An overview of Hospital-at-home versus other models of care.

Despite being increasingly adopted in various regions, the model of Hospital-at-home can still appear to be confusing to many healthcare workers. The authors examined and summarized the existing concepts and implementations of Hospital-at-home. How Hospital-at-home contrasts to traditional inpatient models were outlined.

Exploring B7-H4's role in prostate cancer dormancy post-androgen deprivation therapy: extracellular matrix interactions and therapeutic opportunities.

Prostate cancer (PCa) is mainly managed with androgen deprivation therapy (ADT), but this often leads to a dormant state and subsequent relapse as lethal castration-resistant prostate cancer (CRPC). Using our unique PCa patient-derived xenograft (PDX) dormancy models, we investigated this critical dormant phase and discovered a selective increase in B7-H4 expression during the dormancy period following mouse host castration. This finding is supported by observations in clinical specimens of PCa patients treated with ADT.

Gender-specific effects of dydrogesterone on zebrafish liver metabolism after long-term exposure.

Synthetic progestin dydrogesterone is widely used in gynecology and animal husbandry, leading to high environmental detection rates and concentrations. Dydrogesterone influences sex differentiation, gonad development, and spawning in fish. However, its impact on the liver, a vital organ for hormone production and detoxification, remains largely unknown.

Thoracic Aorta Measurement Extraction from Computed Tomography Radiology Reports Using Instruction Tuned Large Language Models.

Chest computed tomography (CT) is essential for diagnosing and monitoring thoracic aortic dilations and aneurysms, conditions that place patients at risk of complications such as aortic dissection and rupture. However, aortic measurements in chest CT radiology reports are often embedded in free-text formats, limiting their accessibility for clinical care, quality improvement and research purposes. In this study, we developed a multi-method pipeline to extract structured aortic measurements from radiology reports, and compared the performance of fine-tuned BERT-based models with instruction-tuned Llama large language models (LLMs).