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Vol 34,2025 No.8
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Vol 34,2025
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Contents
Vol 34,2025 No.8
Special Issue on Rare Event Research Driven by Digital Intelligence
Date of publication: August 15, 2025
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Vol 34,2025 No.7
Editorial comments of special issue on rare event research driven by digital intelligence
WANG Shengfeng
2025,34(8):845
Editorial Note
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Mining of adverse reaction signals of amlodipine based on the FAERS database and the construction of a digital and intelligent pharmacovigilance platform
HU Yanghui
QIU Ziyan
ZHANG Bingsong
2025,34(8):846-854
Amlodipine
Adverse drug event
Signal mining
FAERS database
Digital intelligent platform
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Association between aldehydes and hyperuricemia based on Bayesian kernel machine regression
BING Shuang
HUANG Ru
ZHANG Yiying
2025,34(8):855-866
Aldehydes
Uric acid
Hyperuricemia
Bayesian kernel machine regression
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Development and validation of an XGBoost-based prediction model for acute liver injury in statin users
MENG Xianglong
YU Yuelin
SUN Yexiang
SHEN Peng
JIANG Zhiqin
ZHU Yu
YIN Yueqi
ZHAN Siyan
WANG Shengfeng
2025,34(8):867-876
Statins
Acute liver injury
Prediction model
XGBoost algorithm
Cost-sensitive learning
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Cognitive trajectories modeling of rare reversion in mild cognitive impairment
QIN Yao
HUO Yanji
ZHOU Jing
ZHOU Yan
HAN Hongjuan
CUI Jing
YU Hongmei
2025,34(8):877-886
Mild cognitive impairment
Reversion
Rare events
Functional principal component analysis
Multi-state model
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Study on the method of using attention mechanism and meta-learning to diagnose autism under small sample multi-omics condition
WANG Qi
XIE Kun
LIANG Xuezhi
LUO Xiangyang
LIU Ying
CHEN Wen
2025,34(8):887-896
Autism diagnosis
Attention mechanism
Meta learning
Small sample
Multi-omics data integration
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Rare disease clinical research data collection and management challenges and digital intelligence response strategies
GUO Jian
Gulidanna·Asihaer
ZHANG Shuyang
2025,34(8):897-907
Rare disease
Data collection
Data management
Digital intelligence
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Design and implementation strategies for rare disease clinical research in the digital intelligence era
SUN Fengyu
CAO Borui
CHEN Nana
ZHONG Xinwen
HOU Yan
PENG Zhihang
2025,34(8):908-916
Rare diseases
Clinical research
Digital intelligence
Artificial intelligence
Study design
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Perioperative rare adverse reactions discovery: real-world data foundations and methodological advances
YIN Xuan
HUANG Ruijian
KONG Siyu
ZHOU Jifang
2025,34(8):917-925
Adverse drug reaction
Perioperative
Pharmacovigilance
Digital and intelligent integration
Real-world study
Methodology
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Research progress on rare real-world data-driven target trial emulation for drug repurposing
LI Bosheng
HUANG Xuan
WANG Wenxuan
YANG Wenyun
YAN Fangrong
2025,34(8):926-937
Target trial emulation
Real-world data
Propensity Score
Drug repurposing
Digital intelligence technology
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Research progress on artificial intelligence methods and applications for small sample data in medicine
WANG Longhao
QIAN Li
WU Yazhou
2025,34(8):938-951
Small sample data
Artificial intelligence methods
Medical applications
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Research progress on big-data-driven analysis strategies for imbalanced data of rare events
ZHOU Jiangjie
WANG Yutong
FENG Tian
MENG Xianglong
LIANG Baosheng
WANG Shengfeng
2025,34(8):952-961
Rare events
Imbalanced data
Data-driven
Deep learning
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Application and frontier exploration of retrieval-augmented generation technology in medical artificial intelligence
JIN Zhe
ZOU Jian
LI Xiao
Lyu Jiaxin
HU Zhongxu
FENG Da
2025,34(8):962-971
Large language model
Retrieval-augmented generation
Hallucination problem
Medical information retrieval
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Application status and development prospect of digital intelligence technology in the diagnosis and treatment of rare diseases
YANG Yujie
QI Leyuan
CAO Yanbo
WEN Xiaotian
LIU Jicong
CHEN Bixiao
LIU Yawei
HE Guohua
TIAN Yu
2025,34(8):972-985
Rare diseases
Digital intelligence
Full life-cycle
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Applications and prospects of transfer learning in rare diseases research
ZHENG Xueying
QIN Guoyou
YU Yongfu
2025,34(8):986-992
Rare diseases
Scarce data
Transfer learning
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