From Federal Policy to Bedside Care: A Canadian Perspective on Key Considerations for Nurse Executive Action for AI Adoption - A Commentary.

The integration of artificial intelligence (AI) into healthcare represents a paradigm shift with the potential to enhance patient care and streamline clinical operations. This commentary explores the Canadian perspective on key organizational considerations for nurse executives, emphasizing the critical role they play in fostering the establishment of AI governance structures and advancing the front-line adoption of AI in nursing practice. The discussion delves into five domains of consideration, analyzing recent developments and implications for nursing executives.

"You [God] Gotta Go Through It With Me": Black Women Navigating Spirituality During the Breast Cancer Journey.

Background: Black women generally report high levels of spirituality. Less is known about Black women's spiritual coping with a cancer diagnosis. Persisting health disparities between Black breast cancer survivors and other racial groups necessitate examining whether spirituality can be a contextual and personal resource for Black women with breast cancer.

Deep learning-based design and experimental validation of a medicine-like human antibody library.

Antibody generation requires the use of one or more time-consuming methods, namely animal immunization, and in vitro display technologies. However, the recent availability of large amounts of antibody sequence and structural data in the public domain along with the advent of generative deep learning algorithms raises the possibility of computationally generating novel antibody sequences with desirable developability attributes. Here, we describe a deep learning model for computationally generating libraries of highly human antibody variable regions whose intrinsic physicochemical properties resemble those of the variable regions of the marketed antibody-based biotherapeutics (medicine-likeness).

Evaluation of a modified venous excess ultrasound (VExUS) protocol for estimation of venous congestion: a cohort study.

Background: Understanding venous congestion is critical to the management of many illnesses, but assessing volume status can be challenging. The current gold standard for volume status assessment of right heart catheterization (RHC) is invasive, costly, and often unavailable. Venous Excess Ultrasound Score (VExUS) is a novel ultrasound protocol for to assessment of venous congestion using the inferior vena cava, hepatic, portal and renal veins.