大模型api接口平台

Anoikis resistance and epithelial-mesenchymal transition (EMT) are crucial factors in tumor invasiveness and metastasis in lung adenocarcinoma (LUAD). Identifying anoikis-EMT-related genes could be beneficial for predicting prognosis and immunotherapeutic efficacy in patients with LUAD. This study aims to establish and validate a novel prognostic signature based on anoikis-EMT-related genes for LUAD and to identify the potential biomarkers encapsulated within it.

To develop and evaluate a large language model (LLM)-based learning tool, featuring virtual patients (VPs) and virtual assessors (VAs), and to assess its impact on medical students' perceptions of history-taking education compared to conventional learning methods.

The study of single-target multicomponent interactions has long suffered from a lack of effective research methods, primarily relying on the dissociation constant (K

To analyze drug's physicochemical properties and dissolution profiles of testosterone tablets compressed with two different load levels (2 and 15 tons) and to evaluate the influence of process additive on tablet properties.

Honey bee venom (HBV) often triggers severe IgE-mediated allergies. The major allergen icarapin (Api m 10) has attracted attention due to low occurrence in some HBV immunotherapy products. Despite being a major allergen, little is known about the Api m 10 structure and IgE-binding regions. This study aimed to characterize its IgE-binding epitopes and structure in more detail.

Sleep’s microstructure emerges from the continual coupling of intrinsic arousal with the homeostatic descent of the night. To ask how this coupling unfolds across disorders, we mapped the nocturnal trajectory of phasic events in idiopathic REM sleep behaviour disorder (iRBD;

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a prevalent condition linked to type 2 diabetes and other metabolic risk factors. Timely detection of advanced fibrosis (≥F3) in MASLD patients is critical for effective clinical management. Traditional risk scores, such as the Fibrosis-4 Index (FIB-4) and NAFLD Fibrosis Score (NFS), have limitations, prompting the exploration of machine learning models for improved risk prediction.

Rapid urbanization has escalated air pollution, highlighting the need to identify resilient plant species for sustainable urban greening. This study evaluated the tolerance strategies of three ornamental plants