For decades, the pharmaceutical industry has counted on state-of-the-art technologies to ensure the market entry of safe and dependable medications. The recent pandemic has shown how important it is for drug companies to get new drugs and vaccines on the market as soon as possible.
The incorporation of artificial intelligence
and machine learning
technologies has greatly benefited the consumer healthcare business and the pharmaceutical industry. These technologies have been indispensable in the field of augmented intelligence, where they are used for applications such as disease detection and diagnosis, research and development, drug manufacturing, and others.
How is AI Being Used Across the Pharmaceutical Sector?
AI and ML are finding a plethora of applications across the pharmaceutical sector, starting from managing the process of clinical trial databases to drug discovery
and disease diagnosis and treatment. These advanced technologies have further gained immense popularity with the advent of the COVID pandemic and the race to discover effective vaccines.
The top-level uses of AI across the pharmaceutical sector are as follows
Personalized Treatment/ Digital Therapeutics –
AI is extensively being used to identify and assist drug developers to provide reliable and accurate insights for developing personalized therapeutics.
Disease Identification/ Suggestive Treatment –
With robust assessing abilities, AI is finding applications for the diagnosis of diseases ranging from Covid-19 to oncology to degeneration in the eyes.
Drug Discovery and Manufacturing –
AI assists in screening and comparing the predicted success rate of drug compounds based on biological factors with the results of the initial screening process such as rapid RNA and DNA quantification.
Clinical Trials –
The technology helps in identifying the most suitable candidate for the clinical trial on the basis of disease conditions, history, and additional attributes covering infection rates, ethnicity, and demographics to study the impact of the drug.
The Way Ahead
With growing applications in the development of novel therapeutic medications, shifting patient inclination toward personalized medicines, and the introduction of advanced medical fields such as gene therapy, AI is estimated to transform the pharmaceutical