You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Dental enamel defects in German medieval and early-modern-age populations Aim of this study was to investigate the frequency and type of developmental defects of enamel (DDE) in a medieval and an early-modern-age population from Thuringia, Germany. Sixty-six skeletons subdivided into 31 single burials (12(th)/13(th) c.) and 35 individuals buried in groups (15(th)/16(th) c.) were examined. DDE were classified on 1,246 teeth according to the DDE index. Molar-incisor-hypomineralisation (MIH), a special type of DDE, was recorded according to the European Academy of Paediatric Dentistry (EAPD) criteria. DDE was found in 89.4% of the individuals (single burials 90.3% and group burials 88.6%). Hypoplastic pits were the most frequent defect in primary teeth and linear enamel hypoplasia (LEH) in permanent teeth. 13 individuals (24.1%) showed at least one hypomineralised permanent tooth, 12.2% had MIH on at least one first permanent molar and 10.0% in permanent incisors. Second primary molars were affected in 8.0% of the children and juveniles. No individual suffered from affected molars and incisors in combination. Endogenous factors like nutritional deficiencies and health problems in early childhood could have been aetiological reasons of DDE and MIH. The frequency of DDE and MIH might have been masked by extended carious lesions, dental wear and ante-mortem tooth loss.
{"AnatomicalStructure": ["tooth loss", "permanent molar", "teeth", "permanent teeth", "molars", "incisors", "Second primary molars", "permanent incisors", "permanent tooth", "primary teeth"], "Bacterium": [], "BiologicFunction": ["Molar-incisor-hypomineralisation", "linear enamel hypoplasia", "MIH", "nutritional deficiencies", "LEH", "hypomineralised", "carious lesions"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": ["skeletons"], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["pits", "DDE", "examined", "ante-mortem", "developmental defects of enamel", "enamel defects"], "Food": [], "HealthCareActivity": [], "InjuryOrPoisoning": ["dental wear"], "IntellectualProduct": ["classified", "recorded", "index"], "MedicalDevice": [], "Organization": ["European Academy of Paediatric Dentistry", "EAPD"], "PopulationGroup": ["German", "population", "populations", "individuals", "individual"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["study", "masked"], "SpatialConcept": ["extended", "Thuringia, Germany"], "Virus": []}