Reflecting on professional self-disclosure and supportive relationships with foster carers during the COVID-19 pandemic. (2023)
Journal Article
ARCHARD, P.J., MOORE, I., O'REILLY, M., MAJUMDER, P., WARRENDER, D., ADKINS, T. and TILBURY, E. 2023. Reflecting on professional self-disclosure and supportive relationships with foster carers during the COVID-19 pandemic. Mental health practice [online], 26(2). Available from: https://doi.org/10.7748/mhp.2023.e1623

Professional self-disclosure can be defined as a clinician revealing personal information about themselves to the person they are caring for. This article provides reflections from clinicians working in child and adolescent mental health services (CA... Read More about Reflecting on professional self-disclosure and supportive relationships with foster carers during the COVID-19 pandemic..

The impact of COVID-19 on antimicrobial stewardship implementation in the United Arab Emirates hospitals: an exploration informed by the Consolidated Framework for Implementation Research (CFIR). [DUPHAT 2023 Poster] (2023)
Presentation / Conference Contribution
HASHAD, N., DEREK, S., PERUMAL, D., ABDULRAZZAQ, N., and TONNA, A. 2023. The impact of COVID-19 on antimicrobial stewardship implementation in the United Arab Emirates hospitals: an exploration informed by the Consolidated Framework for Implementation Research. Poster presented at the 29th Dubai international pharmaceutical and technologies conference and exhibition 2023 (DUPHAT 2023), 10-12 January 2023, Dubai, UAE.

The disruption caused by Coronavirus disease 2019 (COVID-19) on antimicrobial stewardship programmes (ASP) has been acknowledged and recognised.1 This study uses a theoretical qualitative approach to understand the impact of COVID-19 on ASP implement... Read More about The impact of COVID-19 on antimicrobial stewardship implementation in the United Arab Emirates hospitals: an exploration informed by the Consolidated Framework for Implementation Research (CFIR). [DUPHAT 2023 Poster].

LDDNet: a deep learning framework for the diagnosis of infectious lung diseases. (2023)
Journal Article
PODDER, P., RANI DAS, S., MONDAL, M.R.H., BHARATI, S., MALIHA, A., HASAN, M.J. and PILTAN, F. 2023. LDDNet: a deep learning framework for the diagnosis of infectious lung diseases. Sensors [online], 23(1), article 480. Available from: https://doi.org/10.3390/s23010480

This paper proposes a new deep learning (DL) framework for the analysis of lung diseases, including COVID-19 and pneumonia, from chest CT scans and X-ray (CXR) images. This framework is termed optimized DenseNet201 for lung diseases (LDDNet). The pro... Read More about LDDNet: a deep learning framework for the diagnosis of infectious lung diseases..