Oral Health and Cognitive Function Research Presented at ICBCB 2024
- Post by: Alper Idrisoglu
- 9 April, 2024
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In an outstanding display of innovation and interdisciplinary collaboration, Ph.D. students Alper Idrisoglu and Johan Flyborg presented their impressive study at the International Conference on Bioinformatics and Computational Biology (ICBCB) 2024 in Tokyo. Their study, “Oral Health Parameter-Based Mini-Mental State Examination (Score) Indication Using Machine Learning,” has not only showcased the prowess of our institution but also opened new avenues in the fields of oral health and cognitive function.
This research utilizes distinguished machine learning algorithms to analyze oral health parameters as indicators of Mini-Mental State Examination (MMSE) scores. By doing so, Idrisoglu and Flyborg have developed a novel approach that could potentially be used as an early indication of cognitive impairments. The study stands at the confluence of bioinformatics, computational biology, dentistry, and neurology, highlighting our institution’s commitment to fostering interdisciplinary research that addresses some of the most pressing challenges in healthcare today. The implications of their findings are offering a new, non-invasive method for early indication of cognitive impairment that could significantly enhance patient care and treatment outcomes.
Their research was disseminated to an international assembly of experts and scholars, where it garnered acknowledgment. This achievement not only reflects our institution’s role in cutting-edge scientific research but also emphasizes the importance of leveraging technology to improve health outcomes.
Stay tuned for further updates on the Alper Idrisoglu and Johan Flyborg projects and other groundbreaking research initiatives from our institution.
