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How Can AI Help in Oncology Assisting Diagnostics and Drug Discovery? – Healthcare Tech Outlook

Posted: July 9, 2020 at 2:17 pm

Artificial intelligence (AI) is a growing market engulfing all the sectors, is showing no signs of slowing down, especially in healthcare.

FREMONT, CA: The usage of AI in healthcare is predicted to reach $6.8 billion by 2021. Companies and countries are seeing the value of focusing on AI research. Healthcare databases are usually complicated but are full of useful information that can be utilized for drug discovery and precision medicine. Adopting AI in healthcare can help in improving the organization of data as well as fast-paced research breakthroughs.

It is a well-known fact that personalized medicine creates better patient outcomes when treating cancer. Additionally, to detect cancer, AI technology shows promising possibilities when it comes to differentiating genetic mutations to allow for precision medicine. By being able to evaluate and pinpoint genetic mutations, oncologists can provide better treatment for their patients. Personalized, or precision medicine demands constant analysis of genetic mutations to discover new treatments. Leveraging AI tools like Machine Learning and big data can help streamline this data collection and even improve with drug discovery.

AI technology helps differentiate healthy versus cancer cells, determine genetic mutations, and help researchers develop cancer treatment drugs. The pharmaceutical company is teaming up with technology giants to apply AI tools to drug discovery efforts. Using big data and Machine Learning technology, researchers can now analyze vast amounts of data seeking new ways to apply gene therapy. By having these tools, the time it takes to make these discoveries could be drastically shortened, leading to faster drug discovery and development.

It is transparent that the adoption of AI in healthcare can provide many benefits to researchers, healthcare organizations, and patients. AI tools can aid in making breakthroughs in cancer diagnostics, as well as treatment in real-time. But precaution must be ensured so that the data is shared safely and accurately. There must always be a delicate balance of human touch and machine to help prescribe with care.

See Also:Top Drug Discovery and Development Solution Companies

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How Can AI Help in Oncology Assisting Diagnostics and Drug Discovery? - Healthcare Tech Outlook

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