AIndra, a Bengaluru-based startup is into the business of building innovative products and technologies to aid computational pathology. Established in 2014, AIndra’s vision is to build state of the art medical devices for screening Cervical Carcinoma.
This article is created solely based on my analysis of information found on AIndra’s website. The objective is to make readers aware of some of the following technologies AIndra is using and, how they can be used to solve healthcare problems, in general. The goal is provide food for thought to the readers such that they can use some of these technologies in their future startups.
If you work in AIndra, please feel free to reach out if you think further information could be added.
The following are key aspects of screening / analysis which are taken care by related AIndra products:
AIndra is making use of some of the following technologies to achieve the AI-powered cervical cancer screening:
As per Wikipedia page on Telepathology, Telepathology is the practice of pathology at a distance. It uses telecommunications technology to facilitate the transfer of image-rich pathology data between distant locations for the purposes of diagnosis, education, and research.
The primary idea is to transfer the image-rich pathology data to distant location. This can be very effective if you are planning to gather slides details (images) from different diagnostic centres. From business perspective, AIndra might require to undergo partnership with multiple hospitals / diagnostic centres across different cities and gather the slides images from them using Telepathology techniques such as some of the following:
The following is the list of some of the key technologies which could be used to implement telepathology:
Computational pathology, generally speaking, can said to be an approach to diagnosis that incorporates data from multiple sources such as some of the following to generate diagnostic inferences. These diagnostic inferences provide doctors / patients with actionable knowledge.
The following are some of the benefits of using computational pathology as part of overall pathology ecosystem:
AIndra is using product such as Intellistain and Visionex for capturing data from data source such as slides.
The following is the list of technologies which can be used (IMHO), in general, to implement computational pathology solutions:
AIndra uses the image scan using Visionex to gather / capture data from slides. These images can then be put on or sent to a centralized document / image server for further processing.
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