Future Directions of AI In Pharma : Innovation In Pharmaceutical Industry

Abstract

Artificial Intelligence (AI) is a technology that simulates human intelligence and problem-solving processes. It encompasses human cognitive functions such as reading, observation, preparation, interpretation, reasoning, correction, speech recognition, linguistics, and other sources. AI simplifies tasks by allowing machines to learn from past experiences, map efforts and actions to results, identify errors, correct them, adjust to new and random input values, and perform human-like tasks through in-depth scenario analysis. AI simplifies work by analyzing, filtering, sorting, predicting, scoping, and determining large data volumes to follow the best implementation procedures for producing an optimal solution. In the pharmaceutical industry, AI has several applications, including discovery and development of new drugs for complex and rare diseases such as Alzheimer's and Parkinson's, drug adherence and dosage, producing better analytics, finding more reliable patients faster for clinical trials, introducing automated robot pharmacies to fill prescriptions and dispensing, and improving marketing, logistics, and supply chain processes. AI has the potential to cut costs, create new, effective treatments, and, above all, save lives. Biotech companies should start using AI to their advantage as soon as possible. The industry has a lot to gain from embracing AI and machine learning solutions. AI can help create a strong, sustainable pipeline of new medicines faster and at reduced costs using the power of modern supercomputers and machine learning. This article exhaustively reviews the present status and future prospects of AI in pharmaceutical sciences with specific attention to the pharmaceutical industry. The literature has been collected from Pubmed, Google Scholar, and commercial websites related to this field. Overall, the future lies in cooperation between humans and machines, and alongside technological advances. Human clinical experts will need to adapt, learn, and grow. Potential experts will have to be both medical and technology experts. However, it is the evolution of medicine, not extinction.