Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks.
Features:
Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care.
Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery.
Summarizes several strategies, analyses, and optimization methods for patient healthcare.
Focuses on drug discovery and development by cloud computing and data-driven research
The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic, Postgraduate, and Professional
Illustrationen
20 s/w Tabellen, 40 s/w Abbildungen, 11 s/w Photographien bzw. Rasterbilder, 29 s/w Zeichnungen
20 Tables, black and white; 29 Line drawings, black and white; 11 Halftones, black and white; 40 Illustrations, black and white
Maße
Höhe: 254 mm
Breite: 178 mm
Dicke: 13 mm
Gewicht
ISBN-13
978-1-032-12937-2 (9781032129372)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Dr. Rishabha Malviya completed B. Pharmacy from Uttar Pradesh Technical University and M. Pharmacy (Pharmaceutics) from Gautam Buddha Technical University, Lucknow Uttar Pradesh. His PhD (Pharmacy) work was in the area of Novel formulation development techniques. He has 11 years of research experience and presently working as Associate Professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University since past 8 years. His area of interest includes 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.
Dr. Pramod Kumar Sharma has done his M. Pharm and PhD from Jadavpur University, Kolkata, India. He has around 27 years of teaching, Research and administrative experience. He has guided more than 50 M. Pharm and 10 PhD students. Currently he is working as a Dean School of Medical and Allied Sciences, Galgotias University, Greater Noida, India. He has more than 150 National and International publications in prestigious journals. He has 8 patents in his credit. He has authored 8 books and 6 book chapters.
Sonali Sundram completed B. Pharm & M. Pharm (pharmacology) from AKTU, Lucknow. She has worked as research scientist in project of ICMR in King George's Medical University, Lucknow after that she has joined BBDNIIT and currently she is working in Galgotias university, Greater Noida. Her PhD (Pharmacy) work was in the area of Neurodegeneration and Nanoformulation. Her area of interest is neurodegeneration, clinical research, artificial intelligence. She has attended as well organized more than 15 national and international seminar/conferences/workshop. She has more than 8 patents in her credit.
Dr Rajesh Kumar Dhanaraj is an Associate Professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He holds a PhD degree in Information and Communication Engineering from the Anna University Chennai, India. He has contributed 20+ books on various technologies and 35+ articles and papers in various refereed journals and international conferences and contributed chapters to the books. His research interests include Machine Learning, Cyber-Physical Systems and Wireless Sensor Networks. He is an Expert Advisory Panel Member of Texas Instruments Inc USA.
Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 14 years of experience with VIT University, Vellore. He had completed his Bachelors, Masters and PhD Degrees from Top premier institutions from India. His passion is teaching and 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 several top-notch conferences in his resume and has published over 150 of quality journal, conference and book chapters combined. He serves in the advisory committee for several startups and forums and does consultancy work for industry on Industrial IOT. He has given over 175 talks in various events and symposium. He is currently working as a professor at Galgotias University and teaches students, does research on Blockchain and IOT.
Herausgeber*in
Galgotias Uni.
Galgotias Uni.
Galgotias Uni., Gr Noida
Shiv Nadar Uni.
Chapter 1: The Role of Bioinformatics Tools and Technologies in Clinical Trials. Chapter 2: Bioinformatics Tools and Software in Clinical Research. Chapter 3: Computational Biology for Clinical Research. Chapter 4: Issues and Challenges Related to Clinical Bioinformatics Tools for Clinical Research. Chapter 5: Artificial Intelligence: An Emerging Technique in Pharmaceutical and Healthcare Systems. Chapter 6: Artificial Intelligence in Healthcare and Its Application in Brain Stroke Diagnosis. Chapter 7: Computational Cloud Infrastructure for Patient Care. Chapter 8: Advancement in Gene Delivery: The Role of Bioinformatics. Chapter 9: Drug Development Using Cloud Application. Chapter 10: Cloud Application in Drug Development. Chapter 11: Framework for Handling Medical Data in Research.
