The healthcare field is ripe for transformation by Artificial Intelligence (AI). One specific area is precision healthcare, ushering in a level of tailored treatment never before seen.
Precision healthcare adds an efficiency and accuracy to healthcare treatments. With precision healthcare, Doctors can potentially develop targeted precise treatment and therapies for a population as well as an individual. This can improve patient treatment to large populations in countries like India.
Current healthcare systems are primarily focussed on having treatments and solutions that can treat large population with similar symptoms. It’s based on evidence and data which comes from a series of medical tests on a patient.
But soon, with genome sequencing and health sensors data coupled with the growing amount of Big Data patient data will create large data sets of valuable information which can start being used for more tailored treatments.
But as a single physician is not equipped to manually analyse this newly available data sets for insights, which is where advanced technologies such as AI come in.
Components of Precision Healthcare
Using AI to develop precision healthcare, doctors and researchers can accurately predict treatment and prevention strategies for a given disease for a group of people or individuals. AI and machine learning is used to identify patterns within high volume genome data sets.
The other key data elements of AI analysis are microbiome data, social and behavioural data, clinical tests data and already existing patients contributed data. Both in and out of the human body there is a huge array of micro-organisms such as bacteria, viruses and viruses that attack bacteria. Together these are called microbiomes. A plethora of conditions, from obesity to anxiety, appear to be linked to the microbes inside us.
Using some of the deep learning algorithms and techniques, AI is being used to identify patterns and correlation within genome and other data sets. The AI models built from these data sets can help identify affected genes and predict a probability of developing certain diseases for a sub-group of people or individual. This in turn helps define potential treatments and therapies for individuals and groups of patients. In turn this implements a patient- or population-specific treatment intervention instead of one-size-fits-all approach. Hence, precision healthcare.
The analysis can effectively be used by doctors to prevent and contain diseases in large populations.