Implementing Aging in Place in Hong Kong: Meeting the Needs and Aspirations of Older Adults and Their Caregivers Living in Private Housing.

A policy of aging in place should be accompanied by physical and social environments that support healthy aging. This article describes how a property development company in Hong Kong sought to elicit the views of older people and their caregivers towards elderly services through a market research company, using questionnaire surveys followed by focus groups. Over 80% of all participants rated healthy dietary habits and exercise, maintaining mental and spiritual health, and maintaining a generally healthy lifestyle as important. Current health concerns include long waiting times for care at public hospitals, lack of carer should dependency occur, and lack of information about what services are available in the community. Interests in services in their neighbourhood include medical care (82%), healthy lifestyle activities (66%), and home care support (55%). There was considerable interest in the provision of services that improve brain and physical function, as well as general health checks. Carers were willing to pay more for services compared with older adults themselves. The findings inform the development of pilot models of aging in place as a sustainable financial model.

Closing the loop - the role of pathologists in digital and computational pathology research.

An increasing number of manuscripts related to digital and computational pathology are being submitted to The Journal of Pathology: Clinical Research as part of the continuous evolution from digital imaging and algorithm-based digital pathology to computational pathology and artificial intelligence. However, despite these technological advances, tissue analysis still relies heavily on pathologists' annotations. There are three crucial elements to the pathologist's role during annotation tasks: granularity, time constraints, and responsibility for the interpretation of computational results. Granularity involves detailed annotations, including case level, regional, and cellular features; and integration of attributions from different sources. Time constraints due to pathologist shortages have led to the development of techniques to expedite annotation tasks from cell-level attributions up to so-called unsupervised learning. The impact of pathologists may seem diminished, but their role is crucial in providing ground truth and connecting pathological knowledge generation with computational advancements. Measures to display results back to pathologists and reflections about correctly applied diagnostic criteria are mandatory to maintain fidelity during human-machine interactions. Collaboration and iterative processes, such as human-in-the-loop machine learning are key for continuous improvement, ensuring the pathologist's involvement in evaluating computational results and closing the loop for clinical applicability. The journal is interested particularly in the clinical diagnostic application of computational pathology and invites submissions that address the issues raised in this editorial.