DS
Arvind Kumar Shukla
Pusan National University, Dr. D.Y. Patil Vidyapeeth, Pune, Mumbai University
About
Dr. Arvind Kumar Shukla is working on the molecular mechanism of cancer stem cells' biology. He is the main focus in the Biofabrication of functional tissue/organs development by 3D Bioprinting, OOC with a study on Stem cells & Cancer signaling pathways and also focuses on various cancer drugs delivery, which are used tested clinically for treatment. Email ID: [email protected]
Employment
-
Pusan National University Researcher2020 - 2025
Education
-
Dr. D.Y. Patil Vidyapeeth, Pune Master of Business Administration (MBA): Health Care Management2022 - 2024
-
Mumbai University B.Sc. Zoology and Environmental Science2008 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (43)
- Polymer-Enabled Additive Manufacturing for Personalized Drug Delivery and Diagnostic Platforms: Materials, Architectures, Quality Control and Clinical Translation Save
- The Impact of COVID-19 on Psychological Disorders Save
- Farnesol as a Multifunctional Regulator of Fungal Biology: Mechanisms and Significance Save
- Advancing Neurovascular Model Engineering with Integrated 3D Bioprinting and Microfluidic Chips for Study of Neurovascular and Neurodegenerative Disease Pathophysiology Save
- Oncogenic EGFR Signaling as a Central Regulator of Chemoresistance in Ovarian Cancer: A Mechanistic Review Save
- Advances in Diagnosis and Management of Diabetes in Children and Adults with Focus on Drugs, Insulin, and Dietary Interventions Save
- Integrated CRISPR-Cas9 and 3D Bioprinting Approach for Development and Evaluation of High-Throughput Advanced Organotypic Cancer Models Save
- Exploring the angiogenic potential of skin patches with endothelial cell patterns fabricated via in-bath 3D bioprinting using light-activated bioink for enhanced wound healing Save
- Managing the Psychological Impact of Brain Fog-Related Symptoms in Individuals with Post-COVID-19 Infection Save
- Integrating 3D Bioprinting with Organoid Technology-Based Breast Cancer Models for Drug Evaluation Save