Since the inception of artificial intelligence (AI), researchers have looked for new ways to use AI to solve problems in various sectors- One area where AI has shown great promise is in the area of healthcare, particularly drug discovery.
The traditional method of drug discovery involves testing countless potential new drugs against a disease target until an effective one is found. However, this process is often time-consuming and inefficient. On the other hand, AI can screen thousands of potential new drugs against a disease target much faster and more efficiently. In addition, AI can be used to identify new targets for existing drugs, or to develop new methods for delivery of drugs to specific tissues.
AI is also being used to develop new diagnostic tools. For example, by analyzing images of tissue samples, AI can often identify features that are indicative of disease. This can help doctors to make more accurate diagnoses, or to quickly identify potential problems. AI is also being used to process and analyze large data sets from electronic health records. This can help to identify patterns that may be missed by human analysts, and can lead to new insights into the cause and progression of diseases.
AI offers the potential to greatly improve healthcare by providing new ways to treat and diagnose diseases. However, it is important to keep in mind that AI is still in its early stages of development. Consequently, there are still many challenges that need to be overcome before AI can truly revolutionize healthcare.
References:
-https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828945/
-https://www.nature.com/articles/s41591-018-0075-1
-https://www.nature.com/articles/s41467-019-08254-w