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PORTLAND, Ore., July 11. 28, 2022 (GLOBE NEWSWIRE) — Recently, MeituEve teamed up with scientists from the Chinese Academy of Sciences to jointly publish two major scientific achievements regarding the “genome-wide association study of the newly identified nasolabial fold variants linked to genes that also affect facial morphology” and “Quantifying the signs of facial skin aging by a deep learning-based algorithm”. These have been selected for publication in the Society for Investigative Dermatology (SID) and the International Society of Biophysics and Imaging of the Skin (ISBS), respectively.Based on its technology partnership with scientists from the Chinese Academy of Sciences, MeituEve took the skin imaging technology that had been previously applied in the commercial field and upgraded it for use in highly specialized fields such as genetic research and segmentation algorithms, and has received a high degree of recognition from the scientific community for its precise AI facial aging quantification technology. MeituEve’s skin analysis technology is not only a marketing tool to generate sales conversions, but also a powerful assistant to verify dermatological research.
State-of-the-art skin image recognition and classification algorithm technology helped find new genes associated with nasolabial folds and 3D facial structures
From May 18-20, SID held its 80th annual meeting in Portland, Oregon, USA. Since its founding in 1937, SID has been dedicated to promoting development related to skin health and disease through education, advocacy, and the exchange of scientific information, bringing together thousands of dermatologists each year. basic and clinical from all over the world. to become one of the most reputable international academic societies in the field of dermatology. At this year’s SID conference, the subject studied by MeituEve in partnership with scientists from the Chinese Academy of Sciences had the honor of being selected to participate in academic sharing, receiving a high degree of recognition from experts in the field of dermatology.
During the conference, MeituEve leveraged its expertise in deep learning and image analysis to precisely and accurately detect and quantify facial aging. Based on this, MeituEve again partnered with Dr. Sijia Wang, a senior researcher at the Shanghai Institute of Nutrition and Health composed of scientists from the Chinese Academy of Sciences, to jointly publish their research results regarding “The genome-wide association study of the nasolabial fold identified novel variants linked to genes that also affect facial morphology”.
In this study, MeituEve used AI technology to break through previous methods of classifying and quantifying nasolabial folds, using a scoring system based on a 0-100 scale, to accurately quantify nasolabial fold phenotypes from 12 980 test subjects; the research team conducted a genome-wide association study (GWAS) to successfully identify genetic loci strongly associated with nasolabial folds1. According to previously published research, these genetic loci are strongly correlated with the morphology of intermediate facial development2.3.
To better understand the relationship between nasolabial folds and facial morphological structures, the research team also collected and generated 3D data for the test subjects’ faces. It can be seen that the “nose-mouth area” in the middle of the face is more prominent in subjects with severe nasolabial folds (highlighted in red). Additionally, previous anatomical studies of the nasolabial folds have reinforced the findings of this study.
In this study, new genes associated with nasolabial folds were discovered and a strong relationship between skin aging and 3D facial structures was confirmed for the first time by genetic research. This study also showed that MeituEve has a unique advantage in image recognition and classification algorithms for skin analysis. Looking ahead, the hope is that cutting-edge technology will continue to further aid research and applications related to skin imaging and facial aging.
Skin analysis powered by deep learning algorithms for more specific and accurate quantitative results
Additionally, during the ISBS 2022 conference held on June 2-3, the MeituEve research team was invited to give an oral presentation at the conference. ISBS focuses on the research and development of engineering technologies in the field of skin, which includes the development, use and dissemination of invasive and non-invasive technologies for human skin. It has considerable influence in the fields of dermatological testing, skin care products and the research and development of medical devices for the skin.
MeituEve Research Center and CAS Scientists Made a Presentation on “Quantifying the Signs of Facial Skin Aging by a Deep Learning-based Algorithm”, Performing a Comparative Analysis of the Analysis’s Effectiveness of the skin using deep learning algorithms and conventional methods, and discussing the effectiveness of the application of both methods in the analysis of skin characteristics.
In 2018, MeituEve published a research paper at the ISIC conference, after which his algorithm was cited several times and became highly recognized in the field of computer image recognition. During this study, Eve Research & Innovation Center (ERIC) improved and advanced its algorithm several times, greatly expanding detection dimensions and improving detection fineness based on precise skin detection, resulting in a huge improvement in the efficiency of skin analysis. . This study revealed that the analysis results of MeituEve’s algorithm, which is powered by deep learning, represented a significant improvement over conventional skin analysis devices (blue data in the graphs are the analysis results from MeituEve).
In addition, in terms of fineness, stability and accuracy of skin analysis, the MeituEve M has surpassed commonly used brand devices in the industry (the graph shows conventional detection dimensions on the left, while the right is that of MeituEve). The technology will lead to more specific and precise quantitative results in the areas of skin imaging research and the development of analytical services.
During this year’s ISBS conference, the MeituEve research team also introduced the most advanced skin analyzer MeituEve V in detail to international experts attending the conference. This analyzer uses a unique high-accuracy 3D multi-view registration-like sculpting algorithm (differences of 0.5mm or less), structured light volume displacement tracking, and other technologies to intuitively present and quantify displacement soft tissues and changes in facial contours caused by aging. Using deep learning algorithms and advanced 3D analysis technology. In the future, the problem of quantitative skin analysis will be solved more effectively
1. Zhang. M., Wu, S., Du, S., Qian, W., Chen, J., Qiao. L., Yang, Y., Tan, J., Yuan, Z., Peng, Q., et al. (2022). Genetic variants underlying differences in facial morphology in East Asian and European populations. Nat Genet 54, 403-411.
2. Huang, Y., Li, D., Qiao, L., Liu, Y., Peng, Q., Wu, S., Zhang, M., Yang, Y., Tan, J., Xu, S. ., Et al. (2021). Genome-wide association study of facial morphology identifies novel genetic loci in Han Chinese. J. Genet Genomics 48, 198-207.
3. Liu, F., van der Lijn, F., Schurmann, C., Zhu, G., Chakravarty, MM, Hysi, PG, Wollstein, A., Lao, O., de Bruijne, M., Ikram, MA, et al. (2012). A genome-wide association study identifies five loci influencing facial morphology in Europeans. PLoS Genet 8, e1002932.
For more information about MeituEve, please visit:
Meitu Inc: https://www.meitu.com/
1. MeituEve Global Marketing Department: Ying Chen
Email: [email protected] / Mobile: 86-132-5506-8689
2. Meitu Group Public Relations Department: [email protected]
1. United States, Southeast Asia: Yolanda Ching
Email: [email protected] / Mobile: 852-9352-7278
2. Japan, Korea: Grace Cui
Email: [email protected] / Mobile: 86-155-0590-3091
3. EU, World: Michel Lin
Email: [email protected] / Mobile: 86-138-6018-6610
Image 2: chronological age
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