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Mukhtar, A., Giannoudis, A., Jørgensen, B., Wu, D., Liu, X., Mustafa, K. B. E., Gjengedal, G. C. G., Adegbite, O., Mieszkowska, A., Yu, L. G. & Gurzawska-Comis, K. (2025). Interaction of potato-derived RG-I with galectin-3 and gene regulation in human mesenchymal stem cells. BMC Biotechnology, 25(1), Article 115. https://doi.org/10.1186/s12896-025-01030-z
Sampaio-Oliveira, M., Oliveira, M. L. & Spin-Neto, R. (2025). Development of a carrier device for dental-dedicated magnetic resonance imaging. Imaging Science in Dentistry, 55(2), 207-213. https://doi.org/10.5624/isd.20240254
Raoof, M., Fereidooni, R., Afzali, M., Mansoori, M., Amanpour, S. & Rad, M. (2025). Exploring the Etiology of Dental Fear Among Candidates for Endodontic Treatment: A Qualitative Investigation. Tanzania Journal of Health Research, 26(4), 2355-2363. https://doi.org/10.4314/thrb.v26i4.20
Tirapelli, C., Gaêta-Araujo, H., Costa, E. D., Scarfe, W. C., Oliveira-Santos, C., Fischer, K. M., Grosgogeat, B., Szonyi, V., Melo, P., Ruiz-Marrara, J., Bolstad, N., Spin-Neto, R. & Pauwels, R. (2025). Patient perceptions of artificial intelligence in dental imaging diagnostics: A multicentre survey. Dentomaxillofacial Radiology, 54(6), 427-436. https://doi.org/10.1093/dmfr/twaf018
Porto Alegre Valente, R., Navarro de Oliveira, M., da Silva Sakamoto, S. P., Spin-Neto, R., Rossetto Lisboa, C. D. P., de Andrade Vieira, W. & Paranhos, L. R. (2025). Nicodemo’s method for age estimation of children, adolescents and young adults: a systematic review focusing on accuracy. Egyptian Journal of Forensic Sciences, 15(1), Article 68. https://doi.org/10.1186/s41935-025-00485-7
Jacinto, J., Letko, A., Gentile, A., Otter, A., Floyd, T., Collins, R., Richey, M., Carty, H., Scholes, S., Jones, A., Fuller, H., Häfliger, I. M., Strugnell, B., Studer, E., Benazzi, C., Bolcato, M., Starič, J., Diana, A., Weber, J. ... Drögemüller, C. (2025). Exploring skeletal disorders in cattle and sheep: a WGS-based framework for diagnosis and classification. Genetics Selection Evolution, 57(1), Article 51. https://doi.org/10.1186/s12711-025-01002-z

Search publications

Sort by: Date | Author | Title

Mukhtar, A., Giannoudis, A., Jørgensen, B., Wu, D., Liu, X., Mustafa, K. B. E., Gjengedal, G. C. G., Adegbite, O., Mieszkowska, A., Yu, L. G. & Gurzawska-Comis, K. (2025). Interaction of potato-derived RG-I with galectin-3 and gene regulation in human mesenchymal stem cells. BMC Biotechnology, 25(1), Article 115. https://doi.org/10.1186/s12896-025-01030-z
Sampaio-Oliveira, M., Oliveira, M. L. & Spin-Neto, R. (2025). Development of a carrier device for dental-dedicated magnetic resonance imaging. Imaging Science in Dentistry, 55(2), 207-213. https://doi.org/10.5624/isd.20240254
Raoof, M., Fereidooni, R., Afzali, M., Mansoori, M., Amanpour, S. & Rad, M. (2025). Exploring the Etiology of Dental Fear Among Candidates for Endodontic Treatment: A Qualitative Investigation. Tanzania Journal of Health Research, 26(4), 2355-2363. https://doi.org/10.4314/thrb.v26i4.20
Tirapelli, C., Gaêta-Araujo, H., Costa, E. D., Scarfe, W. C., Oliveira-Santos, C., Fischer, K. M., Grosgogeat, B., Szonyi, V., Melo, P., Ruiz-Marrara, J., Bolstad, N., Spin-Neto, R. & Pauwels, R. (2025). Patient perceptions of artificial intelligence in dental imaging diagnostics: A multicentre survey. Dentomaxillofacial Radiology, 54(6), 427-436. https://doi.org/10.1093/dmfr/twaf018
Porto Alegre Valente, R., Navarro de Oliveira, M., da Silva Sakamoto, S. P., Spin-Neto, R., Rossetto Lisboa, C. D. P., de Andrade Vieira, W. & Paranhos, L. R. (2025). Nicodemo’s method for age estimation of children, adolescents and young adults: a systematic review focusing on accuracy. Egyptian Journal of Forensic Sciences, 15(1), Article 68. https://doi.org/10.1186/s41935-025-00485-7
Jacinto, J., Letko, A., Gentile, A., Otter, A., Floyd, T., Collins, R., Richey, M., Carty, H., Scholes, S., Jones, A., Fuller, H., Häfliger, I. M., Strugnell, B., Studer, E., Benazzi, C., Bolcato, M., Starič, J., Diana, A., Weber, J. ... Drögemüller, C. (2025). Exploring skeletal disorders in cattle and sheep: a WGS-based framework for diagnosis and classification. Genetics Selection Evolution, 57(1), Article 51. https://doi.org/10.1186/s12711-025-01002-z