DURBAN, South Africa
March 24, 2014
/PRNewswire/ -- On World Tuberculosis Day, IBM (NYSE:
) and the KwaZulu-Natal Research Institute for Tuberculosis and HIV (K-RITH) have announced plans to research new treatment approaches to fight tuberculosis (TB) in
. IBM's Big Data analytics technologies will be put to work on bacterial genetics and drug susceptibility tests to better understand the genomic mechanisms that cause resistance to antibiotics. The ultimate goal is to find new treatments and diagnostic approaches to fight TB.
The scale of the TB problem in
is largely a result of HIV infection, lack of integration between HIV and TB treatments and historic challenges in healthcare delivery. Currently
has the world's third highest burden of TB, with the province of KwaZulu-Natal being the most affected by both drug-susceptible and drug-resistant tuberculosis. Over 100,000 cases of TB are reported every year from this province alone and over 60% are also infected with HIV.
The KwaZulu-Natal Research Institute for Tuberculosis and HIV (K-RITH), which is based at the University of Kwazulu-Natal's
Nelson R. Mandela School
of Medicine, is an independent research institute established in 2009 to conduct basic science research into TB and HIV, and translate the scientific findings into new tools to control these deadly diseases. The Institute's work has boosted the TB and HIV research capabilities of scientists in
. The work with IBM involving its Big Data and deep data analytics technology will enable K-RITH to understand bacteria genomes from drug-resistant strains of M. tuberculosis-- the bacteria that causes TB.
According to Associate Investigator at K-RITH, Dr.
, the agreement with IBM is "a significant collaboration" that gives South African scientists access to IBM's computational expertise in bioinformatics and machine learning. "This will allow us to analyze data in new and imaginative ways and it holds the promise of giving us better insight into the mechanisms of drug resistance, leading to better diagnostic tests," said Dr. Pym.
The science has benefitted from IBM's global network of research labs and world leading expertise in computational biology. Researchers from the
labs are working together to analyze over 200 TB genomes, each with 4.4 million base pairs, to better understand the complex clinical picture of African tuberculosis infections.
, senior manager of analytics at IBM's Research Lab in
said, "TB drug resistance is a far more complex genome by comparison to something like the HIV virus. The bioinformatics or computational tools needed to extract information on the disease are very new, yet cracking the code of this genomic information will help define which treatment combinations work best for different patients and how they work on different strains of TB."
"For HIV, technology can look at the difference in viral load before and after treatment, and use that to understand whether the treatment was a success. But in TB, there is no single measure that defines the status of the disease. We will need to develop multiple ways to label the treatment outcomes and new methods to indicate whether a treatment was effective," said Rosen-Zvi.