Clinical Manifestations.

Background: Frailty, synonymous with physical vulnerability and decline, may exert nuanced effects on cognitive functions.(Borges, Canevelli, Cesari, & Aprahamian, 2019) This study assesses possible association between frailty and cognitive performance with the aim of identifying vulnerable cognitive domains.

Method: We analysed the baseline data from Tata Longitudinal Study of Ageing (TLSA)(Sundarakumar et al.

The Future Hospital in Global Health Systems: The Future Hospital as an Entity.

Health care is changing rapidly. Hospitals are, and will remain, an essential setting to deliver it. We discuss how to maximise the benefits of hospitals in the future in different geographic and health system settings, highlighting a series of cross-cutting issues.

Adherence and forgiveness of two modern ART regimens: lamivudine/dolutegravir and emtricitabine/tenofovir alafenamide/rilpivirine.

Introduction: Few data are available about the forgiveness of two-drug (2DR) or low-barrier three-drug antiretroviral regimens. The aim of this study is to evaluate the real-life forgiveness of lamivudine/dolutegravir (3TC/DTG) and emtricitabine/tenofovir alafenamide/rilpivirine (FTC/TAF/RPV).

Methods: A two center retrospective observational study enrolled all people with HIV (PWH) treated with 3TC/DTG or FTC/TAF/RPV.

Enhancing diabetic retinopathy and macular edema detection through multi scale feature fusion using deep learning model.

Background: This work tackles the growing problem of early identification of diabetic retinopathy and diabetic macular edema. The deep neural network design utilizes multi-scale feature fusion to improve automated diagnostic accuracy. Methods This approach uses convolutional neural networks (CNN) and is designed to combine higher-level semantic inputs with low-level textural characteristics.