Litcius/Paper detail

Revolutionizing Drug Discovery With Artificial Intelligence

Ranjit Barua, Deepanjan Das, Nirmalendu Biswas

2024Advances in medical technologies and clinical practice book series12 citationsDOI

Abstract

Artificial intelligence (AI) is swiftly reshaping diverse industries, and the pharmaceutical sector is no different. This study delves into AI's capacity to revolutionize pharmacy, exploring its current and future applications in drug discovery, personalized medicine, safety, quality control, inventory management, and patient counselling. Despite notable advancements, challenges like data privacy, ethics, and regulations are crucial considerations. AI's transformative impact is evident in faster drug discovery, enhanced patient outcomes, cost reduction, and improved operational efficiency in pharmacies. The shift from manual processes to automated AI systems ensures precision, personalization, and cost-effectiveness in patient care. Ethical and responsible AI use, along with careful societal and workforce considerations, is imperative. This chapter provides insights into the future of pharmacy, highlighting AI's transformative potential in the field.

Topics & Concepts

Transformative learningPharmacyPersonalizationQuality (philosophy)WorkforceKnowledge managementComputer scienceRisk analysis (engineering)BusinessEngineeringEngineering ethicsArtificial intelligenceData scienceMedicinePsychologyPolitical scienceMarketingNursingEpistemologyLawPedagogyPhilosophyComputational Drug Discovery MethodsBiosimilars and Bioanalytical MethodsArtificial Intelligence in Healthcare and Education