日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Apoptotic Cancer Cell-Primed Cancer-Associated Fibroblasts Suppress Immunosuppressive Macrophages via WISP-1-Integrin α5β3-STAT1 Signaling in Lung Cancer

凋亡癌细胞启动的癌相关成纤维细胞通过WISP-1-整合素α5β3-STAT1信号通路抑制肺癌中的免疫抑制性巨噬细胞

Kyungwon Yang,Kiyoon Kim,Hee Ja Kim,Jeesoo Chae,Ye-Ji Lee,Shinyoung Kim,Young-Ho Ahn,Jihee Lee Kang

Neuregulin induces prostate cancer cell migration via HER3/HER2-FAK/Src signaling axis.

神经调节蛋白通过 HER3/HER2-FAK/Src 信号轴诱导前列腺癌细胞迁移。

Lim Eun Jin, Yoon Yu Jeong, Kim Yehwon, Moon Hyung Hwan, Choi Yung-Hyun, Kim Young-Ho

Prediction of infliximab and anti-drug antibody concentrations in patients with inflammatory bowel disease using machine learning models with real-world data from a prospective cohort study

利用来自前瞻性队列研究的真实世界数据,通过机器学习模型预测炎症性肠病患者的英夫利昔单抗和抗药抗体浓度

Kim, Minjung; Song, Joo Hye; Hong, Sung Noh; Kim, Myeong Gyu; Kim, Eun Ran; Chang, Dong Kyung; Kim, Young-Ho

Prediction of recovery grade in Bell's palsy using machine learning models

利用机器学习模型预测贝尔氏麻痹症的恢复等级

Han, Sang-Yoon; Park, Jeong Rye; Oh, Heonjeong; Park, Sung-Min; Park, Jongyook; Kim, Young Ho

Correction: Predicting camouflage treatment outcomes in skeletal class III malocclusion using machine learning

更正:利用机器学习预测骨性 III 类错颌畸形的掩饰治疗效果

Koh, Jungwook; Kim, Young Ho; Kim, Namgi; Kim, Reuben; Song, Seung Il; Chae, Hwa Sung

Predicting camouflage treatment outcomes in skeletal class III malocclusion using machine learning

利用机器学习预测骨性III类错颌畸形矫正治疗效果

Koh, Jungwook; Kim, Young Ho; Kim, Namgi; Kim, Reuben; Song, Seung Il; Chae, Hwa Sung

Comprehensive virome analysis of Varroa destructor populations in South Korea

对韩国瓦螨种群进行全面的病毒组分析

Kim, Ji-Young; Moon, Kyung Hwan; Kim, Young Ho; Eliash, Nurit; Yoon, June-Sun

Initial compliance as a predictor of therapeutic outcomes in chronic tinnitus

初始依从性作为慢性耳鸣治疗结果的预测指标

Han, Sang-Yoon; Kim, Soo Min; Bae, Junhyung; Lee, Jehyun; Oh, Sohee; Kim, Young Ho

Predicting orthognathic surgery results as postoperative lateral cephalograms using graph neural networks and diffusion models

利用图神经网络和扩散模型预测正颌手术术后侧位头颅片结果

Kim, In-Hwan; Jeong, Jiheon; Kim, Jun-Sik; Lim, Jisup; Cho, Jin-Hyoung; Hong, Mihee; Kang, Kyung-Hwa; Kim, Minji; Kim, Su-Jung; Kim, Yoon-Ji; Sung, Sang-Jin; Kim, Young Ho; Lim, Sung-Hoon; Baek, Seung-Hak; Park, Jae-Woo; Kim, Namkug

Precise progerin targeting using RfxCas13d: A therapeutic avenue for Hutchinson-Gilford progeria syndrome

利用 RfxCas13d 精准靶向早衰蛋白:治疗哈钦森-吉尔福德早衰综合征的新途径

Unbin Chae ,Hae-Jun Yang ,Hanseop Kim ,Seung Hwan Lee ,Dong Gil Lee ,Jeong Young Koo ,Seung-Min Ha ,Seo-Jong Bak ,Mina Joo ,Hyun Hee Nam ,Kyung-Seob Lim ,Philyong Kang ,Hee-Chang Son ,You Jeong An ,Young-Hyun Kim ,In-Sung Song ,Sang-Hee Lee ,Hae Rim Kim ,Sang-Mi Cho ,Eun-Kyoung Kim ,Ki-Hoan Nam ,Kyung-Sook Chung ,Jae-Yoon Kim ,Seon-Yeop Kim ,Seon-Kyu Kim ,Seon-Young Kim ,Dong-Seok Lee ,Jin-Man Kim ,Young-Ho Park ,Sun-Uk Kim