AccScience Publishing / EJMO / Volume 7 / Issue 4 / DOI: 10.14744/ejmo.2023.44425
LETTER TO THE EDITOR

Organoid Intelligence for Timely Diagnosis of Oral Malignancies: Innovative Insights 

Rahul Anand1 Gargi Sarode1 Namrata Sengupta1 Deepak Pandiar2 Sachin Sarode1,3
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1 Department of Oral Pathology and Microbiology, Dr DY Patil Dental College and Hospital, Dr DY Patil Vidyapeeth, Pune, India
2 Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
3 Dr DY Patil Unitech Society, Dr DY Patil Institute of Pharmaceutical Sciences and Research, Pimpri, Pune, India
EJMO 2023, 7(4), 407–410; https://doi.org/10.14744/ejmo.2023.44425
Submitted: 8 November 2023 | Accepted: 28 November 2023 | Published: 29 December 2023
© 2023 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Conflict of interest
None declared.
References

1. Warnakulasuriya S. Global epidemiology of oral and oropharyngeal cancer. Oral Oncol 2009;45:309–16.
2. Van der Waal I. Potentially malignant disorders of the oral and oropharyngeal mucosa; terminology, classification and present concepts of management. Oral Oncol 2009;45:317–23.
3. Speight PM, Khurram SA, Kujan O. Oral potentially malignant disorders: Risk of progression to malignancy. Oral Surg Oral Med Oral Pathol Oral Radiol 2018;125:612–27.
4. Markopoulos AK. Current aspects on oral squamous cell carcinoma. Open Dent J 2012;6:126–30.
5. Drost J, van Jaarsveld RH, Ponsioen B, Zimberlin C, van Boxtel R, Buijs A, et al. Sequential cancer mutations in cultured human intestinal stem cells. Nature 2015;521:43–7.
6. Sachs N, Papaspyropoulos A, Zomer-van Ommen DD, Heo I, Böttinger L, Klay D, et al. Long-term expanding human airway organoids for disease modeling. EMBO J 2019;38:e100300.
7. Dutta D, Heo I, Clevers H. Disease modeling in stem cell-derived 3D organoid systems. Trends Mol Med 2017;23:393–410. 
8. Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature 2017;542:115–8.
9. Puram SV, Tirosh I, Parikh AS, Patel AP, Yizhak K, Gillespie S, et al. Single-cell transcriptomic analysis of primary and metastatic tumor ecosystems in head and neck cancer. Cell 2017;171:1611–24.
10. Gillet LC, Navarro P, Tate S, Röst H, Selevsek N, Reiter L, et al. Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: A new concept for consistent and accurate proteome analysis. Mol Cell Proteomics 2012;11:O111.016717.
11. Fumagalli A, Bruens L, Scheele CLGJ, van Rheenen J. Capturing stem cell behavior using intravital and live cell microscopy. Cold Spring Harb Perspect Biol 2020;12:a035949.
12. Ching T, Himmelstein DS, Beaulieu-Jones BK, Kalinin AA, Do BT, Way GP, et al. Opportunities and obstacles for deep learning in biology and medicine. J R Soc Interface 2018;15:20170387.

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Eurasian Journal of Medicine and Oncology, Electronic ISSN: 2587-196X Print ISSN: 2587-2400, Published by AccScience Publishing