https://scholar.dgist.ac.kr/handle/20.500.11750/371 2026-07-01T02:47:18Z https://scholar.dgist.ac.kr/handle/20.500.11750/60439 Title: 고정형 다중 저항 기반 어레이 및 고정형 다중 저항 기반 어레이가 적용된 고정형 다중저항 기반 사물 인지 시스템 Author(s): 이현준; 노희연 https://scholar.dgist.ac.kr/handle/20.500.11750/60425 Title: 멀티 모달 데이터 이상 감지 기술 Author(s): 이경은 https://scholar.dgist.ac.kr/handle/20.500.11750/60424 Title: Color Dependence of OLED Phototherapy for Cognitive Function and Beta-Amyloid Reduction through ADAM17 and BACE1 Author(s): Noh, Byeongju; Lee, Hyun-Ju; Lee, Jiyun; Lee, Ji-Eun; Joo, Bitna; Jung, Young-Hun; Park, Minwoo; Kang, Sora; Oh, Seokjun; Hwang, Jeong-Woo; Kang, Dae-Si; Jeon, Yongmin; Lee, So-Min; Hoe, Hyang-Sook; Koo, Ja Wook; Choi, Kyung Cheol Abstract: Previous studies have reported that 40 Hz visual stimulation (acute white light exposure) reduced A beta levels in Alzheimer's disease (AD) mouse model. However, whether different light colors distinctly regulate AD pathologies has not been well characterized. In the present study, an optimized organic light-emitting diode (OLED)-based visual stimulation platform was developed to provide uniform illumination without blind spots, and the color-dependent effects on cognitive function and amyloid-beta (A beta) pathology were investigated in 5xFAD mice, an A beta-overexpressing AD model. Acute exposure to white or red OLED light (1 h/day for 2 days) significantly improved cognitive function, reduced hippocampal A beta plaque accumulation via increasing ADAM17 activity, and downregulated proinflammatory cytokine IL-1 beta levels in 3-month-old 5xFAD mice, whereas green or blue OLED light did not produce these effects. In addition, chronic white and red OLED stimulation (1 h/day for 2 weeks) was shown to enhance recognition memory; however, only red light further diminished A beta plaque deposition by upregulating ADAM17 activity and suppressing BACE-1 activity without altering neuroinflammation in 6-month-old 5xFAD mice. Moreover, acute white and red OLED exposure (1 h, single session) was observed to enhance c-fos expression, which is associated with neural activation along the visual pathway, thereby suggesting a mechanistic link between light stimulation and cognitive enhancement. Taken together, these findings demonstrate that color-dependent visual stimulation may serve as a promising electroceutical strategy for AD, with red light uniquely combining memory enhancement, A beta reduction via ADAM17 upregulation and BACE1 suppression, and anti-inflammatory effects. 2025-09-30T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60415 Title: A robust vision language model for molecular status prediction and radiology report generation in adult-type diffuse gliomas Author(s): Park, Yae Won; Kang, Myeongkyun; Ryu, Huiseung; Han, Kyunghwa; Sim, Yongsik; Park, Ji Eun; Chang, Jong Hee; Kim, Se Hoon; Lee, Seung-Koo; Park, Sang Hyun; Ahn, Sung Soo Abstract: We aimed to establish a robust vision-language model ("Glio-LLaMA-Vision") for molecular status prediction and radiology report generation (RRG) in adult-type diffuse gliomas. Multiparametric MRI data and paired radiology reports from 1001 patients with adult-type diffuse gliomas were included in the institutional training set. A vision-language model, Glio-LLaMA-Vision, was developed from LLaMA 3.1 pre-trained on 2.79 million biomedical image-text pairs from PubMed Central and further fine-tuned from the institutional training set. The performance was validated in 100 patients and 75 patients with paired MRI-radiology reports from an institutional validation set and another tertiary institution (AMC), and in 170 and 477 patients with MRI from TCGA and UCSF datasets, respectively. In terms of IDH mutation status prediction, Glio-LLaMA-Vision showed AUCs ranging from 0.85-0.95 in the internal validation and external datasets. In terms of RRG, the BLEU-1 and ROUGE-L scores were 0.50 and 0.49 in the internal validation, respectively, and 0.32 and 0.36 on the AMC dataset, respectively. Overall, 37.8% of generated reports were considered superior or equal to the original reports, while 91.0% of generated reports were considered clinically acceptable by neuroradiologists. In conclusion, Glio-LLaMA-Vision demonstrates promising performance in molecular status prediction and RRG in adult-type diffuse gliomas, showing potential for clinical assistance. 2026-03-31T15:00:00Z