Conducting ethical, co-produced research with autistic individuals with an eating disorder: best practice guidelines.

There is a notable overlap between autism and eating disorders (EDs), and autistic individuals may experience poorer ED treatment outcomes than non-autistic peers. To make meaningful change in this field, it is imperative that we actively engage in co-production of research, however there are currently no guidelines to support co-production with autistic people with eating disorders. This paper reports on best practice guidelines that were co-produced across a series of workshops bringing together autistic people with EDs, researchers, clinicians, third-sector organisations, and parents/carers.

Perceived Barriers Toward Patient-Reported Outcome Implementation in Cancer Care: An International Scoping Survey.

Purpose: Implementation of patient-reported outcomes (PROs) collection is an important priority in cancer care. We examined perceived barriers toward implementing PRO collection between centers with and without PRO infrastructure and administrators and nonadministrators.

Patients And Methods: We performed a multinational survey of oncology practitioners on their perceived barriers to PRO implementations.

Epidemiology of cancer in adolescents and young adults from a tertiary care hospital in Southern India.

Purpose: This study aimed to analyze cancer pattern among adolescents and young adults (AYA) in a tertiary care center in South India.

Materials And Methods: A retrospective study was undertaken from January 2018 to December 2021 on AYA cancer patients (aged 15-39 years).

Results: Totally, 369 cases of AYA cancers were identified for analyzing the frequency and pattern of cancer distribution.

Sparse pseudocontact shift NMR data obtained from a non-canonical amino acid-linked lanthanide tag improves integral membrane protein structure prediction.

A single experimental method alone often fails to provide the resolution, accuracy, and coverage needed to model integral membrane proteins (IMPs). Integrating computation with experimental data is a powerful approach to supplement missing structural information with atomic detail. We combine RosettaNMR with experimentally-derived paramagnetic NMR restraints to guide membrane protein structure prediction.