Depression and Obesity.

To summarize the recent literature regarding the interaction between the public health concerns of obesity and depression and provide preliminary recommendations for assessment and management of patients with co-occurring obesity and depression. RECENT FINDINGS : Recent studies have reinforced that while there is a bi-directional link between obesity and depression, there is stronger evidence that obesity contributes to the development of depression. Recent research has also elucidated potential mediating factors in the association between depression and obesity (e.

Veterinary technicians report in a survey how futile veterinary treatments contribute to their moral distress and impact their professional and personal lives.

Objective: To document veterinary technicians' (VTs') experiences with medical futility and its subsequent impact on moral distress and attrition from the profession.

Methods: A cross-sectional study using a 56-question web-based, confidential and anonymous survey was distributed through the National Association of Veterinary Technicians in America between January 19 and February 15, 2023.

Results: There were 1,944 responses from approximately 8,500 members (22% response rate).

Identifying Predictors of Successful Conversion from OREF Grants to Extramural Federal Funding Among Orthopaedic Surgeons.

Background: Musculoskeletal diseases are a major contributor to global human disability, but research in this area of medicine contends with chronic underfunding in the United States, receiving <2% of the National Institutes of Health (NIH) budget. The Orthopaedic Research and Education Foundation (OREF) serves as a vital nongovernmental organization, providing essential support for orthopaedic research. This study investigated the translation of various OREF grants into successful extramural federal funding discerning the clinician demographics and OREF award characteristics associated with increased chances of securing federal grants.

Antigen-independent single-cell circulating tumor cell detection using deep-learning-assisted biolasers.

Circulating tumor cells (CTCs) in the bloodstream are important biomarkers for clinical prognosis of cancers. Current CTC identification methods are based on immuno-labeling, which depends on the differential expression of specific antigens between the cancer cells and white blood cells. Here we present an antigen-independent CTC detection method utilizing a deep-learning-assisted single-cell biolaser.