Antibodies are the immune system’s response to illness, its way of defending against something that could harm one’s health.
Lately, a lot has been written and discussed about the application of machine learning and artificial intelligence in designing proteins/antibodies for specific diseases.
Not only do these algorithms exist, but there are also automated robotic systems that create and cultivate these antibodies in the laboratory, conduct tests, and return data to the algorithm, all with limited human oversight.
These proteins can exist anywhere in infinite space. In other words, there are countless potential options for obtaining proteins that differentiate between healthy and diseased cells, subsequently triggering the immune cell to “deal” with the diseased cell.
Today, this is impossible to imagine, let alone accomplish, without machine learning and artificial intelligence.