As dentistry moves increasingly toward precision and personalization, two longstanding disciplines continue to serve as its most vital foundation: epidemiology and biostatistics. Behind technological advances such as artificial intelligence, big data, and genomics, these fields remain the key to interpreting information and shaping policies that are fair, safe, and evidence-based.<\/p>\n\n\n\n
This perspective was presented by Prof. Dr. drg. Rosa Amalia, M.Kes., during her inaugural address as Professor of Epidemiology and Biostatistics in Dentistry at the Faculty of Dentistry, Universitas Gadjah Mada (UGM), held on Tuesday, 24 June 2025 at the Senate Hall, UGM Main Building. In her lecture titled Exploring Numbers, Reading the Future: The Role of Epidemiology and Biostatistics in the Era of Precision Dentistry, she underscored the importance of integrating scientific approaches with modern technology for more proactive and participatory healthcare.<\/p>\n\n\n\n
\u201cWithout a solid epidemiological framework and accurate biostatistical analysis, the application of precision dentistry risks generating bias, misclassification, or invalid clinical recommendations,\u201d she emphasized.<\/p>\n\n\n\n
Prof. Rosa explained that epidemiology and biostatistics are no longer merely tools for mapping diseases; they have evolved into bridges linking data to policy. In the context of P4 Dentistry (Predictive, Preventive, Personalized, Participatory),<\/em>they connect genetic vulnerability, environmental factors, and effective health interventions.<\/p>\n\n\n\n She cited her team\u2019s research on salivary biomarkers in children in Yogyakarta, which has resulted in two patents. This work forms the basis for developing more accurate and personalized early caries detection tools. \u201cWe believe saliva data can be used to design prevention strategies that truly match each child\u2019s unique condition,\u201d she said<\/p>\n\n\n\n Prof. Rosa also highlighted the importance of advancing smart dentistry through Artificial Intelligence<\/em> (AI) and Machine Learning<\/em> (ML). However, she warned that technology is only valuable if supported by robust analytical frameworks.\n\u201cAI without a solid biostatistical foundation can instead produce algorithmic bias that disadvantages certain groups,\u201d she cautioned.<\/p>\n\n\n\n She stressed the need for cross-sector collaboration. For researchers, the challenge lies in producing complex data-based studies that can be applied directly. For policymakers, data must become the basis of equitable preventive strategies. And for clinicians, P4 Dentistry serves as a guide to deliver more humane, proactive, and risk-based care.<\/p>\n\n\n\n Concluding her address, Prof. Rosa stated that integrating epidemiology and biostatistics paves the way for more predictive, personalized, and preventive dental healthcare.\n\u201cThrough this approach, we are not only reading the future of health but also rewriting the way we protect, care for, and honor life,\u201d she concluded.<\/p>\n\n\n\n Author: Fajar Budi Harsakti <\/p>","protected":false},"excerpt":{"rendered":" Dalam lanskap kedokteran gigi yang terus bergerak ke arah presisi dan personalisasi, dua cabang ilmu lama justru tampil sebagai fondasi terpenting: epidemiologi dan biostatistika. Di balik kemajuan teknologi seperti kecerdasan buatan, big data, hingga genomik, keduanya menjadi kunci untuk menafsirkan data dan membentuk kebijakan yang adil, aman, dan berbasis bukti. Pandangan tersebut disampaikan oleh Prof. […]<\/p>\n","protected":false},"author":293,"featured_media":14811,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[136],"tags":[289,291,297],"class_list":["post-14790","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-berita-terbaru","tag-sdg-3-kesehatan-dan-kesejahteraan-yang-baik","tag-sdg-4-pendidikan-berkualitas","tag-sdg-9-industri-inovasi-dan-infrastruktur"],"gutentor_comment":0,"yoast_head":"\n
Photographer: Dody Hendro W.<\/strong><\/p>\n\n\n\n