Does the Failure to Provide Equitable Access to Treatment Lead to Action by NHS Organisations? The Case of Biologics for South Asians with Inflammatory Bowel Disease.

The purpose of this study was to identify whether NHS Trusts where discrimination in the delivery of care to patients from the South Asian community had been demonstrated had taken any actions to address the issue over the subsequent year. Freedom of information requests were sent to three trusts which had provided evidence of disparate provision of biologic therapy to patients with Crohn's disease, their associated Clinical Commissioning Groups and Healthwatch organisations to seek evidence whether they had remedied the situation. Requests were also sent to the Care Quality Commission, NHS Improvement and the Equality and Human Rights Commission seeking examples where they had responded to inequitable delivery of care related to ethnicity.

Inflammatory bowel disease in the gypsy community in England and Scotland.

Introduction: The travelling community in England and Scotland may consist of between 150,000 and 500,000 members. In Scotland ethnicity codings for hospital admissions includes: Gypsies, Roma, Irish travellers and show people. Few Trusts in England break down codings for "Other British" in such detail.

UV/visible absorption maxima prediction of water-soluble organic compounds and generation of library of new organic compounds.

In this study, UV/visible absorption maxima of organic compounds are predicted with the help of machine learning (ML). Four ML models are evaluated, the gradient boosting model has performed best. We also analyzed feature importance.

Impact of 2022 flood on socio-economic and health status of people residing in flood-stricken areas of Pakistan: a cross-sectional survey.

Background: The events of extreme weather and climate-related disasters such as drought, flood, and heat waves are increasing worldwide. This paper highlights the impact of the 2022 flood in Pakistan on the socio-economic and health status of people residing in flood-stricken areas of Pakistan.

Methodology: A post-flood survey was conducted from three districts of Pakistan with a myriad of questions inquiring about the biopsychosocial aspects of the affected community.

Accelerated discovery of polymer donors for organic solar cells through machine learning: From library creation to performance forecasting.

The design of novel polymer donors for organic solar cells has been a major research focus for decades, but discovering unique materials remains challenging due to the high cost of experimentation. In this study, machine learning models are employed to predict power conversion efficiency (PCE), Mordred descriptors are used for model training. Among the four machine learning models evaluated, the gradient boosting regressor emerged as the best-performing model.