Boston, Fall 2011
Health 2.0 Boston Fall 2011 Code-a-Thon
HACKING MEDICINE @ MIT
$5,000 offered in prizes for best projects
Date: Saturday, October 22 and Sunday, October 23rd
Location: Media Lab at MIT, Building E14, 77 Massachusetts Avenue, Cambridge, MA 02139, Cambridge, MA (map)
Health 2.0 has teamed up with Hacking Medicine at MIT for this inaugural two-day event. The objective of the Conference is to build innovative solutions capable of changing healthcare. We are expecting up to 100 physicians, scientists, engineers, entrepreneurs, students and enthusiasts to join us for an intense and enjoyable weekend of hacking, developing and creating. The first day will feature a number of expert tech speakers who will discuss cutting edge issues in technology. The event will culminate in an all-star judging session with the best creations taking home a cash prize!
HOW DO I REGISTER?
We’re capping participation at 100 people to ensure focus and a productive distribution of expertise. Spot are filling quickly so register ASAP. You can register HERE.
WILL THERE BE FOOD?
We will provide you with fuel all day. Just bring yourself, your laptops and your brainpower.
HOW DO I GET THERE?
The event will be at the Media Lab at MIT, located in Cambridge, MA.
- Massive Health
- Jamie Heywood (Chairman, PatientsLikeMe)
- Joe Smith (Chief Medical Officer/Chief Science Officer, West Wireless)
- Sutha Kamal (Co-Founder & CEO, Massive Health)
- Joshua Rosenthal (VP, Product Innovations, Eliza)
- William Shih (Harvard Medical School)
- Sridhar Iyengar (AgaMatrix)
- Zen Chu (MIT EIR & Accelerated Medical Ventures.)
- 10:00am-10:30am – Kickoff Keynote: Jamie Heywood, issues challenges
- 10:30am-3:00pm – Rapid Idea Modules: Speakers, brainstorming, rapid-fire presentations
- 3:00pm-3:20pm – Idea and Group Selection:
- 3:20pm-5:00pm – Start Hacking
- 5:00pm: Unwind
- 10:00am-3:00pm – Continue Hacking
- 3:00pm-4:30pm – Final Presentations
- 4:30pm-5:00pm – Closing Remarks
Challenge Tracks At Hacking Medicine
The Conference – the first of its kind – will focus on four principle areas of interest: big data, biosensing and biostimulation, healthcare automation and synthetic biology.
Big data: What are the best ways to extract meaningful information from huge data sets about patients, hospitals, treatments, etc?
Biosensing and biostimulation: How can we use sensors/stimulators to capture new data sets, design new tests and detect and diagnose diseases earlier and more effectively than ever?
Healthcare automation: Where are the openings? What is currently unaddressed?
Synthetic biology: The field is growing – how can we use current techniques to make an impact tomorrow?