Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study.

Background: Prediction models have demonstrated a range of applications across medicine, including using electronic health record (EHR) data to identify hospital readmission and mortality risk. Large language models (LLMs) can transform unstructured EHR text into structured features, which can then be integrated into statistical prediction models, ensuring that the results are both clinically meaningful and interpretable.

Objective: This study aims to compare the classification decisions made by clinical experts with those generated by a state-of-the-art LLM, using terms extracted from a large EHR data set of individuals with mental health disorders seen in emergency departments (EDs).

The RAGE Inhibitor TTP488 (Azeliragon) Demonstrates Anti-Tumor Activity and Enhances the Efficacy of Radiation Therapy in Pancreatic Cancer Cell Lines.

Pancreatic cancer is the third leading cause of cancer-related mortality in the United States, with rising incidence and mortality. The receptor for advanced glycation end products (RAGE) and its ligands significantly contribute to pancreatic cancer progression by enhancing cell proliferation, fostering treatment resistance, and promoting a pro-tumor microenvironment via activation of the nuclear factor-kappa B (NF-κB) signaling pathways. This study validated pathway activation in human pancreatic cancer and evaluated the therapeutic efficacy of TTP488 (Azeliragon), a small-molecule RAGE inhibitor, alone and in combination with radiation therapy (RT) in preclinical models of pancreatic cancer.

Repeated 5-aminolevulinic acid mediated sonodynamic therapy using magnetic resonance guided focused ultrasound in rat brain tumour models.

Sonodynamic therapy is an emerging therapeutic approach against brain tumours. However, the treatment scheme and ultrasound parameters have yet to be explored for clinical translation. Our study aimed to optimize ultrasound parameters for sonodynamic therapy (SDT) with 5-ALA as a sonosensitizing agent and to evaluate its therapeutic outcome on the rodent 9L gliosarcoma and the human U87 glioblastoma models.