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Cancer: Clinical Trial Design and Principles

Cancer: Clinical Trial Design and Principles
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Author(s): Rashi Rai (Amity University, Noida, India), Prudhvilal Bhukya (National Institute of Virology (ICMR), Pune, India), Muneesh Kumar Barman (Laboratory for HIV Research, National Centre for Cell Sciences, Pune, India), Meenakshi Singh (Transplant Immunology and Immunogenetics Lab (HLA), ACTREC, Tata Memorial Centre, India), Kailash Chand (National Centre for Cell Sciences, Pune, India), Subash C. Sonkar (Multidisciplinary Research Unit, Department of Biochemistry, New Delhi, India) and Manjita Srivastava (National Institute of Virology (ICMR), India)
Copyright: 2021
Pages: 12
Source title: Handbook of Research on Advancements in Cancer Therapeutics
Source Author(s)/Editor(s): Sumit Kumar (National Institute of Pathology, New Delhi, India), Moshahid Alam Rizvi (Jamia Millia Islamia, India) and Saurabh Verma (National Institute of Pathology, India)
DOI: 10.4018/978-1-7998-6530-8.ch024


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Clinical trials are essential to govern the impact of a new possible treatment. It is utilized to determine the safety level and efficacy of a certain treatment. Clinical trial studies in cancer have provided successful treatment leading to longer survival span in the patients. The design of clinical trials for cancer has been done to find new ways to prevent, diagnose, treat, and manage symptoms of the disease. This chapter will provide detailed information on different aspects of clinical trials in cancer research. Protocols outlining the design and method to conduct a clinical trial in each phase will be discussed. The process and the conditions applied in each phase (I, II, and III) will be described precisely. The design of trials done in every aspect such as prevention, immunochemotherapy, diagnosis, and treatment to combat cancer will be illustrated. Also, recent innovations in clinical design strategies and principles behind it as well as the use of recent advances in artificial intelligence in reshaping key steps of clinical trial design to increase trial success rates.

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