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:

Promoting Healthy Growth or Feeding Obesity? The Need for Evidence -Based Oversight of Infant Nutritional Supplement Claims The Developmental Origins of Health and Disease (DOHaD) model recognizes growth in infancy and childhood as a fundamental determinant of lifespan health. Evidence of long-term health risks among small neonates who subsequently grow rapidly poses a challenge for interventions aiming to support healthy growth, not merely drive weight gain. Defining healthy growth beyond "getting bigger" is essential as infant and young child feeding industries expand. Liquid -based nutritional supplements, originally formulated for undernourished children, are increasingly marketed for and consumed by children generally. Clarifying the nature of the evidentiary base on which structure/function claims promoting " healthy growth " are constructed is important to curb invalid generalizations. Evidence points to changing social beliefs and cultural practices surrounding supplementary feeding, raising specific concerns about the long-term health consequences of an associated altered feeding culture, including reduced dietary variety and weight gain. Reassessing the evidence for and relevance of dietary supplements' " promoting healthy growth " claims for otherwise healthy children is both needed in a time of global obesity and an opportunity to refine intervention approaches among small children for whom rapid subsequent growth in early life augments risk for chronic disease. Scientific and health care partnerships are needed to consider current governmental oversight shortfalls in protecting vulnerable populations from overconsumption. This is important because we may be doing more harm than good.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["Obesity", "chronic disease", "practices", "Growth", "obesity", "undernourished", "growth"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["weight gain"], "Food": ["dietary", "Nutritional Supplement", "nutritional supplements", "dietary supplements\u0027", "formulated"], "HealthCareActivity": ["health care", "intervention approaches", "interventions", "supplementary feeding"], "InjuryOrPoisoning": [], "IntellectualProduct": ["Developmental Origins of Health and Disease", "DOHaD"], "MedicalDevice": [], "Organization": ["partnerships"], "PopulationGroup": ["populations"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": [], "SpatialConcept": [], "Virus": []}