Genomics yields biological and phenotypic insights into bipolar disorder.

Bipolar disorder is a leading contributor to the global burden of disease. Despite high heritability (60-80%), the majority of the underlying genetic determinants remain unknown. We analysed data from participants of European, East Asian, African American and Latino ancestries (n = 158,036 cases with bipolar disorder, 2.

Factors Influencing the Use of Shave Biopsy for Lesions Suspicious of Melanoma in Australia: An Exploratory Mixed-Methods Study.

Background: Recent Australian trends indicate that shave biopsies for diagnosing lesions suspicious of melanoma are increasing, yet reasons for this remain relatively unknown. We sought to understand which factors influence Australian clinicians' use of shave biopsy for managing thin lesions suspicious of melanoma in sites of low cosmetic sensitivity.

Methods: We used a convergent, exploratory mixed-methods design, with a cross-sectional online survey (n = 59) and semi-structured qualitative interviews (n = 15).

Evaluating Feasibility of an Exercise Intervention Including Physical Assessment During the First 6 Months of Cancer Treatment in Children and Adolescents in a Randomized Controlled Trial.

Purpose: The aim was to assess the feasibility of a randomized controlled exercise intervention, including physical assessments, in children and adolescents during the first 6 months of cancer treatment.

Materials And Methods: A sample of children and adolescents (n = 84, 6‒17.9 years) from an ongoing trial (INTERACT: NCT04706676) was randomly assigned to an integrative neuromuscular training (INT) intervention or active control intervention during treatment.

Combining evolution and protein language models for an interpretable cancer driver mutation prediction with D2Deep.

The mutations driving cancer are being increasingly exposed through tumor-specific genomic data. However, differentiating between cancer-causing driver mutations and random passenger mutations remains challenging. State-of-the-art homology-based predictors contain built-in biases and are often ill-suited to the intricacies of cancer biology.