Home > Science and Technology > Artificial Intelligence in Precision Medicine

Artificial Intelligence in Precision Medicine

Artificial Intelligence in Precision Medicine

Precision Medicine is the most advanced topic in the development of Medicinal Sciences. It is the personalization of medical treatments, practices, and decisions. These are based upon the lifestyle, genetic, and many other aspects of an individual. Artificial Intelligence (AI) is a controversial, yet very advanced topic. AI are simply machines that mimic the human mind and cognitive functions. These include: problem-solving, learning, and making decisions. Modern medicine uses it for personalized diagnosis, treatment, and disease prevention.

Diseases-related gene identification by AI

Most of the diseases in humans occur due to the abnormal mutations in a single gene. These are commonly known as “Genetic Disorders”. The most common genetic disorders arecystic fibrosis, thalassemia, sickle cell anaemia, and Huntington’s disease. Also, genes help to predictions in diseases. These include: diabetes, heart problems, and immunity based upon the family history of a patient.

Artificial intelligence in neural networks

An artificial neural network is similar to the human brain. Although it is a small-scale mathematical model, in addition, it also models neurons in the cerebral cortex. For instance, self-driving cars and image compression use it. However, mostly classification of genetic databases is the main function. It has three basic levels: input neurons, hidden neurons, and output neurons. They are first fed with the expected gene dataset. Then, it goes through it and ‘learns’ the patterns connected. Therefore, this identifies significant information of a gene pool fed into the system. This whole procedure is a mathematical marvel.

Digging deep into the layers

Hidden layers of the neural network reveal that it could process the information on various protein interactions. It gave brand new biological information, helping to find the specific type of medicine an individual should receive.

Conclusion

In conclusion, using AI neural networks in medical sciences has tremendous advantages. Thus, if researchers can reach the next levels of individualized medicine, they can treat many rare diseases more sensitively.

Leave a Reply