Elbit is looking to provide goodwill help in the near term to MIT Startups on COVID-19 related efforts including medical devices design, prototyping, manufacturing, and engineering support. 20% of Elbit's business is in medical equipment, and can also help advice startups on readying their offering for FDA approval. MIT Startups are invited to apply for Zoom Meeting with Elbit’s Director of Research and Development,
The 2024 MIT Health Science Technology Conference will highlight broad and transformative trends in biology and healthcare, including early-stage discovery, immune cell responses, diagnostics, clinical capabilities, process development, rapid and continuous manufacturing, robotics and automation, and sustainability, all enhanced by artificial intelligence and machine learning technologies. Leading MIT researchers and MIT-connected startups will showcase these advances and discuss their implications for improving human health.
This conference will explore new or improved therapeutic approaches for finding cures for diseases which traditionally have been difficult to treat. This includes technologies for optimizing treatments and monitoring efficacy based on insights into cell and tissue state, circuitry, behavior, function, and responsiveness in normal and disease states, biomarker detection, better methods to predict and track efficacy, and enhanced manufacturing capabilities.
MIT Startup Exchange is looking for 8-12 startups (in IoT, advanced manufacturing, energy, materials, life science & medical devices) to speak at MIT ILP's annual Wuxi Symposium, held virtually on Zoom evening of Wed. Jan. 27th (Jan. 28th Beijing time).
Einblick Analytics: The hard parts of data science made easy
Denka, a leading medium-sized chemical manufacturer, is looking for startups that have the technology to visually detect food freshness and spoilage.
The Cooling Solutions Challenge seeks to find groundbreaking cooling solutions, which will help communities across the country become more resilient to the threat of extreme heat.
Xinterra pioneered the combined use of high throughput experimentation and artificial intelligence applied to materials, seeking efficient approaches to overcome slowness, high costs and overall limitation to innovation imposed by traditional materials R&D processes. Buonassisi will discuss Xinterra's combined use of high throughput experimentation and artificial intelligence applied to materals.