Deepa Muthiah, Rishabha Malviya, Shivam Rajput
Artificial Intelligence for Cardiovascular Disease
Advances in Treatment
Deepa Muthiah, Rishabha Malviya, Shivam Rajput
Artificial Intelligence for Cardiovascular Disease
Advances in Treatment
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Discusses use of nanoparticles as nanofertifilizers and their applications in agricultural science. Summarizes research and importance of nanotechnology in abiotic stress tolerance in crop plants, its various applications in crop growth enhancement under different stress conditions, and the uses of various nanoparticles.
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Discusses use of nanoparticles as nanofertifilizers and their applications in agricultural science. Summarizes research and importance of nanotechnology in abiotic stress tolerance in crop plants, its various applications in crop growth enhancement under different stress conditions, and the uses of various nanoparticles.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Apple Academic Press Inc.
- Seitenzahl: 222
- Erscheinungstermin: 1. April 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781774918364
- ISBN-10: 1774918366
- Artikelnr.: 72005062
- Verlag: Apple Academic Press Inc.
- Seitenzahl: 222
- Erscheinungstermin: 1. April 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781774918364
- ISBN-10: 1774918366
- Artikelnr.: 72005062
Rishabha Malviya, PhD, has 11 years of research experience and is presently working as Associate Professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, India. 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 200 research and review papers for national and international journals of repute. He has over 55 patents to his name and many publications in reputed national and international journals (with a total of 225 cumulative impact factor). He has also received an Outstanding Reviewer Award from Elsevier. He has edited over 45 books (Wiley, Springer Nature, CRC Press/Taylor and Francis, Apple Academic Press, River Publisher, Lambert, etc.) and authored more than 30 book chapters. His name has been included in the Stanford University's World's Top 2% Scientists, 2020 by Elsevier BV and Stanford University. He is reviewer, editor, and editorial board member of more than 50 national and international journals. He was an invited author for the magazine Atlas of Science as well as a pharma magazine dealing with the B2B industry, Ingredients South Asia. He completed his BPharm at Uttar Pradesh Technical University and MPharm (Pharmaceutics) at Gautam Buddha Technical University, Lucknow, Uttar Pradesh, India. His PhD (Pharmacy) work was in novel formulation development techniques. Shivam Rajput, MPharm, completed his bachelor's in Pharmacy at Pt. B. D. Sharma University of Health Sciences, Rohtak, and his master's at Galgotias University, Greater Noida, India. He has presented many papers in national and international conferences. He has also authored six SCI/Scopus papers with a more than 10 cumulative impact factor. Deepa Muthiah, PhD, is an Assistant Professor specializing in general medicine in the Department of Cardiovascular Technology at Galgotias University, India, where she has been since January 2018. She has previously worked as a Resident Medical Officer at Chettinad Medical Centre, VIT Vellore Campus, and VIT, Vellore Campus, India. In additional, she has gained international experience as a Senior House Officer (Accident & Emergency) at King George Hospital in Essex, UK. Dr. Muthiah has been recognized for her contributions to research, receiving the Galgotias University Research Award in both 2019 and 2020. Her innovative work has led to the filing of patents, including ""Cerbro Ondular Transferring Device," co-developed with Dr. B. Balamurugan, G. Subha Keerthana, and Dr. R. Senthil Kumar, as well as the ""Smart COVID Mask,"" a collaborative effort with several other researchers. Dedicated to academic advancement, she has presented her research findings at international conferences, such as the 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). She has also participated in various faculty development programs (FDPs), including those organized by Galgotias University and the National Intellectual Property Awareness Mission. A member of prestigious professional organizations, Dr. Muthiah is associated with the Indian Medical Association, Tamil Nadu Medical Council, and Karnataka Medical Council. Her commitment to advancing medical knowledge and practice is evident in her research papers published in renowned journals.
1. Introduction to Artificial Intelligence and Its Role in Cardiovascular
Disease 2. Artificial Intelligence-Assisted Wearables for Cardiovascular
Disease Monitoring 3. Imaging Biomarkers for Cardiovascular Disease and the
Role of AI 4. Artificial Intelligence and Machine Learning for the
Treatment of Cardiovascular Disease 5. Advancement in Treatment of
Cardiovascular Disease by AI: Future Perspectives 6. AI-Based Methods and
Their Applications for the Diagnosis and Detection of Cardiovascular
Disease 7. Prediction of Cardiovascular Disease Using AI
Disease 2. Artificial Intelligence-Assisted Wearables for Cardiovascular
Disease Monitoring 3. Imaging Biomarkers for Cardiovascular Disease and the
Role of AI 4. Artificial Intelligence and Machine Learning for the
Treatment of Cardiovascular Disease 5. Advancement in Treatment of
Cardiovascular Disease by AI: Future Perspectives 6. AI-Based Methods and
Their Applications for the Diagnosis and Detection of Cardiovascular
Disease 7. Prediction of Cardiovascular Disease Using AI
1. Introduction to Artificial Intelligence and Its Role in Cardiovascular
Disease 2. Artificial Intelligence-Assisted Wearables for Cardiovascular
Disease Monitoring 3. Imaging Biomarkers for Cardiovascular Disease and the
Role of AI 4. Artificial Intelligence and Machine Learning for the
Treatment of Cardiovascular Disease 5. Advancement in Treatment of
Cardiovascular Disease by AI: Future Perspectives 6. AI-Based Methods and
Their Applications for the Diagnosis and Detection of Cardiovascular
Disease 7. Prediction of Cardiovascular Disease Using AI
Disease 2. Artificial Intelligence-Assisted Wearables for Cardiovascular
Disease Monitoring 3. Imaging Biomarkers for Cardiovascular Disease and the
Role of AI 4. Artificial Intelligence and Machine Learning for the
Treatment of Cardiovascular Disease 5. Advancement in Treatment of
Cardiovascular Disease by AI: Future Perspectives 6. AI-Based Methods and
Their Applications for the Diagnosis and Detection of Cardiovascular
Disease 7. Prediction of Cardiovascular Disease Using AI