About Us
Oral cancer is the only major cancer whose outcomes continue to worsen.
Our goal is to turn this around. We are a multidisciplinary team of clinicians, scientists, engineers and medical device experts dedicated to creating a solution that can be used anywhere,
in any setting, by non-specialists.


MISSION
To improve oral cancer outcomes through earlier and more accurate detection and monitoring

VISION
To ensure that, globally, everyone with oral cancer risk receives the earliest and best treatment.

Publications
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Ilhan, B., Guneri, P., & Wilder-Smith, P. (2021). The contribution of artificial intelligence to reducing the diagnostic delay in oral cancer. UC Irvine. Report #: ARTN 105254. http://dx.doi.org/10.1016/j.oraloncology.2021.105254
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Messadi, D., Wilder-Smith, P., & Wolinsky, L. (2009). Improving Oral Cancer Survival: The Role of Dental Providers. Journal of the California Dental Association, 37(11), 789-798. http://dx.doi.org/10.1080/19424396.2009.12223033
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Le, A., Messadi, D., Epstein, J., & Wilder-Smith, P. (2011). Toward multimodality oral cancer diagnosis in the XXI century: Blending cutting edge imaging and genomic/proteomic definition of suspicious lesions. Bioinformation, 5(7), 304-306. http://dx.doi.org/10.6026/97320630005304
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Song, B.; Sunny, S.; Li, S.; Gurushanth, K.; Mendonca, P.; Mukhia, N., et al. (2021). Mobile-based oral cancer classification for point-of-care screening. Journal of Biomedical Optics, 26(6), 065003-065003. Report #: ARTN 065003. http://dx.doi.org/10.1117/1.jbo.26.6.065003
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Birur, N.; Patrick, S.; Bajaj, S.; Raghavan, S.; Suresh, A.; Sunny, S., et al. (2018). A Novel Mobile Health Approach to Early Diagnosis of Oral Cancer. The Journal of Contemporary Dental Practice, 19(9), 1122-1128. http://dx.doi.org/10.5005/jp-journals-10024-2392
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Nguyen, J.; Yang, S.; Melnikova, A.; Abouakl, M.; Lin, K.; Takesh, T., et al. (2023). Novel Approach to Improving Specialist Access in Underserved Populations with Suspicious Oral Lesions. Current Oncology, 30(1), 1046-1053. http://dx.doi.org/10.3390/curroncol30010080
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Miranda-Hoover, A.; He, P.; Chau, T.; Cimba, M.; Francois, K.; Day, S., et al. (2024). Telehealth Utilization in Oral Medicine and Oral and Maxillofacial Surgery. Telemedicine Journal and e-Health, 30(3), 780-787. http://dx.doi.org/10.1089/tmj.2023.0099 Click here for Source
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Nguyen, J., Takesh, T., Parsangi, N., Song, B., Liang, R., & Wilder-Smith, P. (2023). Compliance with Specialist Referral for Increased Cancer Risk in Low-Resource Settings: In-Person vs. Telehealth Options. Cancers, 15(10), 2775. Report #: ARTN 2775. http://dx.doi.org/10.3390/cancers15102775
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Song, B.; Sunny, S.; Uthoff, R.; Patrick, S.; Suresh, A.; Kolur, T., et al. (2018). Automatic classification of dual-modalilty, smartphone-based oral dysplasia and malignancy images using deep learning. Biomedical Optics Express, 9(11), 5318-5329. http://dx.doi.org/10.1364/boe.9.005318
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Uthoff, R.; Song, B.; Sunny, S.; Patrick, S.; Suresh, A.; Kolur, T., et al. (2019). Small form factor, flexible, dual-modality handheld probe for smartphone-based, point-of-care oral and oropharyngeal cancer screening. Journal of Biomedical Optics, 24(10), 106003-106003. Report #: ARTN 106003. http://dx.doi.org/10.1117/1.jbo.24.10.106003
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Uthoff, R.; Song, B.; Sunny, S.; Patrick, S.; Suresh, A.; Kolur, T., et al. (2018). Point-of-care, smartphone-based, dual-modality, dual-view, oral cancer screening device with neural network classification for low-resource communities. PLOS ONE, 13(12), e0207493. Report #: ARTN e0207493. http://dx.doi.org/10.1371/journal.pone.0207493
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Figueroa, K.; Song, B.; Sunny, S.; Li, S.; Gurushanth, K.; Mendonca, P., et al. (2022). Interpretable deep learning approach for oral cancer classification using guided attention inference network. Journal of Biomedical Optics, 27(1), 015001-015001. Report #: ARTN 015001. http://dx.doi.org/10.1117/1.jbo.27.1.015001
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Song, B.; Li, S.; Sunny, S.; Gurushanth, K.; Mendonca, P.; Mukhia, N., et al. (2021). Classification of imbalanced oral cancer image data from high-risk population. Journal of Biomedical Optics, 26(10), 105001-105001. http://dx.doi.org/10.1117/1.jbo.26.10.105001
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Song, B.; Sunny, S.; Li, S.; Gurushanth, K.; Mendonca, P.; Mukhia, N., et al. (2021). Bayesian deep learning for reliable oral cancer image classification. Biomedical Optics Express, 12(10), 6422-6430. http://dx.doi.org/10.1364/boe.432365 Retrieved from
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DeCoro, M., & Wilder-Smith, P. (2010). Potential of optical coherence tomography for early diagnosis of oral malignancies. Expert Review of Anticancer Therapy, 10(3), 321-329. http://dx.doi.org/10.1586/era.09.191
