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Clinical Trial and Research through Machine Learning. An Analysis Report

Author Name: Atul Bhandari | Format: Paperback | Genre : Reference & Study Guides | Other Details

Clinical trials are human research studies that are used to measure the efficacy of a pharmacological, surgical, or behavioural treatment. They are the main mode by which researchers determine if a novel therapy, such as a new medication, food, or medical attention, is medically beneficial in humans.There are numerous challenges with clinical
research as the cost incurred is quite high with the success rate being low and the failure in selection of right kind of personnel for the trial with not proper technical infrastructure. So Machine Learning can play a crucial role in this regard as it can contribute to varied aspects of clinical trial from studying the design to monitoring, site selection and identification for the recruitment of patients and last but not the least in drug safety as well.Machine learning has a variety of uses in clinical trials from recruitment of patients to the design of clinical trial and further its optimization. There is
quite a scope in clinical trial and research through machine learning techniques

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Atul Bhandari

Atul Bhandari is a Research scholar at Graphic Era Deemed to be University and currently Assistant Professor in JBIT. He has a rich academic experience and has been Assistant Professor in Graphic Era Hill University, Tula’s Institute and Beehive College in the past. His research area includes Machine Learning and Wireless Sensor Networks. He has also attended various Faculty Development Programmes and workshops in Data Science and latest Computer Science technologies. Moreover, he also has rich professional experience in IT companies and has expertise in Software Development with C#.NET, LINQ to SQL and has high proficiency over Microsoft Visual Studio, SQL Server, DevExpress Experience, Microsoft Blend Expression and ASP.NET Façade Architecture He has done projects titled FLEET MANAGEMENT CENTRE and CIVIL HIRE TRANSPORT (CHT) and FLEET MANAGEMENT CENTRE for the Indian Army and COLLEGE MANAGEMENT SYSTEM for a Software Company. Moreover, he has passed the exams on C Programming and SciLab conducted remotely from IIT Bombay. His vision is to implement his knowledge and personal skills to the success of research.


Aryan Chaudhary is the Research Head and lead member (the research project launched by Nijji Healthcare Pvt Ltd). He focuses on implementing technologies such as artificial intelligence, deep learning, IoT (Internet of
Things), cognitive technology, and the blockchain to better the healthcare sector. He has published academic papers in public health and digital health in international journals and participated as a keynote speaker in many
international and national conferences. His research includes the integration of IoT and sensor technology for gathering vital signs through one time/ambulatory monitoring and then the functionality of Artificial Intelligence, Machine Learning leading to big data analytics for faster intervention, tracking of prognosis and research on these vast data for
effective clinical research for future development of treatment, drug, pathological tests and supply system He is editor of many books in Biomedical Science and the Chief Editor of CRC Series. He also serves as the guest editor of many special issues in reputed journals. He has been awarded with Most Inspiring Young Leader in Healthtech Space 2022 by
Business Connect and the best project leader Global Education and Corporate Leadership

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