The Fourth Hackathon for Rare Diseases will take place on Saturday December 7th at the campus of the Rensselaer Polytechnic Institute.
The goal of the Hackathon is to continue implementing the prototype of a web-based platform for facilitating the information management of members of the Rare Diseases community.
Why Rare Diseases ?
Rare diseases are defined as those who afflict populations of less than 200,000 patients, or about 1 in 1,500 people.
There are, however, about 7,000 rare diseases.
The patients affected by them, and their families, struggle due to the lack of information and general knowledge on the nature and treatment for these afflictions.
- It takes in average 7.5 years for a patient to get a correct diagnosis for a rare disease,
- After having seen and average of 8 doctors .
By then, these patients have been treated for a variety of incorrect diagnosis and have missed the proper treatment for their case.
Most rare diseases are genetic, and thus are present throughout the person’s entire life, even if symptoms do not immediately appear. Many rare diseases appear early in life, and about 30 percent of children with rare diseases will die before reaching their fifth birthday.
The Hackathon event is coordinated in collaboration with Ed Fennell, who is driving the Forum on Rare Diseases at the Albany Medical Center.
The Hackathon will take place
- Saturday December 7th
- From 12:00pm to 5:00pm
- RPI Campus (Map here in PDF)
- Refreshments will be included.
Mentors will include: Kitware developers, SUNY Albany Faculty, SUNY Albany Students, SUNY Albany ASIS&T (Association for Information Science & Technology) Student Chapter, RPI Students from the Rensselaer Center for Open Source (RCOS), Skidmore College GIS Center for Interdisciplinary Research staff/students.
Software developed during the Hackathon will be uploaded to the Emily and Haley organization in Github.
The event is open to ALL,
If you are in the Albany area, join us to apply Open Source to things that Matter !
To register go to this link http://goo.gl/DfkXEw