The role of Artificial Intelligence in the Fight against COVID

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Even before the arrival of COVID, it was clear that artificial intelligence would play a role in fighting with it.

With the arrival of COVID, the battle began on all fronts. The knowledge needed for the effective defense such as creating vaccines was already there. However, the knowledge is not always so easy to utilize. Scientific publications need to be researched. The White House has launched a consortium to analyze tens of thousands of scientific articles to understand how the virus works. Microsoft has participated in the Program among others.

It seems tech companies are ready to use their infrastructure and capital to help the world in the fight. Another example of this is the Chinese eCommerce giant Alibaba. Which has deployed AI to recognize Covid symptoms.

Another evidence of the usefulness of AI is the patient monitoring software. Using these, the doctors are able to avoid the risks of personal contact. This not only protects healthcare workers but also somewhat offsets the shortage of professionals that is a problem in many countries.

Artificial intelligence can speed up drug research

In the production of drugs, the extent to which researchers have been able to map the function of the pathogen is important. With the use of AI, this process, which has usually taken a very long time so far, can now be shortened by years.

Which company is at the forefront of AI-based drug research? Most would mention the name of a large healthcare company. Although, this company is actually Google. DeepMind is a development of a company called AlphaFold, which is owned by Google. This project has made great strides in mapping protein structures that could fundamentally accelerate drug production.

One possible solution: plenty of tests

According to the WHO head, clearly increasing the number of tests is an effective way to protect against the virus. However, testing is costly and time-consuming to perform. This is not to say that it would not be effective, but a more advanced method could test even more people and more easily, which could save lives.

Gauss Surgical is a company founded in 2011 with an artificial intelligence background from California. Gauss has developed a fast, simple, evaluable coronavirus test at home. Combining this with a smartphone, it is relatively easy to be tested for COVID. An easy and contactless test is a way to reduce the crisis.

Quick diagnostics

Once tech giants like Microsoft or Google have boarded, you can’t miss out on Facebook either. As part of a joint research project with the University of New York, they are working on an artificial intelligence-based algorithm that takes MRI images ten times faster. If they succeed, this would make rapid MRI and diagnostics available to many more people. And health professionals are unanimous in saying that effective treatment begins with an early diagnosis.

Artificial intelligence is excellent for pattern recognition. This is why imaging is perhaps the most active area where we can expect to benefit from it in healthcare.

This is just the beginning

Healthcare and COVID are not the only areas where we can use AI. In fact, it does a good job in every industry where we work with a large quantity of data. It will be a great way to spot patterns from consumers ’purchases that we can use to build more products that consumers actually want and need. Another big area that is virtually data-driven is finance. Bitcoin is currently on an upward trend again. With artificial intelligence, we can create models that can predict prices more efficiently, thus building a crypto trading bot that automatically and constantly searches the market for opportunities.

The shortcoming of known chatbots is empathy. Even human support agents sometimes have problems with empathic communication, not to mention an algorithm. Several startups are already working to create an empathetically communicating robot. The current decade may be a big kickstart for artificial intelligence and may become part of the mainstream. We are still ahead of the curve.

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This post was originally published by at Medium [AI]

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