The Place of AI in Biomedical Engineering


The biomedical engineering field is a complex industry that requires the best and brightest minds in order to achieve solutions that benefit patients and humanity as a whole. Up until now, it is has been difficult to make rapid progress due to the diverse array of natural processes that computers were unable to mimic or properly analyze. However, AI is changing that:


Neural Networks

In human anatomy, there are natural neural networks that contain valuable information and energy that the body uses to perform its biological processes. For instance, the neurons in the brain send their signals through synapses which then are interpreted by the cell based on electrical charges.

The body is infinitely complex. However, through scientific experiments the experts in these fields have been able to map certain networks and pathways that signals take. This allows them to be generated in digital form. From this new data set scientists can draw out solutions to problems such as neuropathy, phantom pain, and more.


Predicting Disease Vectors

Biomedical research has many specialty branches. However one of the most important areas is in disease prevention. AI is making strides in helping experts in this field understand this field even more.

Each infection is a unique combination of events that needs to be tracked in order to be understood. By feeding AI the right information, it can predict which vectors these agents will take in the body or out of the body. That way, health workers can be trained in the proper way to contain these threats and limit adverse events.



In the world of pharmaceuticals, the statistics of a drug having a positive effect are taken very seriously. One small error can cause major side effects. Not only is this a problem for the patient but also for the company that must spend more money on legal protection and research to perfect the drug.

AI is taking on a strong role in this type of development. It allows companies to analyze the cause of breakdowns of the medicine and use statistical analysis to determine the maximum or minimum effectiveness of the administration of each part of the substance.

When it comes to the biomedical field, it is anything but ordinary. Advanced math, statistics, and probabilities need to be leveraged in order to achieve breakthroughs that turn into better patient outcomes, lower costs, and higher levels of efficiency. The role that AI plays is still developing, but its value to the field will only grow.