Measuring Digital Health Literacy in Older Adults: Development and Validation Study.

Background: New health care services such as smart health care and digital therapeutics have greatly expanded. To effectively use these services, digital health literacy skills, involving the use of digital devices to explore and understand health information, are important. Older adults, requiring consistent health management highlight the need for enhanced digital health literacy skills.

Enhancing Clinical Data Extraction from Pathology Reports: A Comparative Analysis of Large Language Models.

This study evaluates the efficacy of a small large language model (sLLM) in extracting critical information from free-text pathology reports across multiple centers, addressing the challenges posed by the narrative and complex nature of these documents. Employing three variants of the Llama 2 model, with 7 billion, 13 billion, and 70 billion parameters, the research assesses model performance in both zero-shot and five-shot settings, offering insights into the impact of example-based learning. A specialized information extraction tool utilizing regular expressions for pattern identification serves as the benchmark for evaluating the models' accuracy.

Development of Integrated Data Quality Management System for Observational Medical Outcomes Partnership Common Data Model.

The amount of research on the gathering and handling of healthcare data keeps growing. To support multi-center research, numerous institutions have sought to create a common data model (CDM). However, data quality issues continue to be a major obstacle in the development of CDM.

Text Extraction and Standardization System Development for Pathological Records in the Korea Biobank Network.

In Korea, the Korea Centers for Disease Control and Prevention operates the Korea BioBank Network (KBN). KBN has pathological records that collected in Korea and it is useful dataset for research. In this study, we established system that time efficient and reduced error by step-by-step data extraction process from KBN pathological records.

Text Extraction and Standardization System Development for Pathological Records in the Korea Biobank Network.

In Korea, the Korea Centers for Disease Control and Prevention operates the Korea BioBank Network (KBN). KBN has pathological records that collected in Korea and it is useful dataset for research. In this study, we established system that time efficient and reduced error by step-by-step data extraction process from KBN pathological records.

Environmentally benign and facile reduction of graphene oxide by flash light irradiation.

In this work, we demonstrate an environmentally benign and facile flash light irradiation process to reduce graphene oxide (GO). GO thin films were prepared by a vacuum filtration process, and these films were reduced by exposure to flash light irradiation for a few milliseconds at room temperature under ambient conditions. Flash light conditions such as energy, pulse width, and pulse number were varied to determine optimal conditions for this photothermal reduction of GO.

A highly reliable copper nanowire/nanoparticle ink pattern with high conductivity on flexible substrate prepared via a flash light-sintering technique.

In this work, copper nanowires (NWs) and Cu nanoparticles (NPs) were employed to increase the reliability of a printed electrode pattern under mechanical bending fatigue. The fabricated Cu NW/NP inks with different weight fractions of Cu NWs were printed on a polyimide substrate and flash light-sintered within a few milliseconds at room temperature under ambient conditions. Then, 1000 cycles of outer and inner bending fatigue tests were performed using a lab-made fatigue tester.