The Relationship between Emotional and Esteem Social Support Messages and Health.

The purpose of this investigation is to determine the relative contribution of five types of social support to improved patient health. This analysis suggests that emotional and esteem social support messages are associated with improved patient health as measured by a decrease in average blood glucose levels among diabetic patients. In addition, when two system feature variables, two system use variables, two measures of learning, one measure of self-efficacy, and one measure of affect toward their HCP were added to the baseline model, a third significant factor emerged. Perceptions about learning about diabetes from reading the digital messages sent by their HCP also predicted improved patient health. Cognitive-Emotional Theory of Esteem Support Messages suggests a combination of esteem social support and emotional social support messages enhanced our ability to predict improved patient health by change in patient hemoglobin A1c (HbA1c) scores. While a nonrandomized prospective study, this investigation provides support for the notion that provider-patient interaction is related to improved patient health and that both emotional and esteem social support messages play a role in that process. Finally, the study suggests some types of social support are and other types are not associated with improved patient health; this is consistent with the optimal matching hypothesis.

Artificial intelligence and machine learning in cancer imaging.

An increasing array of tools is being developed using artificial intelligence (AI) and machine learning (ML) for cancer imaging. The development of an optimal tool requires multidisciplinary engagement to ensure that the appropriate use case is met, as well as to undertake robust development and testing prior to its adoption into healthcare systems. This multidisciplinary review highlights key developments in the field. We discuss the challenges and opportunities of AI and ML in cancer imaging; considerations for the development of algorithms into tools that can be widely used and disseminated; and the development of the ecosystem needed to promote growth of AI and ML in cancer imaging.

Report of the Second Asian Prostate Cancer (A-CaP) Study Meeting.

The Asian Prostate Cancer (A-CaP) Study is an Asia-wide initiative that has been developed over the course of 2 years. The study was launched in December 2015 in Tokyo, Japan, and the participating countries and regions engaged in preparations for the study during the course of 2016, including patient registration and creation of databases for the purpose of the study. The Second A-CaP Meeting was held on September 8, 2016 in Seoul, Korea, with the participation of members and collaborators from 12 countries and regions. Under the study, each participating country or region will begin registration of newly diagnosed prostate cancer patients and conduct prognostic investigations. From the data gathered, common research themes will be identified, such as comparisons among Asian countries of background factors in newly diagnosed prostate cancer patients. This is the first Asia-wide study of prostate cancer and has developed from single country research efforts in this field, including in Japan and Korea. At the Second Meeting, participating countries and regions discussed the status of preparations and discussed various issues that are being faced. These issues include technical challenges in creating databases, promoting participation in each country or region, clarifying issues relating to data input, addressing institutional issues such as institutional review board requirements, and the need for dedicated data managers. The meeting was positioned as an opportunity to share information and address outstanding issues prior to the initiation of the study. In addition to A-CaP-specific discussions, a series of special lectures was also delivered as a means of providing international perspectives on the latest developments in prostate cancer and the use of databases and registration studies around the world.