Paper Key : IRJ************354
Author: Wasim Fathima Shah
Date Published: 16 Oct 2023
Abstract
The integration of Artificial Intelligence (AI), Blockchain (BC), Machine Learning (ML), and Deep Learning (DL) has significantly impacted the pharmaceutical and healthcare sectors. These technologies, which were once considered futuristic, now offer tangible benefits such as enhancing organizational strategy, elevating patient care quality, driving revenue, and mitigating risks. Both AI and ML significantly enhance the drug development process, allowing experts to sift through vast amounts of scientific data to extract pivotal insights. AI's role in the pharmaceutical domain has evolved from mere theoretical discussions to practical applications. The introduction of BC in healthcare promises to revolutionize existing systems for patient benefit, evidently enhancing health outcomes and cost efficiency. AI, ML, and DL are quickly becoming foundational technologies, mirroring the internet's ubiquity, with a transformational impact on the horizon. Specifically, Recurrent neural networks (RNNs) excel in sequence analysis and are pivotal for time-series or textual data analysis, with digital medical record evaluation being a standout application. This document elaborates on the transformative role of these technologies in the pharmaceutical and healthcare industries.