How Can Artificial Intelligence Impact the Life Sciences Industry?
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Life Sciences Review | Tuesday, July 21, 2020
Artificial intelligence can be useful in life science because it can help the scientists and researchers to discover life-changing drugs.
FREMONT, CA: Today, technologies like artificial intelligence (AI) have impacted the daily lives of people in many ways. For example, Alexa can give the news headlines or thermostats knowing more about the whereabouts and travel plans. Therefore, it is clear that AI will immensely change the world in many ways, which might not anticipate. In recent years, the life science industry is also implementing AI in their businesses to benefit from it.
Many AI-based devices have already proved their advantages in the life science and healthcare sector. The image analytics are utilized in the pharma researcher for describing the features of the cell lines as they want to understand the disease mechanisms and efficiency of the drug candidate. Furthermore, text analytics is used for identifying adverse events in advance. Several organizations are also using innovative techniques to find ways that will help them repurpose drugs.
Although some complicated and niche applications are further behind in innovation, the tools' competency is increasing rapidly.
Such a wide range of capability and rapid transformation might make it difficult to estimate when and where to implement AI, but its potential is clear. For example, scientists can use artificial intelligence to navigate complicated and massive amounts of data in life science. They can evaluate the full range of chemical compounds for discovering the next life-changing drugs. AI can also be used for matching the accurate patient for clinical trials as it can recognize the patients who require extra support to remain engaged throughout the execution of the trail.
However, AI is a term that can be interpreted differently, and it depends upon the perspective. Most of the time, terms like machine learning, deep learning, and AI are used interchangeably and mostly to create marketing hype. Therefore, such inconsistent utilization of the term develops communication challenges among the people who want to understand and benefit from artificial intelligence.
