadav, Co-Founder & CEO, iCustomer iCustomer: https://www.icustomer.ai/
GTM teams are overwhelmed by fragmented data across platforms, leading to ineffective targeting, false signals loop, wasted time, and frustrated buyers and sellers. This chaos results in high acquisition costs, bad retention and missed opportunities.
iCustomer's agentic AI platform unifies first-party and third-party customer data to deliver actionable intelligence. The system automates decision-making and orchestrates optimized GTM plays, enabling teams to execute with precision and efficiency.
Our Identity Resolution Engine creates immutable IDs mapped to hundreds of external data sources, while our Decision Intelligence Layer activates optimal GTM plays powered by AI Agents. The platform continuously optimizes CAC, LTV, and Ad ROI through machine learning and real-time market signals.
Predictive Voice AI Empowering Workers’ Safety and Health Yujie Wang Founder & CEO, Vocadian
MIT STARTUP EXCHANGE FEBRUARY 2025 DEMO DAY
February 27, 2025
MIT Startup Exchange Live Demo Day
April 2, 2025