Design of Models for the Korean Traditional Medicine Research Trend Analysis System
Sang-Jun Yea +5 more
semanticscholar +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Comparative effectiveness and safety of herbal medicine therapy for low back pain and radiculopathy caused by lumbar intervertebral disc herniation: a study protocol for a pragmatic randomized controlled trial. [PDF]
Kim JH +8 more
europepmc +1 more source
A Bibliometric Analysis of Journals on Traditional Korean Medicine
Yea, Sang-Jun +3 more
openaire +1 more source
A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung +3 more
wiley +1 more source
Retraction to: Rehmannioside D mitigates disease progression in rats with experimental-induced diminished ovarian reserve <i>via</i> Forkhead Box O1/KLOTHO axis. [PDF]
Liang Y, Wang H, Chen J, Chen L, Chen X.
europepmc +1 more source
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi +8 more
wiley +1 more source
Entrustable professional activity-aligned workplace-based assessments in the emergency department: perceptions of emergency medicine residents and assessors. [PDF]
Park KH, Oh YT, Park JO.
europepmc +1 more source
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng +7 more
wiley +1 more source

