The Future of Pharmacy: AI and Machine Learning in Medication Management

Abstract

The life science industry has long leveraged AI and machine learning, but the expectation is that the next several years will witness a growing agility and evolution across the board. One further step then is to consider a more tangible application of how AI can assist in more effective and responsible medical practice—the management of medications. The capacity of pharmacists, really at their apex, is to provide the best advice in all aspects of medication that a patient may need. The primary reason for this is that managing medications is very complicated. In a way, the additional techniques provide ways of tackling a small amount of the complexities of medication management while at the preclinical level, rather than waiting for the problems to emerge further down the line.
In this short article, we will provide two AI machine learning techniques that are very close to commercial deployment, having gone through multiple prototypes and extensively demonstrated internally, and may be positioned to different strategies in managing medications. The first technique will enable medications to be taken orally that otherwise can only be injectable, and could potentially shift medical practice toward orally administered and less expensive medical solutions. The second will involve user generation of new small molecules and increase the drug repertoire of pharmacists, while also potentially reducing the cost for drug companies to discover the medications.