Therapeutic potential of anti-ErbB3 chimeric antigen receptor natural killer cells against breast cancer.

ErbB3 is markedly overexpressed in breast cancer cells and is associated with resistance and metastasis. Additionally, ErbB3 expression levels are positively correlated with low densities of tumor-infiltrating lymphocytes, a marker of poor prognosis. Consequently, ErbB3 is a promising therapeutic target for cancer immunotherapy.

Edge Artificial Intelligence Device in Real-Time Endoscopy for Classification of Gastric Neoplasms: Development and Validation Study.

Objective: We previously developed artificial intelligence (AI) diagnosis algorithms for predicting the six classes of stomach lesions. However, this required significant computational resources. The incorporation of AI into medical devices has evolved from centralized models to decentralized edge computing devices.

[Spatiotemporal Patterns and Driving Forces Analysis of Ecological Carbon Sink from 2001 to 2022 in Qinling-Daba Mountains,China].

The Qinling-Daba Mountain area, an essential ecological conservation zone in China, occupies a pivotal position in the pursuit of carbon neutrality. Using diverse data sources, including temperature, precipitation, solar radiation, and the Normalized Difference Vegetation Index, we refined the CASA model by replacing model indicators. This enhanced model simulated the net primary productivity of vegetation in the Qinling-Daba Mountain area from 2001 to 2022.

Large Language Models in Gastroenterology: Systematic Review.

Background: As health care continues to evolve with technological advancements, the integration of artificial intelligence into clinical practices has shown promising potential to enhance patient care and operational efficiency. Among the forefront of these innovations are large language models (LLMs), a subset of artificial intelligence designed to understand, generate, and interact with human language at an unprecedented scale.

Objective: This systematic review describes the role of LLMs in improving diagnostic accuracy, automating documentation, and advancing specialist education and patient engagement within the field of gastroenterology and gastrointestinal endoscopy.

Primary Care-Based Digital Health-Enabled Stroke Management Intervention: Long-Term Follow-Up of a Cluster Randomized Clinical Trial.

Importance: Despite evidence of the short-term benefits of multicomponent primary care-based interventions, their long-term effects are unproven.

Objective: To evaluate the long-term outcomes of a system-integrated technology-enabled model of care (SINEMA intervention) for stroke management for systolic blood pressure (BP) and other outcomes among patients with stroke in China.

Design, Setting, And Participants: This long-term follow-up included community-dwelling clinically stable surviving participants with stroke in an open-label cluster randomized clinical trial.