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Artificial Intelligence has become an integral part of our lives, and its use in various sectors is becoming increasingly widespread.
In recent weeks, we've heard most about chatGPT and Google Bard, these "generative" AI tools, which as the name suggests, are AIs capable of generating content.
However, the world of AI is also being explored in other sectors such as agriculture and agri-food, where it can be used to solve problems related to supply, storage, and food waste.
One example of AI’s potential in a different sector is machine learning where algorithms are used to analyze vast amounts of data to deduce conclusions or pose new problems.
Interesting, isn't it? This could have a significant impact in sectors such as health, where research requires the processing of a vast amount of data.
The company Galeon has anticipated this challenge very well by adapting machine learning to the medical sector and adding the security and transparency provided by the blockchain technology.
GALEON IN BRIEF :
One of Galeon's approach is known as Blockchain Swarm Learning (BSL), and it combines both machine learning and blockchain technology to make sense of patient data and health data.
Based on the general observation that health data was largely neglected, due to a lack of time and resources for the medical profession, it was time to do something with this crucial data.
Galeon's first objective is to organize and structure data inside the EHR (Electronic Health Record).
According to Galeon, the idea behind this is an ultra-sophisticated and intelligent file, in which any type of information can be inputted including treatment and
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