Optimizing Solid Microneedle Design: A Comprehensive ML-Augmented DOE Approach-Reference-Cited by-同舟云学术

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Optimizing Solid Microneedle Design: A Comprehensive ML-Augmented DOE Approach

Published:2024-08-06 Issue: Volume: Page:
ISSN:2694-250X
Container-title:ACS Measurement Science Au
language:en
Short-container-title:ACS Meas. Sci. Au

Author:

Abdullah Ahmed Choukri¹^ORCID,Ahmadinejad Erfan¹^ORCID,Tasoglu Savas¹²³⁴⁵^ORCID

Affiliation:

1. Department of Mechanical Engineering, Koç University, Sariyer, Istanbul 34450, Turkiye

2. Koc University Is Bank Artificial Intelligence Lab (KUIS AILab), Koç University, Sariyer, Istanbul 34450, Turkiye

3. Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey

4. Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Çengelköy, Istanbul 34684, Turkiye

5. Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Sariyer, Istanbul 34450, Turkiye

Funder

Royal Academy of Engineering

H2020 Marie Sklodowska-Curie Actions

Bilim Akademisi

Alexander von Humboldt-Stiftung

T?rkiye Bilimsel ve Teknolojik Arastirma Kurumu

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsmeasuresciau.4c00021

Reference67 articles.

1. Development of SU-8 hollow microneedles on a silicon substrate with microfluidic interconnects for transdermal drug delivery

2. Nanocomposite for transdermal drug delivery

3. Microneedles in Drug Delivery: Progress and Challenges

4. Microneedles: materials, fabrication, and biomedical applications

5. Hydrogel‐Forming Microneedles: Current Advancements and Future Trends

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