Artificial Intelligence and Genomics: Future of Preventive Medicine

Artificial Intelligence and Genomics: Future of Preventive Medicine

Healthcare Tech Outlook | Wednesday, November 21, 2018

Processing towards digitization and integration amongst numerous IoT systems has led to the requirement of efficient artificial intelligence protocols and cognitive systems—enabling their values in different applications. Precision healthcare is one of the applications where doctors are tested to provide targeted, precise treatment and therapies to solve health issues. Employing AI driven approaches in healthcare precision sector will enhance a patient’s treatment in an effective manner, especially in large population countries such as India and China.

The current healthcare providers are mainly concentrating on advanced technologies, which can remember the disease type and provide treatment to a large number of populations who are suffering from a similar type of disease. Furthermore, with AI-driven integration approach coupling health sensor data, genome sequencing, and an increase in the amount of big data will provide valuable insights for tailored treatments in the future. But with a single physician to analyze the extracted big data through manual process is found to be a critical task and a time-consuming process with more chances of failure results. This is where AI comes into the picture.

In the AI-driven predictive analytics, high volume of genome datasets is used for feature extraction, and to recognize the unique patterns showcasing the type of disease. Moreover, this AI-based genome prediction helps in identifying the dead genes in the body cells and the probability of development of a similar type of disease in an individual or a group.

With security concerns being the critical metric these days, the data generated by precision healthcare solutions driven by AI should be secured enough to overcome limitations regarding privacy issues. There should be a standard government framework to monitor all the activities captured by precision healthcare providers, and the doctors should be given the authority to take the final decisions.

Furthermore, the gradual shift towards insurance sectors has also paved way towards precision insurance, where genome-based algorithm insurances are implemented to predict susceptible risks that arise due to mental issues, normal physical diseases, and the future cost spends to resolve the medical issues.

By integrating AI technologies in precision healthcare and insurance sectors, the entire landscape of healthcare will be significantly changed. Doctors can provide target-based treatment to individuals with better precision healthcare solutions. This process will improve the rate of positive diagnosis in larger populations, leading to efficient and effective precision healthcare services in the future.

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