In 1897 Russian novelist and physician Anton Chekov wrote about the complexities of life. Then how he might feel about the modern era? As technologies intervene in almost everything and a big amount of data is being collected, analyzed, and used in every industry.
Anton Chekov practiced medicine in a time when diseases are just phenotypes. Today, the healthcare system has progressed significantly, and big data has the biggest impact on it. Data-driven thinking and methods have now opened the doors for personalized healthcare systems.
Tailored experiences have become the standard in today’s environment. From the music we listen to the TV episodes we watch to the purchases we make, these are frequent suggestions based on data acquired about us, such as our purchasing and streaming histories.
The goal of a personalized healthcare system is to enable patients to have a personalized assessment of their health including a list of lifestyles change recommendations based on predicted health risks.
We haven’t completely reached the realm of personalized medicine yet, but it’s a few years ahead.AI powered Big data analytic tools will be the driving force for achieving this. IDC research predicts the global data sphere will grow to 175 zettabytes by 2025. Medical practices leverage the power of machine learning techniques to identify trends, patterns, and anomalies in the data to help experts make better diagnoses and treatment decisions. Complete personalized healthcare will only be possible when clinicians can understand which gene mutations or differences may cause specific illnesses (Since each one of us has a unique variation of the human genome)
To accomplish the comprehensive perspective of each patient, we must collect data from health records and lifestyle habits from many sources regularly and combine it into a unified perspective. This data is critical for understanding and analyzing each patient’s demands, which may be used to guide both medication development and the sort of treatment that a patient receives.
AI and machine learning help pharmaceutical companies gather, store, and analyze massive data sets easier than traditional procedures. It enables quick research based on genetic variation data from different patients and develops personalized medicines.
In a NutShell
In an ideal world, we would like to eliminate diseases. We may introduce preventative measures and therapies far earlier, sometimes even before a patient begins to exhibit symptoms, if we have a greater understanding of why, how, and in which people’s illnesses develop. Personalized medicine has the potential to enhance and possibly save many people’s lives, and artificial intelligence and machine learning will be the driving forces behind future discoveries.
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