AI and Biology: the perfect partnership

Why these two unlikely worlds just work together Images courtesy of Unsplash

The natural world has been around for as long as humans have existed, with us cohabiting a planet alongside a multitude of different organisms, some of which we cannot even see with our naked eye. We exist, to some extent, in unison. However, while the nature of the world provides a host a marvels we can only just comprehend, why is the juxtaposing world of artificial intelligence starting to become ever more involved with the biology Mother Nature has created?

Nature’s own workforce

Nature has an incredible way of carrying out a host of processes with the aid of different elements or organisms to achieve a common goal or to help each other out. From different species working together symbiotically (our favourite examples of mutualism within nature) to internal processes that have evolved over time, nature has a way solving its’ own challenges. From producing antibodies at the first sight of a virus in the bloodstream to how plants grow in the direction of light, these automated processes show just how brilliant nature is.

However, where does A.I come into this.

A.I in healthcare

If we consider how A.I helps automate or speed up everyday processes, as well as reducing errors, the intertwinement of these technologies with biology just makes sense. Rather than replacing biological processes, A.I aims to perfect them.

Monitoring through wearable tech

Heart rate monitors are a basic form of monitoring through AI, with companies like Whoop, using data from a wristband to calculate the state of the wearer and providing analyse on how to recover or train.

However, other medical examples of this include, never insulin pumps which automatically adjust the level of insulin needed with minimal human intervention.

Processing health data

By using algorithms and machine learning, A.I can interpret data on a level humans can’t. Not only does this speed up the process, but it can also help make decisions on the best treatment, especially when there are numerous factors to consider.

This can also help with early detection of conditions, such as the potential for a stroke or heart attack based on a patient’s medical history.

While A.I in healthcare is relatively new, GM Insights suggest “ that Healthcare AI Market size is set to surpass USD 34.5 billion by 2027, according to a new research report by Global Market Insights Inc.” with this industry being quite infantile in comparison to others, the advances that could happen over the next few decades could revolutionise health care.