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Islip, D., Golabgir Anbarani, A., Wink, C., & Wilder-Smith, P. (2002). Comparing An Imaging-Based Versus Saliva-Based Approach To Determining Oral Cancer Risk. Journal of Dental Research, 81(1-Supplement), S6-S7.
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Ahn, Y., Chung, J., Wilder-Smith, P., & Chen, Z. (2011). Multimodality approach to optical early detection and mapping of oral neoplasia. Journal of Biomedical Optics, 16(7), 076007-076007-7. Report #: ARTN 076007. http://dx.doi.org/10.1117/1.3595850
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Kim, C., Ingato, D., Wilder-Smith, P., Chen, Z., & Kwon, Y. (2018). Stimuli-disassembling gold nanoclusters for diagnosis of early-stage oral cancer by optical coherence tomography. Nano Convergence, 5(1), 3. Report #: ARTN 3. http://dx.doi.org/10.1186/s40580-018-0134-5
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Wilder‐Smith, P., Jung, W., Brenner, M., Osann, K., Beydoun, H., Messadi, D., & Chen, Z. (2004). In vivo optical coherence tomography for the diagnosis of oral malignancy. Lasers in Surgery and Medicine, 35(4), 269-275. http://dx.doi.org/10.1002/lsm.20098
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Chung, J., Jung, W., Hammer-Wilson, M., Wilder-Smith, P., & Chen, Z. (2007). Use of polar decomposition for the diagnosis of oral precancer. Applied Optics, 46(15), 3038-3045. http://dx.doi.org/10.1364/ao.46.003038
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Wilder‐Smith, P., Lee, K., Guo, S., Zhang, J., Osann, K., Chen, Z., & Messadi, D. (2009). In vivo diagnosis of oral dysplasia and malignancy using optical coherence tomography: Preliminary studies in 50 patients. Lasers in Surgery and Medicine, 41(5), 353-357. http://dx.doi.org/10.1002/lsm.20773
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Wilder-Smith, P., Krasieva, T., Jung, W., Zhang, J., Chen, Z., Osann, K., & Tromberg, B. (2005). Noninvasive imaging of oral premalignancy and malignancy. Journal of Biomedical Optics, 10(5), 051601-051601-8. Report #: ARTN 051601. http://dx.doi.org/10.1117/1.2098930
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Mittal, R., Balu, M., Liu, G., Chen, Z., Tromberg, B., Wilder-Smith, P., & Potma, E. (2013). A Minimally Invasive Approach to The Challenge Of Oral Neoplasia. UC Irvine.
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Matheny, E., Hanna, N., Jung, WG, Chen, Z., Wilder-Smith, P., Mina-Araghi, R., & Brenner, M. (2004). Optical coherence tomography of malignancy in hamster cheek pouches. Journal of Biomedical Optics, 9(5), 978-981. http://dx.doi.org/10.1117/1.1783897
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Jung, W., Zhang, J., Wang, L., Wilder-Smith, P., Chen, Z., McCormick, D., & Tien, N. (2005). Three-Dimensional Optical Coherence Tomography Employing a 2-Axis Microelectromechanical Scanning Mirror. IEEE Journal of Selected Topics in Quantum Electronics, 11(5), 806-810. http://dx.doi.org/10.1109/jstqe.2005.857683
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Kim, C., Wilder-Smith, P., Ahn, Y., Liaw, L., Chen, Z., & Kwon, Y. (2009). Enhanced detection of early-stage oral cancer in vivo by optical coherence tomography using multimodal delivery of gold nanoparticles. Journal of Biomedical Optics, 14(3), 034008-034008-8. Report #: ARTN 034008. http://dx.doi.org/10.1117/1.3130323
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Hanna, N.; Waite, W.; Taylor, K.; Jung, W.; Mukai, D.; Matheny, E., et al. (2006). Feasibility of Three-Dimensional Optical Coherence Tomography and Optical Doppler Tomography of Malignancy in Hamster Cheek Pouches. Photobiomodulation Photomedicine and Laser Surgery, 24(3), 402-409. http://dx.doi.org/10.1089/pho.2006.24.402
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Sunny, S.; Agarwal, S.; James, B.; Heidari, E.; Muralidharan, A.; Yadav, V., et al. (2019). Intra-operative point-of-procedure delineation of oral cancer margins using optical coherence tomography. UC Irvine. http://dx.doi.org/10.1016/j.oraloncology.2019.03.006
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Heidari, A.; Sunny, S.; James, B.; Lam, T.; Tran, A.; Yu, J., et al. (2019). Optical Coherence Tomography as an Oral Cancer Screening Adjunct in a Low Resource Settings. IEEE Journal of Selected Topics in Quantum Electronics, 25(1), 1-8. Report #: ARTN 7202008. http://dx.doi.org/10.1109/jstqe.2018.2869643
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Song, B.; Li, S.; Sunny, S.; Gurushanth, K.; Mendonca, P.; Mukhia, N., et al. (2022). Exploring uncertainty measures in convolutional neural network for semantic segmentation of oral cancer images. Journal of Biomedical Optics, 27(11), 115001-115001. http://dx.doi.org/10.1117/1.jbo.27.11.115001
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Song, B.; Zhang, C.; Sunny, S.; Kc, D.; Li, S.; Gurushanth, K., et al. (2023). Interpretable and Reliable Oral Cancer Classifier with Attention Mechanism and Expert Knowledge Embedding via Attention Map. Cancers, 15(5), 1421. Report #: ARTN 1421. http://dx.doi.org/10.3390/cancers15051421
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James, B.; Sunny, S.; Heidari, A.; Ramanjinappa, R.; Lam, T.; Tran, A., et al. (2021). Validation of a Point-of-Care Optical Coherence Tomography Device with Machine Learning Algorithm for Detection of Oral Potentially Malignant and Malignant Lesions. Cancers, 13(14), 3583. Report #: ARTN 3583. http://dx.doi.org/10.3390/cancers13143583
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