3D printing in healthcare: A review on drug printing, challenges and future perspectives

Nizam, Maruf; Purohit, Rajesh; Taufik, Mohammad

doi:10.1016/j.mtcomm.2024.110199

Materials Today Communications

2024

DOI: 10.1016/j.mtcomm.2024.110199

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3D printing in healthcare: A review on drug printing, challenges and future perspectives

Maruf Nizam,

Rajesh Purohit,

Mohammad Taufik

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2024

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Cited by 2 publications

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Materials for 3D printing in healthcare sector: A review

Nizam,

Purohit,

Taufik

2024

Proc Inst Mech Eng H

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Additive Manufacturing (AM) encompasses various techniques creating intricate components from digital models. The aim of incorporating 3D printing (3DP) in the healthcare sector is to transform patient care by providing personalized solutions, improving medical procedures, fostering research and development, and ultimately optimizing the efficiency and effectiveness of healthcare delivery. This review delves into the historical beginnings of AM’s 9 integration into medical contexts exploring various categories of AM methodologies and their roles within the medical sector. This survey also dives into the issue of material requirements and challenges specific to AM’s medical applications. Emphasis is placed on how AM processes directly enhance human well-being. The primary focus of this paper is to highlight the evolution and incentives for cross-disciplinary AM applications, particularly in the realm of healthcare by considering their principle, materials and applications. It is designed for a diverse audience, including manufacturing professionals and researchers, seeking insights into this transformative technology’s medical dimensions.

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Materials for 3D printing in healthcare sector: A review

Nizam,

Purohit,

Taufik

2024

Proc Inst Mech Eng H

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Machine Learning in 3D and 4D Printing of Polymer Composites: A Review

Malashin,

Masich,

Tynchenko

et al. 2024

Polymers

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The emergence of 3D and 4D printing has transformed the field of polymer composites, facilitating the fabrication of complex structures. As these manufacturing techniques continue to progress, the integration of machine learning (ML) is widely utilized to enhance aspects of these processes. This includes optimizing material properties, refining process parameters, predicting performance outcomes, and enabling real-time monitoring. This paper aims to provide an overview of the recent applications of ML in the 3D and 4D printing of polymer composites. By highlighting the intersection of these technologies, this paper seeks to identify existing trends and challenges, and outline future directions.

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3D printing in healthcare: A review on drug printing, challenges and future perspectives

Cited by 2 publications

References 91 publications

Materials for 3D printing in healthcare sector: A review

Materials for 3D printing in healthcare sector: A review

Machine Learning in 3D and 4D Printing of Polymer Composites: A Review

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