Results 321 to 330 of about 7,544,041 (411)

Multi-omics analysis of copper metabolism-related molecular subtypes and risk stratification for osteosarcoma. [PDF]

Discov Oncol
Zhang Y, Liu W, Liu D, Li X, Zhuang Q, Sun Q, Wu X, Li F.   +7 more
europepmc   +1 more source

Risk stratification with cardiac troponin I in acute coronary syndromes∗∗Editorials published in the Journal of the American College of Cardiology reflect the views of the authors and do not necessarily represent the views of JACC or the American College of Cardiology.

, 2000
Robbert J. de Winter
openalex   +1 more source

PRMT1‐Mediated SWI/SNF Complex Recruitment via SMARCC1 Drives IGF2BP2 Transcription to Enhance Carboplatin Resistance in Head and Neck Squamous Cell Carcinoma

Advanced Science, EarlyView.
PRMT1 drives carboplatin resistance and tumor progression in head and neck squamous cell carcinoma (HNSCC) through a novel, methyltransferase‐independent mechanism. It recruits the SWI/SNF complex to activate IGF2BP2, promoting tumor growth and carboplatin resistance. PBX2 upregulates PRMT1, reinforcing this pathway. This study uncovers a non‐catalytic
Shixian Liu, Wentao Zhang, Weiwei Liu, Zhao Ding, Ruijing Zhang, Yuefeng Han, Zihao Niu, Mengdie Zhang, Hui Li, Dapeng Li, Zixi Wang, Jie Peng, Yu Wu, Yanxun Han, Zihui Xie, Jing Wu, Liang Qin, Zhongdong Hu, Xu Chen, Yunlong Hu, Yehai Liu, Shiyin Ma, Xiaojun Zha   +22 more
wiley   +1 more source

Risk stratification in neuroblastoma patients through machine learning in the multicenter PRIMAGE cohort. [PDF]

Front Oncol
Lozano-Montoya J, Jimenez-Pastor A, Fuster-Matanzo A, Weiss GJ, Cerda-Alberich L, Veiga-Canuto D, Martínez-de-Las-Heras B, Cañete-Nieto A, Taschner-Mandl S, Hero B, Simon T, Ladenstein R, Marti-Bonmati L, Alberich-Bayarri A.   +13 more
europepmc   +1 more source

A Novel Dual‐Network Approach for Real‐Time Liveweight Estimation in Precision Livestock Management

Advanced Science, EarlyView.
A novel dual‐network framework is proposed for real‐time, non‐contact liveweight estimation of pigs. By extracting contour information instead of segmented images, the method achieves high accuracy (R2 = 0.993) and an exceptional speed of 1131.6 FPS. This approach enhances automation in livestock farming, providing a scalable and efficient solution for
Ximing Dong, Caiming Zhang, Peiyuan Wang, Dexuan Chen, Gang Jun Tu, Shuhong Zhao, Tao Xiang   +6 more
wiley   +1 more source

Risk Stratification and Treatment Selection in Patients With Asymptomatic Abdominal Aortic Aneurysms.

JAMA Netw Open
Meuli L, Zimmermann A, Petersen JK, Fosbøl EL, Dabravolskaité V, Makaloski V, Eiberg JP, Køber LV, Resch TA.   +8 more
europepmc   +1 more source

Machine learning-based plasma metabolomics for improved cirrhosis risk stratification. [PDF]

BMC Gastroenterol
Song J, Gao Z, Lai L, Zhang J, Liu B, Sang Y, Chen S, Qi J, Zhang Y, Kai H, Ye W.   +10 more
europepmc   +1 more source

Risk stratification in unstable angina: the role of clinical prediction models∗∗Editorials published in the Journal of the American College of Cardiology reflect the views of the authors and do not necessarily represent the views of JACC or the American College of Cardiology.

, 2000
David A. Katz
openalex   +1 more source

Identification of CD38high Monocyte as a Candidate Diagnostic Biomarker and Therapeutic Target for Sepsis

Advanced Science, EarlyView.
This study uncovers that CD38high monocytes discriminate sepsis and sterile inflammation and are associated with 28‐day mortality in bacterial sepsis. Targeting CD38 therapy reduces inflammatory response in monocytes and in sepsis mice model. Mechanistically, CD38‐HIF‐1α/glycolysis/MGO loop exacerbates sepsis‐induced immune dysregulation.
Ning Hua, Limin Kong, Li Fan, Yanan Bai, Yujun Zhou, Yanfang Zhang, Qingwei Zhao, Xiaoyang Lu, Hongyu Yang, Hangyang Li, Peili Ding, Yuyu Nan, Qinghua Ji, Ping Yang, Lu Li, Yijing Xin, Lijuan Zhao, Wei Yang, Wenqiao Yu, Saiping Jiang   +19 more
wiley   +1 more source

Validation of the revised 2022 European LeukemiaNet risk stratification in adult patients with acute myeloid leukemia. [PDF]

Blood Adv
Ruhnke L, Bill M, Zukunft S, Eckardt JN, Schäfer S, Stasik S, Hanoun M, Schroeder T, Fransecky L, Steffen B, Krause SW, Scholl S, Hochhaus A, Sauer T, Kraus S, Schäfer-Eckart K, Kaufmann M, Jost E, Brümmendorf T, Schliemann C, Mikesch JH, Krug U, Hänel M, Morgner A, Schaich M, Neubauer A, Repp R, Niemann D, Seggewiss-Bernhardt R, Meinhardt A, Kullmer J, Kaiser U, Blau W, Kiani A, Grigoleit GU, Giagounidis A, Wurm AA, Altmann H, Middeke JM, Schetelig J, Müller-Tidow C, Stölzel F, Baldus CD, Platzbecker U, Serve H, Bornhäuser M, Thiede C, Röllig C.   +47 more
europepmc   +1 more source