Young Lad of AP Develops Critical Android Application

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If there is one thing that the state of Andhra can unanimously flaunt, that would be its young techie grads. For years, skilled graduates from the state have traveled far and wide to invent some life changing and life empowering innovations in the field of technology.

Sandeep Konam, a 20 year old IIIT graduate from Kadapa has developed a crucial Android application for screening and detecting cancer bio markers from a small drop of blood. Konam, who is currently studying MS in Robotics at Carnegie Mellon University at Pittsburgh, US, developed this appliance under the Google Summer of Code’ 2015.

The end outcome of the project was to develop a simple, low-cost, portable and highly reliable screening test for detection of cancer biomarkers from a single drop of blood. The software component of the project aims at building a mobile appliance to analyse the intensity of blood samples and quantify the presence or absence of various molecules.

The project was carried out under the mentoring of Tomas Helikar, Assistant Professor in the Department of Biochemistry at the University of Nebraska – Lincoln and Principal Investigator of Helikar Lab.

Following the concept of Mobile-based Blood-Sample Image Analysis listed by Helikar Lab, the appliance will take the advantage of the high quality cameras that equip majority of smart phones and support loss-less image compression.

The application would be named after testing and validation before it’s made available for public use. The appliance is yet to be developed across other platforms.

“My main motivation behind the project was to leverage on technological advancements to design affordable and reliable healthcare applications. Not many regions of the developing world facilitate the required equipment for diagnosis and screening of diseases like cancer. Fortunately, most of them have adequate access to mobile devices. India is a striking example of this contradiction” affirmed Konam while speaking to a leading newspaper daily.

This move suggests the possibility of leveraging camera-enabled mobile phones and precise image processing algorithms for diagnostic imaging and tele medicine.



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