Retrospective observational cohort study of premature neonates screened for ROP with 7 years of follow-up assessing the visual outcomes and adequacy of preschool visual screening.

Background: Very premature infants screened for retinopathy of prematurity (ROP) that do not develop ROP still experience serious visual developmental challenges, and while it is recommended that all children in the UK are offered preschool visual screening, we aimed to explore whether this vulnerable group requires dedicated follow-up.

Methods: We performed a real-world retrospective observational cohort study of children previously screened for ROP in NHS Greater Glasgow and Clyde (Scotland) between 2013 and 2015. We excluded those with any severity of ROP identified during screening.

Independent Validation of a HER2-Low Focused Immunohistochemistry Scoring System for Enhanced Pathologist Precision and Consistency.

For 2 decades, the American Society of Clinial Oncology-College of American Pathologists human epidermal growth factor receptor 2 (HER2) testing criteria have included 0 and 1+ scores, but this distinction was inconsequential. Now, based on the DESTINY Breast-04 Trial (DB-04) results, for patients with metastatic breast cancer it underpins eligibility for trastuzumab-deruxtecan treatment. Discerning 0 from 1+ immunohistochemistry (IHC) staining is challenging, as HER2 low is not a biologically distinct cancer subset, there are no reference standards or controls, and second-tier tests (eg, in situ hybridization) do not apply.

Generalized deep learning for histopathology image classification using supervised contrastive learning.

Introduction: Cancer is a leading cause of death worldwide, necessitating effective diagnostic tools for early detection and treatment. Histopathological image analysis is crucial for cancer diagnosis but is often hindered by human error and variability. This study introduces HistopathAI, a hybrid network designed for histopathology image classification, aimed at enhancing diagnostic precision and efficiency in clinical pathology.

'Imagine if we had an actual service ...': a qualitative exploration of abortion access challenges in Australian rural primary care.

Introduction: Rural populations in Australia rely upon local primary health care for medication abortion access. Yet little is known about how individual primary healthcare providers themselves negotiate the unique complexities of the rural health system to provide local abortion services.

Methods: To address this gap, we conducted qualitative, semi-structured interviews with primary healthcare providers in rural New South Wales (NSW).

A foundation model for clinical-grade computational pathology and rare cancers detection.

The analysis of histopathology images with artificial intelligence aims to enable clinical decision support systems and precision medicine. The success of such applications depends on the ability to model the diverse patterns observed in pathology images. To this end, we present Virchow, the largest foundation model for computational pathology to date.