SigTuple has collaborated with Silicon Valley Bank (SVB) for the deployment of AI100, a smart Artificial Intelligence (AI) driven robotic microscope that digitizes manual microscopy processes, at a remote tribal hospital in Gudalur, TN.
This installation is expected to benefit more than 50,000 people in the area – aiding in early detection of critical diseases like cancer, bacterial & viral infections, anemia, etc. and reducing turnaround time significantly, from around 48 hours to less than 15 mins.
Pranat Bhadani, President, Business Growth & Strategy, SigTuple said “Digitising microscopy has the potential to transform the way disease detection is done throughout the country. SigTuple is leveraging AI to automate the manual microscopy process. With our flagship product, AI100, a lab in a small town can avail the expertise of an experienced doctor in the metro with no sample shipment requirement. More accurate results can be obtained faster and at lower costs. This installation is the first of many that we have planned. We hope to work with corporations across different industries, to leverage their CSR budgets, to help us boost the medical infrastructure across the length and breadth of the country”.
SigTuple combines artificial intelligence, robotics and data science to build smart screening solutions, to make healthcare accurate, accessible and affordable.
Their vision is to ensure delivery of quality healthcare faster, better, cheaper – to the remotest corners of the country. The installation at Gudalur is a giant step forward in this direction.
As with all manual processes, microscopy too can be time-consuming, expensive and prone to error when done manually. India has 100,000+ labs to cater to the diagnostic needs of 1.35+ Billion people.
However, with only around 20,000 pathologists, most laboratories have to rely only on a lab technician to perform the duties expected from a trained pathologist. The lack of skilled pathologists is compounded in rural areas.
With this machine, biological samples can be digitized on a glass slide, which is then analyzed by cloud resident AI algorithms, enabling pathologists to work remotely, even on a mobile device.
They can collaborate with other pathologists and get a second opinion on critical cases, within minutes. Moreover, AI significantly reduces the review time of the pathologist, and the same pathologist can now review 5-10 times more samples, without the need to be co-located in the laboratory.