
Mohammad Ali Saghiri
· Associate ProfessorVerifiedRutgers University · Restorative Dentistry
Active 2007–2026
About
Dr. Mohammad Ali Saghiri is an Associate Professor in the Department of Restorative Dentistry at Rutgers School of Dental Medicine. He is a distinguished researcher at the intersection of dentistry, biomaterials, computer science, and AI. His groundbreaking work in endodontic biomaterials harnesses AI to transform dental diagnostics, treatment planning, and education. His research portfolio includes AI-powered image analysis for early disease detection, virtual reality simulations for dental training, and ethical AI applications. Additionally, he explores AI's role in optimizing treatment plans and secure data transfer in healthcare through blockchain technology. Dr. Saghiri has contributed extensively to the field with over 120 PubMed publications, nearly 40% of which focus on the intersection of dentistry and computer science. He serves as an Associate Editor for two journals and is on the editorial board of over ten journals, demonstrating his commitment to advancing dental research. His innovative projects include the development of novel biomaterials such as FitSeal, which addresses limitations of conventional endodontic sealers, and DentinVaccine, aimed at enhancing dentin durability. Recognized for his contributions, he received the New Jersey Health Foundation's Excellence in Research Award in 2024 and the DenburTech Award in 2020. Dr. Saghiri is passionate about fostering collaboration, mentoring future researchers, and engaging in biomedical research, international dentistry, and computer engineering.
Research topics
- Medicine
- Dentistry
- Materials science
- Composite material
- Chemistry
- Orthodontics
- Metallurgy
- Crystallography
- Endocrinology
- Computer Science
- Artificial Intelligence
- Internal medicine
- Pathology
- Surgery
- Organic chemistry
- Mathematics
- Mineralogy
- Chemical engineering
- Psychology
- Inorganic chemistry
- Biochemistry
- Food science
- Nuclear chemistry
- Medical education
Selected publications
Journal of Endodontics · 2026-02-01
article1st authorCorrespondingOdontology · 2026-02-06
article1st authorCorrespondingOdontology · 2025-05-11
article1st authorCorrespondingJournal of Endodontics · 2025-11-19
article1st authorCorrespondingCancer Control · 2025-01-01 · 6 citations
reviewOpen access1st authorBackground Oral cancer remains 1 of the biggest health care challenges; it has a poor response to treatment, and treatment often results in severe side effects. Nano-targeted drug carrier-assisted drug delivery systems can improve the benefits of targeted drug delivery and treatment efficacy. A systematic review and meta-analysis was conducted to investigate the effect of targeted nano carrier drug delivery systems on the management of oral cancer. Methods A comprehensive literature search was performed using PubMed, ScienceDirect, the Cochrane Library, Google Scholar, and Scopus using PRISMA guidelines, to identify relevant in vitro and in vivo (human) studies. Studies evaluating the impact of nanocarrier-based delivery systems on oral cancer cells or human models were selected. Pooled effect sizes were calculated using random-effects models via RevMan 5.4, and heterogeneity among studies was assessed. Results After full-text assessment, 15 research articles were included [14 in vitro studies and 1 randomized controlled trial (RCT)]. In the meta-analysis, the pooled data (IC 50 ) for the impact of the nanocarrier delivery system vs control on oral cancer was −7.67 (95% CI: −41.77, 26.43), with a high heterogeneity ( I 2 = 92%, P < 0.00001). Moreover, in vitro studies had a medium risk of bias, while the RCT had some concerns in the randomization domain. Conclusion Nanocarrier-based drug delivery has been found to be a superior approach compared to drug delivery in free form, increasing the efficacy and safety of oral cancer treatment.
2025-04-25
reviewOpen access1st authorCorrespondingMain outcome(s) Bone volume retention, new bone formation, resorption rate, and biomaterial retention.Additional outcome(s) Complication rates, osseointegration, and overall clinical success.Data management EndNote for screening, Excel for extraction, and PRISMA-guided systematic review. Quality assessment / Risk of bias analysisCochrane RoB2 for RCTs, ROBINS-I for nonrandomized studies, GRADE framework for evidence certainty. Strategy of data synthesisFixed/random-effects models standardized mean differences (SMD), and I statistic for heterogeneity.Subgroup analysis Not explicitly conducted; analysis focused on overall pooled estimates. Sensitivity analysis Conducted using Duval andTweedie's trim-and-fill method to address potential publication bias. Language restriction Only articles in English.Country(ies) involved Saudi Arabia.
Cell Transplantation · 2025-10-01 · 2 citations
articleOpen access1st authorThe aim of this article is to identify whether bioactive glass (BG) is a valid substitute for autogenic bone grafting in maxillofacial reconstruction. PubMed, Scopus, Web of Science, and Cochrane Library databases were searched. Meta-analyses with fixed- and random-effects models were performed by using standardized mean differences (SMDs) with 95% confidence intervals (CIs). Heterogeneity was assessed by using the I² statistic. The significance of results was evaluated at P < 0.05. The BG leads to greater total bone volume retention 6 months after surgery compared with autografts (SMD = 0.796, 95% CI = 0.445–1.147, P = 8.74 × 10⁻⁶, I² = 0%). The resorption rate of BG grafts (SMD = −0.768, 95% CI = −1.360 to −0.176, P = 0.011, I² = 3.82%) was less common, while the retention of the biomaterial (SMD = 1.165, 95% CI = 0.540–1.790, P = 0.00026, I² = 0%) was higher in the experimental group. Both BG and autogenic grafts result in the formation of new bone to a similar extent. However, BG is able to provide long-term stability by maintaining the graft volume, reducing resorption, and preserving the graft scaffold, representing an effective alternative to autogenous bone grafting for a durable maxillofacial reconstruction.
