Problem being addressed
Rapid Diagnostic Tests (RDTs) are the main tools to diagnose malaria in sub-Saharan Africa, yet they are associated with a 60% incidence of false positives. This level of inaccuracy not only wastes valuable resources and money on patients who do not require these tests, but when uninfected individuals are treated for malaria, they also may develop resistance to artemisinin-based combination treatments (ACT). Lifelens offers a simple, more accurate, inexpensive, portable, and robust alternative for an effective malaria diagnosis in resource-constrained settings.
Detailed description of the solution
The Lifelens application, supported by Windows Phone 7 software, uses proprietary computer vision algorithms to digitally analyze blood samples and detect malarial parasites. A high-resolution imaging sensor and a micro ball lens attachment provide 350x magnified three-dimensional models of cells in low-volume blood smears. The application also uses GPS to geo-tag the location of each cellular analysis, which can then be displayed on Bing Maps.
Describe relevance to developing country settings
The Lifelens application can be used by anyone who can operate a basic mobile phone. A single phone can be used to diagnose numerous individuals. Furthermore, it can function without internet and thus has the potential to serve a broader population than the facilities and tools that are currently available.
Designed by
The design team includes the following:
- Wilson To, from the University of California, Davis
- Cy Khormaee, from Harvard Business School
- Tristan Gibeau, from the University of Central Florida
- Jason Wakizaka, from UCLA Anderson School of Management
- Helena Xu, from UBS Financial Services, Inc.
Funding Source
This project received funding from Microsoft's Imagine Cup Grant.
References
Internally generated reports
Lifelens. (n.d.) LIFELENS/What We Do. Link available here.
Lifelens. (n.d.) LIFELENS/Technology. Link available here.
wilsonjamesto (Poster). Imagine Cup 2011 SDI-Lifelens [Video]. (2010, Nov 15). Youtube link available here.
Externally generated reports
ABS-CBN News. (2011, April 11). Students Aim to Combat Malaria with Smartphone Software. ABS-CBN News.com. Link available here.
Hicks, J. (2012, January 3). Smartphone App Diagnoses Malaria From Drop of Blood. Forbes. Link available here.