[Pillars and lines of action for integrated and people- and community-centered health systemsPilares e linhas de ação para sistemas integrados de saúde centrados nas pessoas e nas comunidades].

This paper presents the position of the Latin American working group of the International Foundation for Integrated Care (IFIC). The working group brings together various Latin American actors and organizations in support of actions that facilitate the transformation of health systems in the region towards integrated systems that focus on people not as isolated individuals but as subjects of law in the complex social and environmental contexts where they live and interact. The working group proposes nine pillars of integrated care to be used as a conceptual framework for policy development and changes in practices: 1) shared vision and values; 2) population health; 3) people and communities as partners; 4) resilient communities; 5) capacities of human resources for health; 6) governance and leadership; 7) digital solutions; 8) aligned payment systems; and 9) public transparency.

A loss-based patch label denoising method for improving whole-slide image analysis using a convolutional neural network.

This paper proposes a deep learning-based patch label denoising method (LossDiff) for improving the classification of whole-slide images of cancer using a convolutional neural network (CNN). Automated whole-slide image classification is often challenging, requiring a large amount of labeled data. Pathologists annotate the region of interest by marking malignant areas, which pose a high risk of introducing patch-based label noise by involving benign regions that are typically small in size within the malignant annotations, resulting in low classification accuracy with many Type-II errors.

Digital biology and chemistry.

This account examines developments in "digital" biology and chemistry within the context of microfluidics, from a personal perspective. Using microfluidics as a frame of reference, we identify two areas of research within digital biology and chemistry that are of special interest: (i) the study of systems that switch between discrete states in response to changes in chemical concentration of signals, and (ii) the study of single biological entities such as molecules or cells. In particular, microfluidics accelerates analysis of switching systems (i.