RESUMO
The advent of whole-slide imaging in digital pathology has brought about the advancement of computer-aided examination of tissue via digital image analysis. Digitized slides can now be easily annotated and analyzed via a variety of algorithms. This study reviews the fundamentals of tissue image analysis and aims to provide pathologists with basic information regarding the features, applications, and general workflow of these new tools. The review gives an overview of the basic categories of software solutions available, potential analysis strategies, technical considerations, and general algorithm readouts. Advantages and limitations of tissue image analysis are discussed, and emerging concepts, such as artificial intelligence and machine learning, are introduced. Finally, examples of how digital image analysis tools are currently being used in diagnostic laboratories, translational research, and drug development are discussed.
RESUMO
Head Start centers provide an excellent context for the implementation and success of family-based interventions, particularly home visiting. Based on a developmental-ecological model, a universal family-centered intervention was implemented with Head Start families. Outcome data from this parenting and home visiting program is presented (Project STAR: Steps to Achieving Resilience). Results suggest that both parenting groups and home visiting interventions are effective at enhancing parenting skills: however, home visiting programs have a higher participation rate. Additionally, home visiting by familiar staff was particularly successful at improving parenting skills at follow-up. Results suggest that embedding targeted interventions in universal strategies can be an effective means of engaging families in services. The results have implications for service delivery methods in early childhood as a means of enhancing parent participation.