AI-DRIVEN INNOVATIONS IN CARDIOVASCULAR DRUG DEVELOPMENT
Main Article Content
Keywords
Cardiovascular Disease (CVD), Global Health, Morbidity, Mortality, Drug Discovery, Artificial Intelligence (AI), Personalized Medicine, Clinical Trials, Biomedical Data, Predictive Accuracy, Therapeutic Outcomes, Patient Outcomes, Healthcare Innovation
Abstract
Background: Cardiovascular disease (CVD) is a major global health issue, contributing significantly to morbidity, mortality, and economic burden. Despite medical advancements, developing effective cardiovascular drugs remains challenging due to the complexity of these disorders and the high failure rates in clinical trials. Traditional drug discovery methods, reliant on empirical testing, are often slow and inefficient.
Objective: This book examines the transformative potential of artificial intelligence (AI) in addressing the challenges of cardiovascular drug discovery. It aims to elucidate how AI can improve drug development processes and enhance personalized medicine.
Methods: The book reviews AI's applications throughout the drug discovery process, from target identification to clinical trials. It integrates case studies, expert opinions, and real-world examples to illustrate AI's impact on improving drug design, predictive accuracy, and therapeutic outcomes.
Results: AI has demonstrated significant promise in revolutionizing cardiovascular drug discovery. In analyzing extensive biomedical data, AI enables the identification of novel patterns and insights that traditional methods may overlook. This facilitates more effective target identification, drug design, and prediction of drug efficacy and safety.
Conclusion: The integration of AI into cardiovascular drug discovery offers substantial potential to overcome existing limitations, streamline the development process, and improve patient outcomes. The book underscores the role of AI in reshaping cardiovascular healthcare and addressing the global burden of CVD.
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Sep 12, 2024
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How to Cite
Imesha Kalansuriya, Rabia Afzaal, Mohit Lakkimsetti, Tariq Rafique, Nimra Kanwal Bhatti, & Dr Avrina Kartika Ririe MD. (2024). AI-DRIVEN INNOVATIONS IN CARDIOVASCULAR DRUG DEVELOPMENT. Journal of Population Therapeutics and Clinical Pharmacology, 31(9), 908-962. https://doi.org/10.53555/8xp0p349
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Author Biographies
Imesha Kalansuriya
Medical Student, Medical University of the Americas, St. Kitts and Nevis
Rabia Afzaal
Assistant Professor, Department of Information Technology, Lahore Garrison University, Pakistan
Mohit Lakkimsetti
MBBS, Mamata Medical College, Khammam, India
Tariq Rafique
Assistant Professor, Dadabhoy Institute of Higher Education, Karachi, Pakistan
Nimra Kanwal Bhatti
Faculty of Rehabilitation and Allied Health Sciences) Riphah International University, Islamabad
Dr Avrina Kartika Ririe MD
MD, Staff, Brain & Heart Center, Mohammad Hoesin General Hospital, Palembang, Indonesia
How to Cite
Imesha Kalansuriya, Rabia Afzaal, Mohit Lakkimsetti, Tariq Rafique, Nimra Kanwal Bhatti, & Dr Avrina Kartika Ririe MD. (2024). AI-DRIVEN INNOVATIONS IN CARDIOVASCULAR DRUG DEVELOPMENT. Journal of Population Therapeutics and Clinical Pharmacology, 31(9), 908-962. https://doi.org/10.53555/8xp0p349