Výsledky vyhledávání - "Safa A. Damiati"

Akademický článek

Microfluidic Synthesis of Indomethacin-Loaded PLGA Microparticles Optimized by Machine Learning

Publikováno v: Frontiers in Molecular Biosciences, Vol 8 (2021)

Several attempts have been made to encapsulate indomethacin (IND), to control its sustained release and reduce its side effects. To develop a successful formulation, drug release from a polymeric matrix and subsequent biodegradation need to be achiev

Externí odkaz: https://doaj.org/article/46afbe09be624926bf781b4a7ba1f807

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List of contributors

Autor: Khalid J. Alzahrani, Sangram Bagh, Carlos Barreiro, Upasana Basu, Gargi Bhattacharjee, Juan Luis Blazquez-Roman, Logan R. Burrington, Pablo Carbonell, Nils Chapin, Numaan Cheema, Alaksh Choudhury, Laila A. Damiati, Safa A. Damiati, Samar Damiati, Shalini S. Deb, Archit Devarajan, Debarun Dhali, Gurneet K. Dhanoa, Carrie A. Eckert, Francisco J. Enguita, Tamás Fehér, Jake Flood, Emily F. Freed, Ashok Ganesan, Carlos García-Estrada, Seyedkhashayar Ghavami, Nisarg Gohil, Dhwani Gupta, Margaret Habib, Nedim Hacıosmanoğlu, Susu He, Seok Hoon Hong, Ali Yazdizadeh Kharrazi, Boris Kirov, İlkay Çisil Köksaldi, Sıla Köse, Shashi Kumar, Srinivasan Ganesh Kumar, Büşra Merve Kırpat, Maria Priscila Lacerda, Navya L. Lam, Ana Lúcia Leitão, Liya Liang, Rongming Liu, Indra Mani, Rupesh Maurya, Georgi Y. Miloshev, Kushika Mitra, Nihal Mohammed, Christian Møller-Olsen, Julian Ostaku, Lozena A. Otcheva, Javin P. Oza, Gökçe Özkul, Shilpa Pal, Amir Pandi, Dimitris Papamichail, Georgios Papamichail, Subha Sankar Paul, Nikolet Pavlova, Robert Penchovsky, Slavil Peykov, Mara Pisani, Katya B. Popova, Shamlan M.S. Reshamwala, Antonia P. Sagona, Behide Saltepe, Kathakali Sarkar, Ana Serratosa Fernandez-Baca, Ashima Sharma, Velia Siciliano, Mansoor A. Siddiqui, Vijai Singh, Kevin Smith, Heykel Trabelsi, Martina Traykovska, Aikaterini Valsamatzi-Panagiotou, Elizabeth J. Vojvoda, Dong-Dong Yang, Yazen Yaseen, Merve Yavuz, Syed Shams Yazdani, Amir Zare, Urartu Özgür Şafak Şeker

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::734db77d195e15077c8dde45c0ed1c85
https://doi.org/10.1016/b978-0-12-824469-2.00038-5

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Developments in the use of microfluidics in synthetic biology

Autor: Laila A. Damiati, Safa A. Damiati, Samar Damiati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::48ea4756f43fe036e049e3ec68b435c6
https://doi.org/10.1016/b978-0-12-824469-2.00025-7

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Role of polymers in microfluidic devices

Autor: Laila A. Damiati, Marwa El-Yaagoubi, Safa A. Damiati, Rimantas Kodzius, Farshid Sefat, Samar Damiati

Publikováno v: Polymers, Basel : MDPI, 2022, vol. 14, no. 23, art. no. 5132, p. [1-19]

Polymers are sustainable and renewable materials that are in high demand due to their excellent properties. Natural and synthetic polymers with high flexibility, good biocompatibility, good degradation rate, and stiffness are widely used for various

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d71c4d9e2435f3b615458d3140ac2da2
https://repository.vu.lt/VU:ELABAPDB153105262&prefLang=en_US

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Microfluidic Synthesis of Indomethacin-Loaded PLGA Microparticles Optimized by Machine Learning

Autor: Samar Damiati, Safa A. Damiati

Publikováno v: Frontiers in Molecular Biosciences
Frontiers in Molecular Biosciences, Vol 8 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f516984dc23009804e44f79411afa075
http://europepmc.org/articles/PMC8493061

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Artificial intelligence application for rapid fabrication of size-tunable PLGA microparticles in microfluidics

Autor: Damiano Rossi, Safa A. Damiati, Haakan N. Joensson, Samar Damiati

Publikováno v: Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)

In this study, synthetic polymeric particles were effectively fabricated by combining modern technologies of artificial intelligence (AI) and microfluidics. Because size uniformity is a key factor that significantly influences the stability of polyme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee16f3bc6be476b6b923a88590d91d88
http://europepmc.org/articles/PMC7658240

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Digital Pharmaceutical Sciences

Autor: Safa A. Damiati

Publikováno v: AAPS PharmSciTech

Artificial intelligence (AI) and machine learning, in particular, have gained significant interest in many fields, including pharmaceutical sciences. The enormous growth of data from several sources, the recent advances in various analytical tools, a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bcfe388ce27a740380c600a64aa0ef0
http://europepmc.org/articles/PMC7382958

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Albumin-bound nanodiscs as delivery vehicle candidates: Development and characterization

Autor: Samar Damiati, Safa A. Damiati, Bernhard Schuster, Andrea Scheberl, Sonja Zayni, Uday B. Kompella

Publikováno v: Biophysical chemistry. 251

Development of synthetic bioarchitectures to improve our understanding of biological systems and produce biosynthetic models with new functions has attracted substantial interest. Synthetic HDL-like phospholipid nanodiscs are a relatively new model o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb4ecf5014c6563a7a86aa2d000cb1c1
https://pubmed.ncbi.nlm.nih.gov/31102749

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Application of machine learning in prediction of hydrotrope-enhanced solubilisation of indomethacin

Autor: Luigi G. Martini, Norman W. Smith, David J. Barlow, M. Jayne Lawrence, Safa A. Damiati

Publikováno v: Damiati, S A, Martini, L G, Smith, N W, Lawrence, J & Barlow, D J 2017, ' Application of machine learning in prediction of hydrotrope-enhanced solubilisation of indomethacin ', INTERNATIONAL JOURNAL OF PHARMACEUTICS, vol. 530, no. 1-2, pp. 99-106 . https://doi.org/10.1016/j.ijpharm.2017.07.048

Systematic in-vitro studies have been conducted to determine the ability of a range of 10 potential hydrotropes to improve the apparent aqueous solubility of the poorly water soluble drug, indomethacin. Solubilisation of the drug in the presence of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a76d340ec88bcc251377108045aa900
https://kclpure.kcl.ac.uk/en/publications/4e41587f-bf84-4e5a-830e-28a8a36f93e9

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Novel machine learning application for prediction of membrane insertion potential of cell-penetrating peptides

Autor: Nabil A. Alhakamy, Safa A. Damiati, Ahmed L. Alaofi, Prajnaparamita Dhar

Publikováno v: International Journal of Pharmaceutics. 567:118453

Cell-penetrating peptides (CPPs) are often used as transporter systems to deliver various therapeutic agents into the cell. We developed a novel machine learning application which can quantitatively screen the insertion/interaction potential of vario

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a2e793fd510a5d42f173e745bebb14a
https://doi.org/10.1016/j.ijpharm.2019.118453

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