1st Edition
Big Data in Oncology: Impact, Challenges, and Risk Assessment
We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes, transcriptomes, clinical data, and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be analyzed, leading to the generation of readable files. The possibility of harnessing information from all the accumulated data leads to an improvement in cancer patient treatment and outcome. Solving the big data problem in oncology has multiple facets. Big data in Oncology: Impact, Challenges, and Risk Assessment brings together insights from emerging sophisticated information and communication technologies such as artificial intelligence, data science, and big data analytics for cancer management.
This book focuses on targeted disease treatment using big data analytics. It provides information about targeted treatment in oncology, challenges and application of big data in cancer therapy.
- Recent developments in the fields of artificial intelligence, machine learning, medical imaging, personalized medicine, computing and data analytics for improved patient care.
- Description of the application of big data with AI to discover new targeting points for cancer treatment.
- Summary of several risk assessments in the field of oncology using big data.
- Focus on prediction of doses in oncology using big data
The most targeted or relevant audience is academics, research scholars, health care professionals, hospital management, pharmaceutical chemists, the biomedical industry, software engineers and IT professionals.
1. Big Data Analysis – A New Revolution in Cancer Management
2. Implications of Big Data in the Targeted Therapy of Cancer
3. Big Data and Precision Oncology in Healthcare
4. Big Data in Oncology: Extracting Knowledge from Machine Learning
5. Impact of Big Data on Cancer Care and Research
6. Big Data in Disease Diagnosis and Healthcare
7. Big Data as a Source of Innovation for Disease Diagnosis
8. Various Cancer Analyses Using Big Data Analysis Technology – An Advanced Approach
9. Dose Prediction in Oncology Using Big Data
10. Big Data in Drug Discovery, Development and Pharmaceutical Care
11. Targeted Drug Delivery in Cancer Tissue by Utilizing Big Data Analytics
12. Risk Assessment in the Field of Oncology Using Big Data
13. Challenges for Big Data in Oncology
Biography
Dr. Neeraj Kumar Fuloria is presently working as senior associate professor at the Faculty of Pharmacy, AIMST University, Malaysia. He has extensive experience, with 20 years in academics, research and industry. He completed his B.Pharm in 1998 (Gulbarga University, India), M.Pharm in 2003 (Rajiv Gandhi University Health Sciences, India), MBA in 2004 (Madurai Kamaraj University, India), and Ph.D. in Pharmacy in 2010 (Gautam Buddha Technical University, India). So far, he has supervised 6 Postgraduate and 24 undergraduate research scholars, and is currently supervising 6 Ph.D. scholars. He has published 96 research and review articles, 4 books, 3 MOOC, and 2 patents (Australia). For his research work Dr. Fuloria has received 8 national and international grants. He is also a member of various professional bodies like the Indian Society of Analytical Scientists and the NMR Society of India. Apart from his work in academics and research Dr. Fuloria has received various awards such as Inspirational Scientist Award 2020 (at Trichy, India), Young Achiever Award 2019 (at 10th Indo-Malaysian Conference, India), and an Appreciation Award 2017 (at the Teachers Award Ceremony of Kedah State Malaysia, at AIMST University, Malaysia).
Dr. Rishabha Malviya completed his B.Pharm from Uttar Pradesh Technical University and M.Pharm (Pharmaceutics) from Gautam Buddha Technical University, Lucknow Uttar Pradesh. His Ph.D. (Pharmacy) work was in the area of novel formulation development techniques. He has 11 years of research experience and has been working as associate professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University for the past eight years. His areas of interest include formulation optimization, nanoformulation, targeted drug delivery, localized drug delivery, and characterization of natural polymers as pharmaceutical excipients. He has authored more than 150 research/review papers for national/international journals of repute. He is editorial board member/reviewer of more than 40 journals. More than 10 patent grants from different countries are in his credit while 40 patents are published/under evaluation.
Swati Verma completed her B.Pharm from KIET (AKTU), Ghaziabad and M. Pharm (pharmaceutical chemistry) from Banasthali Vidyapith, Tonk, Rajasthan. She has joined BBDNIIT as assistant professor and is currently working in Galgotias University, Greater Noida. Her area of interest is computer aided drug design (CADD), peptide chemistry, analytical chemistry, medicinal chemistry, artificial intelligence, neurodegeneration, and gene therapy. She has attended and organized more than 15 national and international seminars/conferences/workshops.
Professor Balamurugan Balusamy has served up to the position of associate professor in his stint of 14 years of experience with VIT University, Vellore. He completed his Bachelors, Masters and Ph.D. degrees at top premier institutions in India. His passion is teaching and he adapts different design thinking principles while delivering his lectures. He has published 30+ books on various technologies and visited 15 plus countries for his technical course. He has published over 150 quality journal, conference and book chapters. He serves on the advisory committee for several startups and forums and does consultancy work for industry on industrial IOT. He has given over 175 talks at various events and symposiums. He is currently working as a professor at Galgotias University and teaches students and does research on Blockchain and IOT.
