%0 Journal Article %1 journals/is/Formica03 %A Srikanth, Dr. A. V. Padmaja | Anusha Vemulapally | Jampula %D 2024 %J INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT %K Artificial Cardiovascular Challenges Clinical Design Intelligence, Learned, Lessons Medicine, Nuclear Oncology, Optimization, Personalized Pharmacological Sciences, Trends, Trial Trials, %N 1 %P 555-558 %T Personalized eProtocol Design A Data Driven Approach with AI %U https://www.ijtsrd.com/pharmacy//63456/personalized-eprotocol-design-a-datadriven-approach-with-ai/dr-a-v-padmaja %V 8 %X This review explores the transformative potential of Artificial Intelligence AI in reshaping clinical trial methodologies, focusing on cardiovascular and oncological applications. Drawing insights from oncology, the article by C K, KW J, WW T 2019 delves into how AI could redefine clinical trials in cardiovascular medicine. Shifting the paradigm towards personalized medicine, the study highlights lessons learned and prospects for AI integration in cardiovascular research. The article by H, P S, A B, J H 2019 examines the role of AI in clinical trial design, emphasizing trends in pharmacological sciences. The review underscores the evolving landscape of AI applications, emphasizing its impact on optimizing trial design processes. Delso et al. 2021 present a comprehensive guide on designing AI driven clinical trials in Nuclear Medicine. The article addresses key considerations for implementing AI in this specialized field, offering insights into future directions and challenges. Dr. A. V. Padmaja | Anusha Vemulapally | Jampula Srikanth "Personalized eProtocol Design: A Data-Driven Approach with AI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63456.pdf Paper Url: https://www.ijtsrd.com/pharmacy/other/63456/personalized-eprotocol-design-a-datadriven-approach-with-ai/dr-a-v-padmaja

@article{journals/is/Formica03, abstract = {This review explores the transformative potential of Artificial Intelligence AI in reshaping clinical trial methodologies, focusing on cardiovascular and oncological applications. Drawing insights from oncology, the article by C K, KW J, WW T 2019 delves into how AI could redefine clinical trials in cardiovascular medicine. Shifting the paradigm towards personalized medicine, the study highlights lessons learned and prospects for AI integration in cardiovascular research. The article by H, P S, A B, J H 2019 examines the role of AI in clinical trial design, emphasizing trends in pharmacological sciences. The review underscores the evolving landscape of AI applications, emphasizing its impact on optimizing trial design processes. Delso et al. 2021 present a comprehensive guide on designing AI driven clinical trials in Nuclear Medicine. The article addresses key considerations for implementing AI in this specialized field, offering insights into future directions and challenges. Dr. A. V. Padmaja | Anusha Vemulapally | Jampula Srikanth "Personalized eProtocol Design: A Data-Driven Approach with AI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63456.pdf Paper Url: https://www.ijtsrd.com/pharmacy/other/63456/personalized-eprotocol-design-a-datadriven-approach-with-ai/dr-a-v-padmaja }, added-at = {2024-03-08T07:41:34.000+0100}, author = {Srikanth, Dr. A. V. Padmaja | Anusha Vemulapally | Jampula}, biburl = {https://www.bibsonomy.org/bibtex/2b54ed418af541cdbc33780d6962b3dc9/ijtsrd}, ee = {http://dx.doi.org/10.1016/S0306-4379(02)00010-8}, interhash = {4252b087bf33bed1e80586be23d6460b}, intrahash = {b54ed418af541cdbc33780d6962b3dc9}, issn = {2456-6470}, journal = {INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT}, keywords = {Artificial Cardiovascular Challenges Clinical Design Intelligence, Learned, Lessons Medicine, Nuclear Oncology, Optimization, Personalized Pharmacological Sciences, Trends, Trial Trials,}, language = {english}, month = feb, number = 1, pages = {555-558}, timestamp = {2024-03-08T07:41:34.000+0100}, title = {Personalized eProtocol Design A Data Driven Approach with AI }, url = {https://www.ijtsrd.com/pharmacy//63456/personalized-eprotocol-design-a-datadriven-approach-with-ai/dr-a-v-padmaja}, volume = 8, year = 2024 }