Results 121 to 130 of about 907,320 (349)

Leucine‐Dependent SLC7A5–PGAM5 Interaction Promotes Advanced Atherosclerosis Through Hindering Mitochondrial Function of Macrophages

Advanced Science, EarlyView.
Higher plasma leucine is associated with increased risk of new‐onset myocardial infarction. Leucine deprivation alleviates advanced atherosclerosis in mice. Tumor‐induced leucine deprivation reprograms macrophage metabolism and increases CD5Lhi macrophages in mouse plaques. Mechanistically, leucine deficiency reduced SLC7A5‐PGAM5 binding in macrophages,
Shan Zhong, Xueyu Wang, Qingsong Li, Siqi Wang, Bin Sun, Wenjun Ni, Gengyu Zhou, Fan Wang, Xianwei Xie, Cheng Jin, Gang Xu, Peng Zhao, Xiang Peng, Feiyuan Han, Xiangwen Xi, Yidan Wang, Juan Xu, Yue Wang, Xia Gu, Shuo Li, Jian Zhang, Shuijie Li, Jinwei Tian   +22 more
wiley   +1 more source

Intelligent Soft Opto‐Magnetic Robot for Minimally Invasive Interventional Therapy

Advanced Science, EarlyView.
An intelligent soft opto‐magnetic (iSOM) robot is developed that integrates remote magnetic actuation, skin‐mimic tactile perception, and photothermal ablation in a near‐millimeter‐scale design. It enables precise intraluminal navigation and localized ablation while providing real‐time optical feedback to support safe and accurate minimally invasive ...
Jingjing Guo, Xiaoyan Guo, Jian Wei, Miaowen Jiang, Qifa Su, Xian Xia, Zhuozhou Li, Rong Cai, Jianguo Ma, Bo Fu, Ming Li, Jing Zhong, Lijun Xu, Xunming Ji   +13 more
wiley   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

A Mini‐Patch Magnetic Insulin Pump for Enhanced Delivery Resolution and Accuracy

Advanced Intelligent Systems, EarlyView.
A miniaturized, high‐resolution magnetic insulin pump is developed by proposing a unique magnetic pumping mechanism, where insulin dispensing is achieved through a magnetic soft actuator that directly compresses the insulin chamber. The device occupies less than one‐quarter the size of piston‐based pumps and allows for a 0.01 μL delivery resolution ...
Qiji Ze, Shuhao Huang, Yilong Chang, Jize Dai, Rayhan A. Lal, Ruike Renee Zhao   +5 more
wiley   +1 more source

Valvular heart diseases (7). Pulmonary vascular disease in patients with ruptured chordae tendineae in the mitral valve.

, 1990
S. Hachimaki
openalex   +2 more sources

Comparison of Ca2+, F4/80, and PARP-1/NF-κB Pathway Expression in Atrial Myocardium of Patients with Sinus Rhythm and Atrial Fibrillation in Rheumatic Heart Valve Disease [PDF]

, 2023
Lingping Xu, Tianyu Meng, Yidan Wang, Yan Yang, Chaofeng Sun   +4 more
openalex   +1 more source

Efficacy and safety of mechanical pulmonary valve replacement: a comprehensive systematic review and meta-analysis

Journal of Cardiothoracic Surgery
Background Pulmonary valve replacement (PVR) is the most common valve replacement procedure for pulmonary valve dysfunction in congenital heart diseases (CHD).
Ali Rafati, Sina Rashedi, Yeganeh Pasebani, Milad Vahedinejad, Hamed Ghoshouni, Yaser Toloueitabar, Mostafa Mousavizadeh, Sedigheh Saedi, Amirhosein Jalali, Zahra Khajali, Hassan Tatari, Fahimeh Farrokhzadeh, Hooman Bakhshandeh, Maziar Gholampour Dehaki, Behshid Ghadrdoost, Parham Sadeghipour   +15 more
doaj   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Detection of Mitral Valve Diseases by Bicoherence Analysis of Heart Sound Signals

, 2017
Ömer AKGÜN, H. Selçuk Varol
openalex   +1 more source

Non‐RASopathy Genetic Syndromes Identified as the Molecular Cause of Disease in Patients Previously Diagnosed With Noonan Syndrome

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Noonan Syndrome (NS) is a clinically and genetically heterogeneous condition characterized by typical facial dysmorphisms, short stature, congenital heart defects, and developmental delays. While variants in genes such as PTPN11, SOS1, and RAF1 account for most genetically confirmed cases, diagnosis is challenging due to phenotypic overlap ...
Gabriela Jeesoo Kim, Alexsandra Christianne Malaquias, Debora Romeo Bertola, Raissa Carneiro Rezende, Laurana De Polli Cellin, Lucas Vieira Lacerda Pires, Ana Maria Santillan‐Vasconez, Antônio Marcondes Lerario, Renata da Cunha Scalco, Alexander Augusto de Lima Jorge   +9 more
wiley   +1 more source