Reflection on “Health Data Science, AI and Precision Medicine”

By Wong Sze Nam, St Mary's Canossian College

First of all, I have learnt a new phrase: “precision medicine” In the past, invented medicine was designed in population-based. Yet, human bodies vary a lot. Therefore, the effectiveness of the drug is not maximised. With AI, it can analyse the genetic behaviour, environment and lifestyle of each patient, thus adjusting the most suitable amount for them. Therefore, I think precision medicine is very useful in treating patients.

Secondly, I have a better understanding of the correlation between health and artificial intelligence. AI excels at analysing a colossal reams of health data in a blink of an eye. By naked eyes, it is difficult for medical professionals to notice abnormal cells and early diagnosis of diseases. With the help of AI, it can make accurate diagnosis and make early intervention. In this talk, the professor introduced various applications in the health industry which broaden my horizon.

One of my favourite sensor applications is the automated assessment tools. The kinect can identify the joints of a person and mark them as dots. By monitoring the movement of the dots, it can then put the data into a 3D graph. Therefore, we can measure the mobility of a person, especially elderly. I think this is very useful as I can use it to monitor the mobility and safety of my grandmother. When I see that she hasn’t moved for hours, I can remind her to do more exercise or walk in the house. This can maintain her health during the pandemic.

Also, I am impressed by the IEEE transactions on cybernetics. It uses a simple graph to indicate the relationships between different diseases. For example, if a person has alcohol dependence syndrome and thyrotoxicosis, there is a higher chance of one to commit suicide. With this graph, medical professionals can have early prevention that can stop the condition from deteriorating.

Last but not least, I think identifying real and fake faces is the most interesting part in the talk. In the talk, the professor showed us two photos of a human face, one was generated by the computer. In most cases, I cannot differentiate the two photos as the fake photo is very real. I was astonished by the advancement of AI as it can already confuse human beings.

Although there are a lot of challenges in AI health, I still hope that it can save people’s lives.