Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Additive manufacturing (AM) has emerged as a transformative technology in personalized healthcare, particularly through its applications in targeted drug delivery and the development of microphysiological systems, potentiating a paradigm shift in healthcare towards a personalized intervention. This article explores how AM techniques, such as 3D printing, enable the creation of highly customized drug delivery systems and complex microphysiological models that can be translated into personalized healthcare solutions. By leveraging the precision and versatility of A, researchers and clinicians can design drug delivery vehicles attuned to patient needs, enhancing therapeutic efficacy and minimizing side effects. Additionally, AM facilitates the development of sophisticated microphysiological systems that simulate human tissues and organs, offering invaluable tools for drug testing, surgical planning, disease modelling, and personalized organ transplantation. This review discusses the latest advancements in such AM technologies, highlights key challenges and opportunities in integrating AM with personalized healthcare, and envisions future directions for research and clinical applications. Through a detailed examination of current methodologies and case studies, the article underscores the potential of AM to revolutionize personalized medicine by providing more effective, individualized treatment solutions and improving our understanding of futuristic healthcare.
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Source |
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http://dx.doi.org/10.1039/d5tb01170a | DOI Listing |