1st Edition
Artificial Intelligence for Cardiovascular Disease Advances in Treatment
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 and Future Perspectives
6. AI-Based Methods and Their Applications for the Diagnosis and Detection of Cardiovascular Disease
7. Prediction of Cardiovascular Disease Using AI
Biography
Rishabha Malviya, PhD, is an Associate Professor of Pharmacy in the School of Medical and Allied Sciences, Galgotias University, India. He has authored over 200 papers in national and international journals and published over 55 patents. He has edited over 45 books and authored more than 30 book chapters. He has been included in the Stanford University’s World’s Top 2% Scientists, 2020 by Elsevier BV and Stanford University. 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.
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, MBBS, is an Assistant Professor of Cardiovascular Technology at Galgotias University, India. She has previously worked as a Resident Medical Officer at Chettinad Medical Centre, VIT Vellore Campus, and VIT, Vellore Campus, India. In addition, she has gained international experience as a Senior House Officer (Accident & Emergency) at King George Hospital in Essex, UK. Her innovative work has led to the filing of patents, including "Cerbro Ondular Transferring Device,” co-developed with colleagues, as well as the "Smart COVID Mask," a collaborative effort with several other researchers.
