Broadly, AI is defined as a computer system able to perform tasks that normally require human intelligence. It includes three distinct types: Human created algorithms, Machine learning and Deep learning.
We currently work on human based algorithms, evidence based approaches which are programmed by researchers or clinicians. We embed known data into algorithms which extract information and apply it to a given situation, providing us with choices of available treatment and recommended drug combinations.
Our technical ecosystem is on it’s way to being so interconnected, that everything we use involving technology will have the bases of machine learning into the system.
Machine learning relies on “neural networks”. These are computer systems based on the human brain. It uses “multilevel probabilistic analysis” which allows computers to simulate the data processing of the human brain, therefore not even the programmers are able to tell how the computer arrives at the final solution.
Thus far, the use of machine learning in the Pharmaceutical industry has been minimal, however the potential applications to the industry are game changing.