Historic land-use practices are important for understanding present-day patterns of ecological productivity and resilience. A longstanding challenge, however, has been how to discern different land-use activities across landscapes from archaeological...
The assessment of short-answer questions (SAQs) in medical education is resource-intensive, requiring significant expert time. Large Language Models (LLMs) offer potential for automating this process, but their efficacy in specialized medical educati...
International journal of pharmaceutics
Aug 24, 2025
PURPOSE: The development of a novel lipid-based formulation for apalutamide, a potent androgen receptor inhibitor for non-metastatic castration-resistant prostate cancer (nmCRPC), is explored in this study.
International journal of molecular medicine
Aug 24, 2025
Pathogens, including bacteria, viruses and fungi, employ virulence genes to invade their hosts, circumvent immunity and induce diseases. The present review examines the categorization and regulatory mechanisms of virulence genes and their co‑evolutio...
Biochemical and biophysical research communications
Aug 24, 2025
Accurate prediction of long non-coding RNA (LncRNA) subcellular localization is crucial for understanding its biological functions. In this study, we proposed a novel deep learning framework, LncMamba, which utilizes a two-layer FPN network for multi...
Our study aimed to evaluate the survival impact of adjuvant radiotherapy (RT) following breast-conserving surgery (BCS) in elderly male patients with early-stage, low-risk breast cancer (node-negative, HR+), and to identify RT-benefiting subgroups us...
Humans tackle unknown tasks by integrating information from multiple sensory modalities. Existing robotic frameworks struggle to achieve effective multimodal manipulation, especially when sufficient training data is lacking. This study introduces "Pa...
The patient-therapist interpersonal dynamics is a cornerstone of psychotherapy, yet how it shapes clinical outcomes remains underexplored and difficult to quantify. This is also true in autism, where interpersonal interplay is recognized as an active...
Urinary tract infections (UTIs) are among the most common bacterial infections, yet they are both frequently misdiagnosed and inappropriately treated. We aimed to determine whether a machine learning model could accurately predict bacteriuria by usin...
Glioblastoma is an aggressive, malignant primary brain tumour and the most prevalent histological type of glioma. Our study attempted to investigate the independent predictors of overall survival (OS) and cancer-specific survival (CSS) in Asian patie...
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