The use of artificial intelligence (AI) in pediatric musculoskeletal imaging has undergone significant expansion over the past few years. Until recently, the use of AI was limited to evaluating bone age and opportunistically assessing the bone health... read more
The unprecedented success of mRNA vaccines during the COVID-19 pandemic has accelerated the development of nucleic acid-based therapeutics, particularly in oncology. Decades of foundational research on mRNA design, delivery, and immunogenicity have l... read more
Chinese journal of integrative medicine
Apr 1, 2026
OBJECTIVE: To elucidate the anti-rheumatoid arthritis (RA) mechanisms of Notopterygium incisum essential oil (NIEO) using an integrated strategy combining chemical profiling, network pharmacology, multi-omics data mining, and advanced machine learnin... read more
Despite the initial success of EGFR-targeted therapies in non-small cell lung cancer (NSCLC), the emergence of drug resistance remains a significant clinical challenge. While several approved anticancer drugs exist, the development of resistance to c... read more
CONTEXT: Effective communication of complex medical information is critical for individuals with spinal cord injury (SCI) and their families, but this need remains largely unmet. Artificial intelligence (AI), including large language models (LLMs) li... read more
INTRODUCTION: Large language models (LLMs) are increasingly being explored in healthcare, particularly for enhancing patient education. In spine surgery, LLMs have the potential to enhance communication and support patients through perioperative care... read more
PURPOSE: To determine whether rates of change in lamina cribrosa (LC) depth and curvature in POAG patients are associated with rates of visual field (VF) progression. METHODS: We used 24 radial B-scan spectral domain optic coherence tomographic image... read more
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