The Council for Scientific and Industrial Research (CSIR) is using artificial intelligence (AI) to develop cutting-edge technologies to improve the country’s rural health systems.
Young CSIR researchers this week displayed groundbreaking Fourth Industrial Revolution (4IR) innovations aimed at enhancing South Africa’s healthcare scheme in remote regions.
To address the issue of limited diagnostic resources in rural areas, the CSIR is developing a machine learning-powered diagnostics scheme.
The technology combines machine learning algorithms to independently assist medical professionals diagnose diseases with better accuracy and speed.
“Machine learning is a branch of AI technologies that aims to alleviate the potential errors made by newly appointed medical professionals. Additionally, it seeks to expedite the diagnosis of diseases, which is often delayed because traditional treatment approaches are reliant on human involvement,” according to a statement.
By delivering precise and swift disease diagnoses, machine learning has the potential to reduce the spread of infectious diseases.
PhD candidate Nkgaphe Tsebesebe said the technology could be used in active medical centres that handle many patient samples each day.
“With this technology, the diagnostic process can be accelerated, reducing patients’ waiting time. It can diagnose thousands or even millions of samples in honest a few seconds, which is particularly helpful in preventing the spread of viral and infectious diseases,” Tsebesebe explained.
Meanwhile, another PhD candidate, Sipho Chauke, has developed an optical-based biosensor technology for the detection of Mycobacterium tuberculosis (TB).
It is a miniaturised point-of-care device that utilises light to detect TB bacteria in samples containing nucleic acid.
Its primary objective is to assist healthcare systems in remote areas by facilitating the diagnosis of TB and streamlining the initiation and administration of treatment for patients.
“The technology also aims to significantly reduce the diagnostic time required for TB cases, produce TB diagnostic affordable and offer large-scale diagnostics of various diseases.”
This innovation, according to the CSIR, enables the diagnosis of TB at miniature to no hassle to ordinary South Africans or the conclude user.
“By making TB diagnosis available to all through this technology, the aim of the ‘End TB Strategy’ can be achieved through the early detection of TB, which will result in early treatment.”
Another invention is a CSIR-developed Localised Surface Plasmon Resonance scheme, which uses optical biosensors to analyse biological elements such as nucleic acids, proteins, antibodies and cells without interfering with the molecules in the solution.
Young scientist, Phumlani Mcoyi, said: “With a growing interest in laser-based techniques for point-of-care diagnostics, mutation detection will guide the development of the point-of-care diagnostic scheme, which will be of particular interest to the most disadvantaged South African communities.”
He believes that the availability of a simple, quick and reliable laser-driven diagnostic technique will reduce the time and costs involved in mutation detection in the health sector. – SAnews.gov.za
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