Titlebook: Regenerative Medicine; Emerging Techniques Nishant Chakravorty,Praphulla Chandra Shukla Book 2023 The Editor(s) (if applicable) and The Au

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The Prospects of RNAs and Common Significant Pathways in Cancer Therapy and Regenerative Medicine,se regenerative processes and vice versa may modulate the initiation or inhibition of carcinogenesis. This chapter thus focuses on categorically identifying and exploring the molecules, molecular pathways and their respective roles in both cancer development and regeneration, and on delineating them

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Regeneration and Tissue Microenvironment,cing, engineering, or regenerating human cells, tissues, or organs to restore or reestablish normal function. The identification and understanding of the precise roles of the different players in the tissue microenvironment and unraveling the minimal and exact set of biophysical and biochemical cues

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Role of Biosensors in Regenerative Therapeutics: Past, Present, and Future Prospects,oninvasive technologies to assess differentiation state in stem cell-based therapies is highly coveted and could be extremely beneficial. Different biosensing techniques are available for sensing different molecules. In this chapter, we will briefly discuss about regenerative therapeutics and its re

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Hydrogel-Based Tissue-Mimics for Vascular Regeneration and Tumor Angiogenesis,l as tumor angiogenesis are described. A wide range of hydrogel-based models (including natural, synthetic and hybrid materials) and associated biofabrication strategies (spanning molecular design to macroscale materials processing) for creating vascularized scaffolds are elaborated. Overall, this c

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Regenerative Approaches in the Nervous System,s. Among these, interdisciplinary approaches integrating neurobiology, material sciences, electrophysiology, computer interfaces and advanced robotics all come together to repair and restore the injured nervous system, and thereby redefine our understanding and concepts of regenerative medicine. In

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Understanding LncRNAs in Biomaterials Development for Osteointegration,te the distinct clot-derived LncRNA expression profiles. Moreover, LncRNAs LOC103346307, LOC103352121, LOC108175175, LOC103348180, LOC108176660, and LOC108176465 are identified as the pivotal players in the early formed clots on the nano-scaled surfaces. Further bioinformatic prediction indicates th

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