Mohammad Seyedhamzeh

Mohammad Seyedhamzeh

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 August 2021 in Acta Parasitologica
Verified
Journal Article
Closed access
PDF file
TETaher Elmi
Taher Elmi
MAMehdi Shafiee Ardestani
Mehdi Shafiee Ardestani
MMManijeh Motevalian
Manijeh Motevalian
AHAli Kalantari Hesari
Ali Kalantari Hesari
MSMohammad Seyedhamzeh
Mohammad Seyedhamzeh
FTFatemeh Tabatabaei
Fatemeh Tabatabaei

1 January 2020 in European Journal of Pharmaceutical Sciences
Verified
Journal Article
Closed access
PMParia Mojarrad
Paria Mojarrad
SZSaeedeh Zamani
Saeedeh Zamani
MSMohammad Seyedhamzeh
Mohammad Seyedhamzeh
FOFarnoor Davachi Omoomi
Farnoor Davachi Omoomi
NKNaeim Karimpourfard
Naeim Karimpourfard
MAMehdi Shafiee Ardestani
Mehdi Shafiee Ardestani

6 November 2020 in Contrast Media & Molecular Imaging
Verified
Journal Article
Open access
PDF file
SGSeyedeh Masoumeh Ghoreishi
Seyedeh Masoumeh Ghoreishi
ANAtena Najdian
Atena Najdian
SYSina Yadegari
Sina Yadegari
MSMohammad Seyedhamzeh
Mohammad Seyedhamzeh
MEMaziyar Etemadzade
Maziyar Etemadzade
MAMehdi Shafiee Ardestani
Mehdi Shafiee Ardestani
Even today, technetium-99m is a radionuclide choice for diagnostic in nuclear medicine. The unique chemical and physical properties of technetium-99m make it suitable as an available radionuclide in many centers. In this study, we examined the potential of CQD as a reducing agent in the MDP kit. Citric acid-derived CQD was synthesized and confirmed by FT-IR, TEM, UV-Vis, XPS, and surface analysis. No cytotoxicity was observed by the MTT assay. They were reducing properties of the CQD confirmed by fluorescence microscopy. The MDP kit is prepared by evaluating different parameters that affect the radiolabeling yield, including ligand, time, and CQD. The optimum amount of each parameter is obtained by BoxBehnken software. Finally, fluorescent spectroscopy, SPECT imaging, and biodistribution study showed that CQD reduces technetium-99m. Accumulation of radiotracer in the femur showed that CQD could be used in a radiopharmaceutical kit.

10 July 2026 in Biomedicines
Verified
Journal Article
Open access
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DMDanial Mirzaee
Danial Mirzaee
Marzieh Ramezani FaraniMarzieh Ramezani Farani
Marzieh Ramezani Farani
MGMaryam Ghasemzaei
Maryam Ghasemzaei
OAOmid Akhavan
Omid Akhavan
MSMohammad Seyedhamzeh
Mohammad Seyedhamzeh
MAMehdi Shafiee Ardestani
Mehdi Shafiee Ardestani
Multifunctional nano-contrast agent carriers are redefining molecular imaging by combining high-fidelity visualization with targeted delivery, controlled release, and, increasingly, therapeutic action. This review encompasses the development of nano-contrast platforms from conventional dendrimer, liposome, chitosan, and silica systems to modular nano-contrast platforms for multimodal, multi-parametric, and activatable imaging in clinically relevant environments. We dissect engineering strategies that govern surface chemistry, ligand organization, stimulus responsiveness, and microenvironmental sensing, and relate them to theranostic performance, immune system engagement, and quantitative image readouts. Biodistribution, pharmacokinetics, and safety are discussed from both classical and model-informed perspectives, with design principles that favor predictable behavior, manufacturability, and regulatory acceptance. Current clinical translation, regulatory pathway evolution, and market dynamics are critically reviewed to elucidate that a few nano-contrast agents have reached patients despite a widespread experimental landscape. Finally, we discuss emerging trends, including biomimetic and ultrasmall carriers, metal–organic and hybrid frameworks, AI-assisted design, digital twins, and precision medicine workflows, which are likely to shape the next-generation nano-contrast theranostics. By systematically relating material selection and carrier architecture to imaging function and translational limitations, this review suggests concrete research priorities for taking nano-contrast agents from sophisticated prototypes to robust, patient-tailored tools.

1 January 2022 in Journal of Nanomaterials
Verified
Journal Article
Open access
PDF file
NYNourin Yousefieh
Nourin Yousefieh
FKFarinaz Khalatbari
Farinaz Khalatbari
SGSeyedeh Masoumeh Ghoreishi
Seyedeh Masoumeh Ghoreishi
MSMohammad Seyedhamzeh
Mohammad Seyedhamzeh
FOFarnoor Davachi Omoomi
Farnoor Davachi Omoomi
MAMehdi Shafiee Ardestani
Mehdi Shafiee Ardestani
Introduction. Breast cancer is the leading cause of mortality for women, and effort is being made to provide an agent which has both imaging and therapeutic effects (theranostics) which can improve the survival, economic burden, and outcomes. Methods. In this research, for the first time, we introduce a new magnetophotoluminescent quantum dot (Mn‐Si‐QD) capable of DOX loading. Mn‐Si‐QD was synthesized and evaluated by FT‐IR, UV‐Vis, fluorescence, SEM, and TEM. The impacts of various factors such as reaction time and reaction temperature were investigated to reach the optimum fluorescence properties. Toxicity on normal and cancerous cells was evaluated with an MTT assay. Results. The characterization analysis confirmed successful synthesis, and the MTT assay showed no cytotoxicity on normal cells and showed toxicity on cancerous cells. Magnetopotential showed no difference when compared using OmniScan. In vivo fluorescence imaging was considered and indicated the acceptable (25% ID/g) uptake on the tumor region. The biodistribution study also confirmed the accumulation of the magnetophotoluminescent quantum dot in the tumor site. Conclusion. Our research indicated that DOX‐loaded Mn‐Si‐QD is both noninvasive and an agent that can be hopefully used in theranostics.

30 October 2020 in engrXiv
Verified
Preprint
Open access
Jafar KolahiJafar Kolahi
Jafar Kolahi
MSMohammad Seyedhamzeh
Mohammad Seyedhamzeh
DDDavid G Dunning
David G Dunning
NKNader Kalbasi
Nader Kalbasi
Dental journal editors, grant providers, research managers, educational planners, and clinical professionals could direct more attention to artificial intelligence and machine learning as a rapid, effective and inexpensive tool to solve complicated clinical problems.