Daily Archives: June 3, 2025

Authors: Dr. Ashwin Kumar

Abstract: Artificial Intelligence (AI) is revolutionizing clinical trial participant recruitment by automating and optimizing key processes such as eligibility screening, patient matching, and engagement. Traditional recruitment methods face challenges including time-consuming manual efforts, low enrollment rates, and demographic disparities, which delay trials and increase costs. AI technologies—such as machine learning, natural language processing, predictive analytics, and chatbots—enable efficient analysis of complex patient data from electronic health records and other sources, improving recruitment speed, accuracy, and inclusivity. While AI-driven recruitment offers significant benefits like reduced timelines, enhanced patient retention, and cost savings, it also raises ethical and regulatory concerns including data privacy, algorithmic bias, and transparency. Future developments integrating real-world data, explainable AI, and digital health platforms promise to further advance recruitment practices. This article reviews the current applications, benefits, challenges, and future directions of AI in clinical trial participant recruitment, highlighting its potential to transform clinical research and accelerate medical innovation.

DOI: http://doi.org/10.61137/ijsret.vol.11.issue3.128

 

 

Published by: vikaspatanker

Authors: Dr. Harika Prasad

Abstract: AI technologies are transforming medication adherence by enabling personalized, real-time interventions that address the complex factors influencing patients’ ability to follow prescribed regimens. By leveraging machine learning, predictive modeling, natural language processing, and data integration from diverse sources—including electronic health records, wearable devices, and patient-reported outcomes—AI systems can monitor adherence patterns, predict patients at risk of non-compliance, and deliver tailored reminders and support through virtual health coaches and chatbots. These innovations improve patient engagement, facilitate early intervention, and empower healthcare providers with actionable insights, ultimately enhancing treatment outcomes and reducing healthcare costs. However, successful implementation requires careful consideration of ethical, privacy, and regulatory challenges to ensure fairness, transparency, and patient trust. As AI continues to evolve, its integration into medication adherence management promises to revolutionize personalized care, offering scalable solutions that improve quality of life for millions worldwide.

DOI: http://doi.org/10.61137/ijsret.vol.11.issue3.127

 

 

Published by: vikaspatanker

Authors: Vishal Garad, Dr. Quazi khabeer, Dr. A. A. Khan, Dr. R. S. Deshpande

 

 

Abstract: Cloud computing has transformed the business and industry operations by providing scalable, flexible, and cost- efficient data storage, processing, and access solutions.The paper discusses the revolutionary effects of cloud computing on business processes and its benefits, challenges, and future trends. It identifies the contributions of cloud technologies to enhanced operational efficiency, innovation, and sustainable practices.Index Terms—Cloud Computing, Scalability, Operational Efficiency, Security, Cost-Effectiveness, Future Trends.

DOI: http://doi.org/

 

 

Published by: vikaspatanker