In this lecture, I have learnt to apply AI technology to DNA. With the use of supervised learning, connecting the input X with the label set Y will result in the training data D and thus can make predictions, more accurate diagnosis can be made. For example, the fitness of the virus and the type of virus that causes a symptom will be known. Therefore, it helps advance the technology to fight against the virus, collect more data, and improve the medical treatment of the virus.
I think that we can use the concept of supervised learning to decode the genomes of different types of viruses and classify them into groups of strong, medium and weak respectively for each similar type of virus. Hence, the doctors can determine if the patient will suffer from severe symptoms and thus decide its treatment. This may help relieve the medical burden in Hong Kong. Also, by decoding the genome of the virus, vaccines and medicines can be invented. Hence, the prediction of the AI helps to deal with the evolution of the virus and keeps improving the medication and treatments for them. It brings many advantages to the medication.
In addition, with the help of AI, DNA can be decoded. Thus, people are investigating the technology of GM babies. When the training data of a zygote is known, scientists can study how to rearrange the DNA to improve a better set of training data of the baby in order to eliminate the disinfection of the baby. Though this may lead to an enormous discussion on morality, this technology can advance our lives in other ways, like GM food or tell us what things we do will result in suffering from various diseases by decoding our DNA and matching the label set Y of different possible diseases that we may suffer.
Therefore, I think it is intriguing to learn the application of AI technology to our DNA as it helps advance our lives in different aspects.