Document text
Principal Investigator: Marisol Tellez Merchan
Organization: TEMPLE UNIV OF THE COMMONWEALTH
Fiscal Year: 2024
Award: $710,819
Funding agency: National Institute of Dental and Craniofacial Research
SUMMARY
The
Collaborative
ICPRS
clinically-oriented
predoctoral/postdoctoral
administered
development
current proposal titled “Sequential Modeling for Prediction of Periodontal Disea ses: An I ntra-
Practice-Based Research Study ( ICPRS)” is developed in response to RFA-DE-23-012 . The
will seek to develop various tasks in 4 component sections. In Component 1 , we seek to train 10
faculty from Temple University Kornberg School of Dentistry (TUKSoD) nd ten
students in Applied Clinica l Research by offering a graduate certificate program
by the College of Public Health (CPH) on facilitating skills
in applied patient-oriented research
a
. The 15-credit certificate will focus
. In Component 2, we aim to strengthen collaborations
between TUKSoD, CPH and the Medical School for faculty and student training, and overall research support
for the execution of Component 4 of this proposal. Our proposed project was collaboratively developed by
individuals with backgrounds in Periodontology, General and Oral Epidemiology, Oral Microbiome, Health
Informatics, Biostatistics and Public Health, and Physicians who will assist in extracting medical metrics relevant
to management of periodontal diseases (PD) from real-time medical records in the Pennsylvania Health Share
Exchange (PA HSX). In Component 3, we aim to expand clinically-oriented faculty participation in grant funded
research activities, in the annual research day, and in national research meetings by increasing the number of
faculty-student mentoring partnerships to conduct small-scale research projects. Finally, in Component 4, we
will develop longitudinal predictive models of PD incidence and progression using machine learning approaches
and microbiome/metagenomic sequencing strategies. This component has the following aims: Aim1 seeks to
develop clinical decision tools that utilize matched medical-dental patient datasets from TUKSoD and the PA
HSX EHR records. Aim1a will focus on developing a Medical Continuity of Care Record (CCR) that will provide
patients' up-to-date medical health metrics that can be used in the provision of care at the dental school. Using
dental patient's matched records, Aim1b will build an AI Empowered Prediction Model for PD. Aim2 will build
on findings from Aim1b to assess the potential of the subgingival and salivary microbiomes as additional
predictors of PD incidence and progression. Aim 2a will validate a dysbiosis index, applied to both subgingival
plaque and saliva samples, as a predictor of PD in a cohort study, while Aim2b will identify potential high
resolution, salivary/plaque metagenomic biomarkers of PD progression via a nested case-control study. The
proposed application builds on prior research conducted at TUKSoD and is directed towards increasing
participation of clinically-oriented faculty and pre/postdoctoral dental students in the school's research activities,
coupled with training in Applied Clinical Research including health informatics, opening a new pathway to further
research in dental education as well as promote faculty professional development, expand the research
academic workforce, and provide opportunities to conduct student-mentored practice-based research.
Terms: <16S gene sequencing><16S rRNA amplicon sequencing><16S rRNA gene amplicon sequencing><16S rRNA gene sequencing><16S rRNA genomic profiling><16S rRNA sequencing><16S ribosomal RNA gene sequencing><16S ribosomal RNA sequencing><16S sequencing><21+ years old><AI system><Accuracy of Diagnosis><Address><Adult><Adult Human><Affect><American><Applications Grants><Artificial Intelligence><Assessment instrument><Assessment tool><Behavioral><Biological Markers><Biometrics><Biometry><Biostatistics><Caring><Chronic Periodontitis><Classification><Clinical><Clinical Decision Support Systems><Clinical Faculty><Clinical Nurse Educator><Clinical Research><Clinical Study><Cohort Studies><Collaborations><Computer Reasoning><Concurrent Studies><Consent><Continuity of Care><Continuity of Patient Care><Continuum of Care><Coupled><Data><Data Analyses><Data Analysis><Data Set><Decision Making><Dental><Dental Education><Dental Epidemiology><Dental General Practice><Dental Schools><Dental Students><Dentists><Development><Disease><Disease Progression><Disorder><Early Diagnosis><Electronic Health Record><Faculty><Faculty Education><Faculty Training><Functional Metagenomics><Funding><Genes><Goals><Grant><Grant Proposals><Health><Health Informatics><Health Status><Healthcare><Incidence><Individual><Knowledge><Laboratories><Learning><Level of Health><Machine Intelligence><Machine Learning><Medical><Medical History><Medical Records><Metagenomics><Modeling><Mouth microbiome><Nested Case-Control Study><Nurse Educator><Nursing Faculty><Nursing Staff Developer><Nursing Staff Development Specialist><Oral><Oral Health Epidemiology><Oral health><Pain><Painful><Parodontosis><Pathway interactions><Patient Self-Report><Patients><Pennsylvania><Performance><Periodontal Diseases><Periodontitis><Personal Medical History><Personal Medical History Epidemiology><Physicians><Population><Postdoc><Postdoctoral Fellow><Practice based research><Prevention><Probabilistic Models><Probability Models><Prospective, cohort study><Public Health><Public Health Informatics><QOL><Quality of life><R-Series Research Projects><R01 Mechanism><R01 Program><Records><Reporting><Research><Research Activity><Research Associate><Research Grants><Research Project Grants><Research Projects><Research Support><Resolution><Risk Assessment><Risk Factors><Saliva><Salivary><Sampling><School Dentistries><School Dentistry><Schools><Science><Self-Report><Shotguns><Statistical Models><Students><Systematics><Teacher Education><Teacher Educator><Teacher Preparation><Teacher Professional Development><Teacher Training><Testing><Time><Tooth Loss><Training><Universities><adulthood><analyze microbiome><bio-markers><biologic marker><biomarker><certificate program><clinical practice><college><collegiate><computer based prediction><consumer informatics><data interpretation><dental health><dental practice><dentistry education><developmental><diagnostic accuracy><disability><disease control><disease diagnosis><disease model><disease prevention><disease risk><disorder control><disorder model><disorder prevention><disorder risk><dysbacteriosis><dysbiosis><dysbiotic><early detection><electronic health care record><electronic health medical record><electronic health plan record><electronic health registry><electronic medical health record><empowerment><faculty development><faculty professional development><health care><health level><improved><indexing><innovate><innovation><innovative><instructor training><machine based learning><medical college><medical schools><meeting><meetings><metagenome sequencing><metagenomic sequencing><microbial><microbial imbalance><microbial signature><microbiome><microbiome analysis><multiple data sources><new approaches><novel><novel approaches><novel strategies><novel strategy><oral epidemiology><oral microbiome><pathway><patient oriented research><patient oriented study><periodontal disorder><periodontium disease><periodontium disorder><post-doc><post-doctoral><post-doctoral trainee><potential biological marker><potential biomarker><practice-based research network><pre-doc><pre-doctoral><predictive biomarkers><predictive marker><predictive modeling><predictive molecular biomarker><predoctoral><programs><psychologic><psychological><recruit><research associates><research study><resolutions><response><risk prediction algorithm><risk prediction model><saliva sample><salivary sample><school of medicine><shot gun><skills><social determinants><sociodeterminant><statistical linear mixed models><statistical linear models><student mentoring><student training><student-led learning><subgingival microbiome><teacher development><tool>