Journal of Endodontics · 2025-09-09 · 3 citations
article1st authorCorrespondingJournal of Rheumatic Diseases · 2025-02-23 · 6 citations
reviewOpen accessObjective: This systematic review and meta-analysis aimed to assess Rituximab (RTX)'s efficacy and safety in primary Sjögren's syndrome (pSS), particularly how treatment timing influences outcomes. Methods: The study included randomized controlled trials (RCTs) and quasi-experimental studies evaluating RTX in pSS patients, focusing on disease activity (European League Against Rheumatism Sjögren's Syndrome Disease Activity Index [ESSDAI] score) and adverse events (AEs). Searches were conducted in MEDLINE, Embase, SCOPUS, and Cochrane Library databases up to July 2024. Risk of bias was assessed using Cochrane Risk of Bias 2.0 (RoB 2) and Joanna Briggs Institute (JBI) checklists. Meta-analysis was performed in Stata 17 with a random-effects model, reporting mean differences in ESSDAI and I² for heterogeneity. Results: From 555 articles, 15 studies were included (4 RCTs and 11 quasi-experimental studies). RCT meta-analysis showed a mean difference of 0.09 (95% confidence interval [CI] -0.43, 0.61), indicating no significant RTX efficacy. In contrast, the pooled quasi-experimental analysis revealed a mean difference of -4.36 (95% CI -5.83, -2.89), suggesting a significant reduction in disease activity. Meta-regression indicated no significant correlation between RTX efficacy and mean disease duration. Subgroup analysis of disease duration (under vs. over 60 months) showed no significant difference. Safety assessment indicated no significant differences in AEs between RTX and placebo in RCTs. In quasi-experimental studies, infusion reactions and infections were the most common AEs, with serious infections being the most severe. Conclusion: RTX did not show significant improvement in RCTs. However, RTX significantly reduced pSS activity at week 24 or month 6 following treatment, based on quasi-experimental studies. We found no significant correlation between RTX efficacy and disease duration.
Scientific Reports · 2025-03-19 · 7 citations
articleOpen access1st authorGraphene has attracted significant attention in dentistry due to its structural and adhesive properties, enhancing the mechanical performance of dental composites. This study investigates the behavior and interaction of monomers and graphene-based adhesives using molecular docking and molecular dynamics (MD) simulations. Binding energies and interactions between monomers and graphene derivatives were assessed using molecular docking, while MD simulations with the Forcite module and COMPASS II force field provided insights into the mechanical properties of the composites. The simulations involved energy minimization, NVT/NPT ensembles, and equilibration for 50 ns. The binding energies of the monomer-graphene complexes ranged from - 16.27 to -18.55 kcal/mol, with the Bis-GMA-Graphene Quantum Dot complex showing the most stable interaction. Mechanical properties such as Young's modulus, shear modulus, and flexural strength were calculated for selected complexes: Bis-GMA-Graphene Quantum Dot (14.74 GPa, 9.32 GPa, 120.51 MPa), EBPADMA-Graphene Quantum Dot (14.28 GPa, 9.13 GPa, 118.22 MPa), HEMA-Nitrogen-doped Graphene (9.85 GPa, 6.86 GPa, 95.7 MPa), TEGDMA-Graphene Oxide (11.96 GPa, 8.12 GPa, 110.23 MPa), and UDMA-CCOOH Functionalized Graphene (13.82 GPa, 8.43 GPa, 115.4 MPa). The Bis-GMA-Graphene Quantum Dot complex showed the highest stability with 20 hydrogen bonds. These results highlight graphene quantum dots and functionalized graphene derivatives as promising candidates for high-performance dental composites, offering strong adhesive properties and improved mechanical strength. Future research may focus on further optimizing these interactions and exploring additional graphene modifications.
Frequent coauthors
- 64 shared
Nader Sheibani
- 51 shared
Armen Asatourian
- 50 shared
Mehrdad Lotfi
University of Kashan
- 48 shared
Franklin García‐Godoy
University of Tennessee Health Science Center
- 37 shared
Steven M. Morgano
Rutgers, The State University of New Jersey
- 36 shared
Julia Vakhnovetsky
University of Michigan–Ann Arbor
- 34 shared
Kasra Karamifar
- 33 shared
James L. Gutmann
Texas A&M University
Labs
Biomaterials Research LaboratoryPI
Awards & honors
- New Jersey Health Foundation's Excellence in Research Award…
- DenburTech Award (December 2020)
- FitSeal project award from the National Collegiate Inventors…
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