Background: Childhood cancer has been ranked the most common cause of death due to non-communicable disease among 5- to 14-year-old children in India. Ethical concerns have been identified in the care of children with cancer in India, yet there is a paucity of ethical standards for clinical practice to help address these concerns. For example, emerging research has demonstrated that many children are distressed when they are impeded from participating in discussions and decisions regarding their cancer care.
View Article and Find Full Text PDFBackground: The geographical variation in treatment patterns for patients with ovarian cancer is profound, long-standing and worrying. Although these variations were highlighted in a recent UK registry audit, granular data to provide explanations for these variations have been lacking.
Methods: A consortium of six UK centres was generated to curate and submit data for all patients treated at their centre for a 2-year period.
Coordinated access to multi-domain health data can facilitate the development and implementation of artificial intelligence-augmented clinical decision support (AI-CDS). However, scalable institutional frameworks supporting these activities are lacking. We present the PULSE framework, aimed to establish an integrative and ethically governed ecosystem for the patient-guided, patient-contextualized use of multi-domain health data for AI-augmented care.
View Article and Find Full Text PDFShort pulse laser (SPL) heated matter has opened an avenue to studying matter at conditions previously unattainable. While SPLs can generate matter at extreme densities and temperatures, characterization of the heated matter can be extremely challenging. The conditions are dynamic and require careful monitoring of the plasma evolution.
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