Utility of a large language model for extraction of clinical findings from healthcare data following lung ablation: A feasibility study.

To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevant information from healthcare data in patients who have undergone lung microwave tumor ablation (MWA). In this single-center retrospective study, radiological reports and clinic notes of 20 patients were extracted, up to 12 months post-treatment. Utilizing a LLM (GPT 3.

Extraction and classification of structured data from unstructured hepatobiliary pathology reports using large language models: a feasibility study compared with rules-based natural language processing.

Aims: Structured reporting in pathology is not universally adopted and extracting elements essential to research often requires expensive and time-intensive manual curation. The accuracy and feasibility of using large language models (LLMs) to extract essential pathology elements, for cancer research is examined here.

Methods: Retrospective study of patients who underwent pathology sampling for suspected hepatocellular carcinoma and underwent Ytrrium-90 embolisation.

A multimodal neural network with gradient blending improves predictions of survival and metastasis in sarcoma.

The objective of this study is to develop a multimodal neural network (MMNN) model that analyzes clinical variables and MRI images of a soft tissue sarcoma (STS) patient, to predict overall survival and risk of distant metastases. We compare the performance of this MMNN to models based on clinical variables alone, radiomics models, and an unimodal neural network. We include patients aged 18 or older with biopsy-proven STS who underwent primary resection between January 1st, 2005, and December 31st, 2020 with complete outcome data and a pre-treatment MRI with both a T1 post-contrast sequence and a T2 fat-sat sequence available.

Conformational Landscape of NADH and Ion Binding in Water/DMSO Mixtures via P NMR Spectroscopy.

This study reports on the conformational states of nicotinamide adenine dinucleotide (NADH) in water/DMSO mixtures and examines the influence of ion binding. We observe evidence of conformational changes through a series of NMR techniques, including P NMR relaxation ( and ), chemical exchange saturation transfer (CEST), and diffusion-ordered spectroscopy (DOSY) experiments. The observed variation of the conformational states is indicative of the solvent's influence on NADH's structural flexibility.

Interventions for behavioral health comorbidities in the hospice setting: a scoping review.

Background: Behavioral health (BH) comorbidities in hospice patients are widespread and impact important outcomes, including symptom burden, quality of life, and caregiver wellbeing. However, evidence-based BH interventions tailored for the hospice setting remain understudied.

Methods: We conducted a scoping review with the objective of mapping studies of interventions for BH comorbidities in the hospice setting.