AI can be the key to early detection of diseases: this is the project in which Microsoft is collaborating

Artificial Intelligence is one of the fields in which Microsoft is showing more interest for some time now. We saw, for example, how it was done with Lobe, the latest example that serves to shed light and stenographers on this trend being the acquisition of the Texan company XOXCO, a provider of development software aimed at the field of artificial intelligence and chatbots, an announcement that conducted by Lili Cheng, Vice President of Artificial Intelligence at Microsoft.

An Artificial Intelligence that can have an enormous range of possibilities in which to apply it, being the field of he alth one of those that can benefitof AI presence. We saw this when we learned of Microsoft's partnership with Adaptive Biotechnologies to decode the human immune system using AI and machine learning, a partnership that is now growing again.

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But let&39;s put ourselves in a situation. The initial objective of the project, extremely interesting, is to facilitate that through a simple blood test and with the help of AI and automatic learning, different types of diseases and disorders can be detectedEarly warning of the presence of an X condition, a cancer or any disorder can be key for it to be treated effectively."

We have now learned that this partnership with Adaptive Biotechnologies goes one step further, expanding the partnership with the global expansion of the Antigen Mapping Project. The goal is to achieve the sequencing of the immune systems of up to 25,000 people, a task for which collaboration with researchers, biobanks and patient groups has been opened of all the world.

The project is ambitious, because in order to carry it out it requires the handling of a huge amount of data that requires the use of novel algorithmic approaches to model how T cells bind antigens. A scenario in which both cloud infrastructure and AI play a key role in shaping the resulting data.

Early diagnostic

Right now we know the top five conditions to be studied: Type 1 diabetes, celiac disease, ovarian cancer, pancreatic cancer, and Lyme disease They are, as we can see, important diseases, common today, so their possible cure or at least treatment, would mean an unprecedented advance.

These diseases represent some of the different roles that T cells play in controlling or causing autoimmune diseases, cancers, and infections. In principle, the initial objective is the decoding of the antigen map, which will make it possible for a universal diagnosis to be given in the long term and will offer a new platform to design targeted immunotherapies and vaccines

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