{"id":1510,"date":"2024-01-01T00:00:55","date_gmt":"2024-01-01T00:00:55","guid":{"rendered":"https:\/\/sites.rutgers.edu\/precision-medicine\/?p=1510"},"modified":"2024-01-02T17:13:28","modified_gmt":"2024-01-02T17:13:28","slug":"deciphering-genomic-signatures-associating-human-dental-oral-craniofacial-diseases-with-cardiovascular-diseases-using-machine-learning-approaches","status":"publish","type":"post","link":"https:\/\/sites.rutgers.edu\/precision-medicine\/deciphering-genomic-signatures-associating-human-dental-oral-craniofacial-diseases-with-cardiovascular-diseases-using-machine-learning-approaches\/","title":{"rendered":"Deciphering genomic signatures associating human dental oral craniofacial diseases with cardiovascular diseases using machine learning approaches."},"content":{"rendered":"

Our latest article published in Clinical Oral Investigations<\/strong> i.e.,<\/p>\n

Deciphering genomic signatures associating human dental oral craniofacial diseases with cardiovascular diseases using machine learning approaches<\/a>.<\/strong><\/p>\n

Periodontal diseases are chronic, inflammatory disorders that involve the destruction of supporting tissues surrounding the teeth which leads to permanent damage and substantially heightens systemic exposure. If left untreated, dental, oral, and craniofacial diseases (DOCs), especially periodontitis, can increase an individual\u2019s risk in developing complex traits including cardiovascular diseases (CVDs). In this study, we are focused on systematically investigating causality between periodontitis with CVDs with the application of artificial intelligence (AI), machine learning (ML) algorithms, and state-of-the-art bioinformatics approaches using RNA-seq-driven gene expression data of CVD patients.<\/p>\n

Publication:<\/strong><\/p>\n