IMPACT
The algorithm is microscope, disease (communicable and non-communicable) and sample (blood, urine, stool, pus) agnostic and will slash- by third- the time taken for slide viewing, image processing and result reporting. The algorithm will also overcome the need for trained manpower and will prove important for training and research for medical, paramedical and allied health staff that need remote collaboration and interoperability. IHF’s support to Medprime will enable the development and pilot testing of this AI/Machine Learning (ML)-led multiplex diagnosis software. The platform algorithm can be used beyond malaria in WBC differentiation, histopathology and cytopathology for cancer, sickle cell disease etc. and can run samples like blood, urine, stool, pus.
“AI is reshaping our world. Our digital solution, backed by India Health Fund, is future-ready and will tap into the power of artificial intelligence to ensure that malaria and other diseases are diagnosed quickly and correctly, even in the most distant corners of the country, and offer an easy-to-use open design remote tool for research, training and education purposes, which is another pressing need,”
Samrat, CEO, Medprime Technologies
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