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Saurav Mallik

Saurav MallikDr. Saurav Mallik is a Research Scientist in the Department of Pharmacology and Toxicology at The University of Arizona, USA. He previously served as a Postdoctoral Fellow at Harvard T.H. Chan School of Public Health (2019-2022) and held positons at the University of Texas Health Science Center at Houston (2018-2019) and the University of Miami Miller School of Medicine (2017-2018). Dr. Mallik earned his PhD in Computer Science and Engineering from Jadavpur University, India, in 2017, conducting research at the Indian Statistical Institute. He received a Research Associateship from CSIR, India, in 2017. With over 150 publications in high-impact journals, he has authored several books and patents. Dr. Mallik is an active member of IEEE, ACM, AACR, and Bioclues, and has collaborated with editors and reviewers for prestigious journals. His research focuses on Computational Biology, Bioinformatics, Bio-Statistics, and Machine Learning. Read More Read Less

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Computer Vision in Healthcare
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AED632
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Release:
21 Jan 2026
Language:
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2.
Feature Selection and Feature Extraction on Omics Data
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Machine Learning in Healthcare
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Drug Discovery and Telemedicine
Publisher: De Gruyter
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AED284
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Release:
22 Sep 2025
Language:
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AI and Data Engineering for Healthcare
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Autonomous Flying Ad-Hoc Networks
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AED734
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Release:
10 Oct 2025
Language:
English
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Using Blockchain Technology in Healthcare Settings
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AED201
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23 Mar 2025
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Using Blockchain Technology in Healthcare Settings
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AED600
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Release:
23 Mar 2025
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Swarm Optimization for Biomedical Applications
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Applications of Computational Learning and IoT in Smart Road Transportation System
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Landscape of Next Generation Sequencing Using Pattern Recognition
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Internet of Things and Data Mining for Modern Engineering and Healthcare Applications
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Healthcare Services in the Metaverse
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AED400
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Release:
02 May 2024
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Internet of Things and Data Mining for Modern Engineering and Healthcare Applications
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16.
Robotics in Weaponry using Machine Learning and Engineering
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Robotics in Weaponry using Machine Learning and Engineering
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Robotics in Weaponry using Machine Learning and Engineering
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Advanced Explorations in Machine Learning, Computer Vision, and IoT
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Explainable AI in Clinical Practice
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