With the penetration of disruptive technology in diverse sectors and verticals, effective data-driven- statistical solutions become more accessible. Embracing the Industrial Revolution 4.0 we also witness the provenance of symbiosis between the tech and the medical landscape. This new relationship has marred the conventional pontificate by unprecedented protracted and holistic developmental inquisitions.

Various sectors within the Medical industry be it Pharmaceuticals, Nutraceutical or Homeopathy are jumping on the bandwagon to be a part of this expanding horizon. Artificial Intelligence (AI) is an asset with help provide patient centric-tailored plans which was not possible before with traditional medicine. The R&D sector is booming with disruptive innovations which provide a steep learning curve.

A Paradigmatic Shift In Consumer Behaviour

Product innovation is also rendered possible with the rise of sensitization towards a healthy lifestyle in the masses. Organic and natural alternative foods gained popularity over traditional items – Nutraceutical products and solutions are becoming increasingly popular as an alternative health supplement and food source. AI can further help in recognising the key ingredients which target a particular ailment and personalizing a product which escalates the treatment of the same.

People are becoming more aware of the chemicals present in medication which leave long term side effects, and to avoid that people are shifting to nutraceutical sources which not only cures many long term and hereditary diseases but also provides long term health benefits. One major use of AI in pattern recognition would be the identification of salts used in traditional medicine and replacing them with substitute salts present in other natural sources to develop a more cost-friendly and effective medication.

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Better Diagnosis

Healthcare professionals surveyed by Intel and Convergys Analytics believe “widespread adoption” is less than five years away.  Close to 20%  believe it will take less than two years to reach full-scale adoption of AI technology. With advanced technology based on machine learning algorithms and deep neural networks, we are rendered with a wide range of tools – such as electronic health record systems. Some pragmatic uses include – radiographic imaging, automated disease tests etc. 

The amalgamation of AI into diagnostics not only increases the throughput but also decreases the probability of human error. The globalisation of AI-based standardisation of real-time data acquisition has steered the potential of managing resources in a positive direction.

How AI In Nutraceutical Industry Solves Large Scale Problems

According to recent reports, the transformation of the nutraceutical industry is just a few years away with the industry projected to reach USD 18 Billion by 2025. Modus operandi of the industry is galvanised with cloud-based AI applications and Big Data deployed in nutraceutical healthcare to provide accurate, natural and healthier solutions.

The aim is to bridge the gap between the need and supply of personalised alternative medications in the healthcare industry. Large data can be collected through patient diagnosis and with the help of an algorithm the pattern is recognised thus providing the most effective and affordable treatment available within the domain of nutraceutical products.

A pending metamorphosis is on the way, as civilization becomes more tech-savvy and health-conscious.

Disclaimer: The views expressed in the article above are those of the authors’ and do not necessarily represent or reflect the views of this publishing house. Unless otherwise noted, the author is writing in his/her personal capacity. They are not intended and should not be thought to represent official ideas, attitudes, or policies of any agency or institution.

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