What is machine learning and how does it relate to healthcare?

What is machine learning and how does it relate to healthcare?

We recently launched another round of beta testing for our app, Your Perfect Dose. The magic behind our app is our proprietary machine-learning algorithm, which helps us provide personalized dose suggestions for your CBD and medical cannabis. “What in the world is a machine-learning algorithm”? Don’t worry, we’ve got you covered! We sat down with our Chief Technology Officer, Patrick Prioletti to answer a few questions about the technology behind our app.

 

Q: What’s an algorithm?

Patrick: An algorithm is just a set of instructions which, in today's world, can be complex or simple and can be written to handle either specific or generalized problems if the author has enough information.


Q: What is machine-learning?

Patrick: Machine learning is a type of algorithm which takes some data, finds patterns within the data, and uses the knowledge of these patterns to either predict future events or to simply discover the reasons that past events had occurred.


Q: How is machine-learning used in terms of Your Perfect Dose?

Patrick: Machine-learning is currently used to find patterns which have led to the success or failure of cannabis treatment for a handful of problems it is used to treat. This is no different to the ways that machine learning is typically used in the medical field. At Your Perfect Dose, it is our intention to enable users to leverage the immense power of these algorithms on a daily basis as they see fit, as opposed to simply being an unknowing and passive consumer of the product of machine learning algorithms. For instance, if you felt that some days you feel lethargic with the treatment option you've selected, how would you remediate this? This is where someone could use wearable tech that tracks movement, sleep, or other biomarkers, and allow the algorithms to either provide insight, or dare I say, help to improve the treatment protocol.


Q: Why is using this technology better than a one-size fits all dosing method?

Patrick: Even medicine that is researched thoroughly fails to consider one very important reality... Humans are a moving target. When a treatment is prescribed to a person, they are placed into a "bucket" of sorts which is only an educated guess based on trial studies which, by the way, did not include you. Have you ever heard from a pharmacist or a researcher from a pharmaceutical company asking how the treatment has been going? No? That seems a bit silly, doesn't it. Well, good thing we live in an era where communication can be handled conveniently, efficiently and securely through the advent of technology. So instead of a treatment being a static solution which does not change according to the individual's ever dynamic life, we can now apply dynamic adjustments to make the treatment better and more effective - something that actually listens and responds to how that person is feeling.