
@ShahidNShah
Precision medicine, also known as personalized medicine, is a approach to healthcare that takes into account individual differences in people’s genes, environment, and lifestyle. It aims to provide the right treatment to the right patient at the right time, rather than a one-size-fits-all approach.
This type of medicine uses a person’s genetic information, medical history, and other factors to predict and prevent diseases, as well as to tailor treatments to an individual’s specific needs. For example, precision medicine can be used to identify patients who are more likely to respond to a certain type of cancer treatment, or to determine which patients with a particular disease are most likely to develop complications.
Precision medicine also uses big data, machine learning and AI to identify patterns and predict outcomes, it helps to improve diagnosis, treatment, and patient outcomes, reduce healthcare costs and improve the overall healthcare system.
Examples of precision medicine include genetic testing for inherited conditions, using biomarkers to guide cancer treatment, and using genetic information to predict a person’s response to medication.
So what exactly is the relationship between precision medicine and predictive analytics? How do we get from personalizing care at the individual level? Prakash Menon is the CEO at Basehealth, a β¦
Posted Oct 1, 2021 Predictive Analytics Precision Medicine
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