Health Diagnostics

James Heath of the California Institute of Technology in the U.S. will build stable, low-cost protein capture agents to target proteins. If successful, these agents could replace expensive and unstable monoclonal antibodies that are currently needed for diagnostic tests.

Simon Spivack, Albert Einstein College of Medicine in the U.S. will test the theory that DNA of the Tuberculosis bacterium can be detected in exhaled breath. The team will capture exhaled breath condensate samples via a non-invasive device and use nucleic acid amplification to detect the presence of mycobacteria.

George Whitesides of Harvard College in the U.S. will develop a novel low-cost device that can detect the presence of malaria-infected red blood cells in a drop of blood using an egg beater as a centrifuge. The blood drop is added to a short polyethylene tube filled with three polymer solutions, each of which have different densities and do not mix. The tube is connected to an egg beater and rotated for five minutes, allowing the blood to separate into layers of healthy erythrocytes, infected erythrocytes and white blood cells, detectable in the spaces between the polymer layers.

Aydogan Ozcan of the University of California, Los Angeles in the U.S. will test the feasibility of a lens-free cell phone microscope for rapid, automated and accurate diagnosis of malaria in field settings. This on-chip cell phone microscope is based on digital holography and does not require any lenses, lasers or other bulky components making it extremely cost-effective and compact.

Krassen Dimitrov of the University of Queensland in Australia will develop a new diagnostic test which utilizes nanoparticles which bind to specific biomarkers in saliva that are present during infection. With a magnetic particle binding to one side of a biomarker and a non-magnetic particle attaching to the other side, a visual "dumbbell" is formed, which can be detected using a low-cost magnetic reader.

Vineet Gupta of the University of Miami in the U.S. will develop a computational model to identify new DNA sequences in the Tuberculosis bacterium that can be used as biomarkers, and then employ zinc-finger tags to detect the identified DNA sequence in a diagnostic test.

Hongyue Dang, of China University of Petroleum (East China) will research whether early-stage pneumonia infection produces specific biomarkers that can be detected in a breath analysis. If so, Dang will produce and test a prototype breath sensor device that can be used in low-resource settings to capture and analyze these signature chemical compounds as a method to diagnose pneumonia.

Jackie Obey of the University of Eastern Africa, Baraton in Kenya will test the efficacy of a diagnostic test for malaria in which small amounts of blood are mixed with an iron solution to create vibrant colors that indicate the amount of a protein released by the malaria parasite.

Ranjan Nanda and Virander Chauhan of the International Centre for Genetic Engineering & Biotechnology in India will gather breath samples from tuberculosis patients and use gas chromatography-mass spectrometry (GC-MS) to identify and track unique molecules such as volatile organic compounds (VOCs) that might serve as biomarkers to diagnose tuberculosis. The overall goal is to then create a handheld "electronic nose" to diagnose the disease in resource-poor settings.

Udantha Abeyratne of the University of Queensland in Australia proposes using low-cost devices such as mobile phones and mp3 players equipped with microphones to record cough and sleeping sounds that do not require direct contact with the patient. Recording will be analyzed using new algorithms in human speech analysis to identify sounds that characterize the presence of pneumonia.