Artificial immune systems are intelligent algorithms based on how the immune system learns and remembers and could transform our ability to protect ourselves from biological – and technological – invaders
31 January 2023
ONE of the most important features of the immune system is that it can learn and remember, a kind of biological intelligence that is rivalled only by the brain. And just like the brain, researchers are attempting to replicate this intelligence artificially, by creating an AI called Artificial Immunological Intelligence (AII) that will improve our understanding of the immune system and could be used in computing to prevent malicious invaders doing harm there too.
The brain’s intelligence is embodied in connections between fixed neurons, whereas the immune system’s is based on transient interactions between mobile immune cells. The principle is the same, however, and both can be replicated in a computer program.
For the past few years, Johannes Textor at Radboud University in the Netherlands and his colleagues have been building AIIs in the form of computer-based populations of simulated T-cells. Each simulated immune cell has unique properties and they collectively learn through reinforcement, with cells that make a positive contribution to eliminating simulated pathogens replicating, and those that don’t dying out.
Already, AII is helping immunologists make progress on some age-old problems. For example, Textor and his colleague Inge Wortel have built an AII to test a long-standing idea in immunology that explains how T-cells learn what is a threat.
Real-life T-cells have surface receptors that recognise proteins or fragments of proteins called peptides displayed on the surface of other cell types. These peptides are …
Source link The world of medicine is quickly being revolutionized by a new type of Artificial Intelligence (AI) immune system, offering a completely new way to understand and address human health. Developed in the last decade, this AI versatile application has given rise to a new set of data driven insights capable of detecting and diagnosing diseases in a quicker, more accurate manner than ever before.
Through the use of powerful algorithms and machine learning, AI can analyze vast amounts of data and quickly identify patterns, trends, and anomalies. This allows the system to accurately detect signs and symptoms of various medical conditions, from the common cold to complex illnesses such as cancer.
The AI immune system also makes use of sophisticated prediction models which enable it to evaluate a patient’s overall health and provide detailed insights into their condition. By considering factors such as diet, lifestyle, genetic factors, and environmental factors, the AI can evaluate multiple scenarios and make more accurate predictions.
One of the most impressive aspects of the AI immune system is its ability to monitor a patient’s health data over time and make continual healthcare decisions based on their current health status. This will allow for more targeted treatments and better overall medical care.
It’s evident that the AI immune system is rapidly changing our understanding of human health and potentially revolutionizing healthcare for the better. As the technology continues to improve, it will likely become a staple of medical diagnostics and treatment planning, offering advanced insights for physicians and improved healthcare for patients.