International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 05 | May 2024
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p-ISSN: 2395-0072
THE SYNERGY OF AI AND HEALTHCARE: UNCOVERING NEW FRONTIERS IN PERSONALIZED MEDICINE AND TARGETED THERAPIES Anusha Yella AT&T Services, USA ------------------------------------------------------------------------***------------------------------------------------------------------------ABSTRACT Artificial Intelligence (AI) is transforming the fields of drug discovery and healthcare innovation, expediting research processes, and driving remarkable advancements. This article delves into the profound influence of AI on drug discovery, showcasing its capacity to analyze extensive datasets, pinpoint potential treatments, and reveal new patterns and connections in biological data [1]. By leveraging through the use of AI algorithms, researchers have the ability to significantly decrease the time and resources needed for drug development. This allows for a more efficient process, from laboratory discoveries to clinical applications [2, 3]. Approaches facilitate the identification of new therapeutic targets, support drug repurposing, and open doors for personalized medicine and targeted therapies [4, 5]. In addition, AI plays a crucial role in driving innovation, pushing pharmaceutical research towards unexpected advancements, and revolutionizing conventional drug discovery methods [6]. With the rapid advancement and integration of AI in healthcare systems, there is great potential for it to revolutionize pharmaceutical innovation and enhance patient outcomes [7].
INTRODUCTION Artificial Intelligence (AI) has become a game-changer in the field of drug discovery and healthcare innovation. The rapid advancements in AI technologies have unlocked unprecedented opportunities to revolutionize the way pharmaceutical research and development are approached. By harnessing the power of machine learning, deep learning, and natural language processing, AI is transforming the realm of drug discovery. It offers groundbreaking solutions to long-standing challenges and paves the way for significant advancements in healthcare. The traditional drug discovery process is widely known for its lengthy duration, significant expenses, and challenges with high attrition rates [8]. Nevertheless, the incorporation of AI into this process holds great promise for expediting the discovery of new therapeutic targets, enhancing the efficiency of drug candidate design and optimization, and optimizing preclinical and clinical trials [9]. AI algorithms excel at analyzing large volumes of intricate biological data, revealing concealed patterns and connections, and producing valuable insights that may elude human researchers [10].
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