For Dr Geetha Manjunath, breast most cancers was not initially a analysis downside or a startup alternative. It grew to become deeply private after she misplaced two cousins to the illness inside a brief span of time.In a single case, based on accounts of her journey, a mammogram did not detect the most cancers. By the point the illness was found, it was too late. Round six months later, one other girl within the household was identified with breast most cancers and in addition died.For Manjunath, a man-made intelligence researcher with a long time of expertise, the losses led to a query: may know-how assist detect breast most cancers earlier and make screening extra accessible?That query would finally result in the creation of NIRAMAI Well being Analytix, an Indian health-tech startup that makes use of synthetic intelligence and thermal imaging for breast most cancers screening.
From Bengaluru to IISc and India’s early supercomputing efforts
Manjunath grew up in Bengaluru and studied Laptop Science on the College Visvesvaraya School of Engineering (UVCE). She later pursued her grasp’s diploma and PhD on the Indian Institute of Science (IISc), Bengaluru, the place she was a gold medallist.Her profession positioned her on the intersection of computing and analysis lengthy earlier than synthetic intelligence grew to become a mainstream buzzword.She started on the Centre for Improvement of Superior Computing (C-DAC), the place she was a part of the crew concerned in constructing India’s early business supercomputing capabilities within the Nineties.She later spent 17 years at Hewlett Packard Labs as a principal analysis scientist and subsequently grew to become a lab director at Xerox Analysis in India, main knowledge analytics analysis.However after the deaths in her household, her analysis pursuits took a extra private course.
The thought: Can warmth reveal what screening misses?
Manjunath started learning the challenges surrounding breast most cancers detection. One main concern was late prognosis, significantly when entry to screening amenities is restricted.She and her crew started exploring thermal imaging. The underlying concept was that cancerous tissue can exhibit adjustments in metabolic exercise and blood movement, doubtlessly creating warmth patterns that differ from surrounding tissue.A thermal digicam can seize these patterns with out radiation or bodily contact. Nevertheless, decoding thermal pictures is much from simple.That’s the place Manjunath’s background in synthetic intelligence and machine studying grew to become central. The crew developed know-how designed to analyse thermal patterns and determine abnormalities that might require additional medical analysis.Their early scientific work included thermal imaging analysis with a medical establishment in Manipal.
Leaving company analysis to construct NIRAMAI
In 2016, Manjunath left her company analysis profession and co-founded NIRAMAI with former colleague Dr Nidhi Mathur.The title stands for Non-Invasive Threat Evaluation with Machine Intelligence. The corporate’s know-how, generally known as Thermalytix, combines thermal imaging with synthetic intelligence to help breast most cancers screening.In contrast to standard mammography, the method doesn’t contain radiation or compression. The transportable nature of the know-how additionally gives the potential of taking screening providers past giant hospitals and into areas the place entry to traditional gear could also be restricted.Based on the data shared concerning the firm’s journey, greater than 400,000 ladies have been screened throughout over 250 areas in India, with greater than 2,000 cancers detected.
When schooling turns into a instrument to resolve an actual downside
Manjunath’s journey gives a distinct perspective on what an engineering or analysis schooling can finally result in.Her levels, years of labor in supercomputing, synthetic intelligence and knowledge analytics didn’t initially have something to do with breast most cancers. However when a private tragedy uncovered an issue she believed know-how may assist handle, these a long time of technical expertise grew to become the inspiration for a brand new answer.Her story can also be a reminder that innovation doesn’t at all times start in a university hostel or with a seek for the following large startup concept.Generally, it begins with an issue that refuses to go away.For Dr Geetha Manjunath, two devastating losses led to a query. Her years of schooling and analysis helped her try to construct a solution.Disclaimer: This text relies on publicly accessible data and social media posts shared by the people or sources cited. The views and claims expressed are these of the respective sources and don’t essentially replicate the views of TOI Schooling.
