Results 221 to 230 of about 1,907,433 (308)

Elastography evaluation of benign and malignant breast lesions with histopathological data. [PDF]

Bioinformation
Reddy SP, Ranjan RK, Toppo SK, Xalxo AR, Ansari S, Pal S, Ismail M, Oraon M.   +7 more
europepmc   +1 more source

Mitochondrial Localization of Cx26 Promotes Colorectal Cancer Malignancy and Exposes a Fatal Vulnerability to Drug Targeting

Advanced Science, EarlyView.
Mitochondrial localization of Cx26 emerges as a double‐edged sword in colorectal cancer. PIMT‐mediated methylation of Cx26 promotes its mitochondrial localization and stability. Mitochondrial Cx26 then facilitates ER‐mitochondria communication and Ca2+ signaling, thereby promoting metastatic progression. Bortezomib exploits this malignant adaptation by
Jie Wang, Lu Chen, Jia Qin, Xiaoning Wang, Sunlan Ye, Ning An, Mei Bai, Yan Shen, Xuefeng Wu, Qiang Xu   +9 more
wiley   +1 more source

SCOUT® Radar Localisation for Nonpalpable Breast Lesions: A North Queensland Perspective. [PDF]

Cureus
Fisher T, Khoo WSK, Jones AL, Winder A, Miu A, Avramovic J.   +5 more
europepmc   +1 more source

Foundation Model‐Enabled Pathology‐Informed MRI Model for Preoperative Prediction of Vessels Encapsulating Tumor Clusters in Resectable Hepatocellular Carcinoma: A Multicenter Retrospective Study

Advanced Science, EarlyView.
PIVOT uses pathology‐derived morphologic and vascular representations from postoperative H&E and CD34 whole‐slide images to guide model development, while clinical inference requires only preoperative multiparametric MRI. Across five centers, PIVOT enabled accurate preoperative assessment of vessels encapsulating tumor clusters, stratified patients by ...
Zhehan Shen, Wanmin Liu, Xiaoming Li, Wenjie Zou, Yiman Li, Jie Yuan, Yasen Yimit, Shihang Wang, Linhao Qu, Hui Dong, Wei Chen, Ningyang Jia, Peijun Wang   +12 more
wiley   +1 more source

Development and validation of an interpretable ultrasound radiomics model for benign and malignant classification of breast lesions: a multicenter large-sample study. [PDF]

Insights Imaging
Zhang D, Lu WW, Qin XC, Zhou W, Zhang XY, Luo YH, Wu LS, Wu J, Wang JL, Zhao JJ, Zhang L, Zhang CX.   +11 more
europepmc   +1 more source

Cellular Mechanisms Enabling Mitochondria Transfer and Transplantation

Advanced Science, EarlyView.
Mitochondrial transfer and transplantation (mitoTT) is examined as a multistep process governed by distinct transfer routes and post‐transfer checkpoints. Mechanisms controlling mitochondrial uptake, network integration, cristae remodeling, mtDNA maintenance, immune sensing, and quality control are highlighted, revealing key biological and ...
F. Seyma Gokdemir, Yagmur Ozendi, Gokhan Burcin Kubat, Keshav K. Singh   +3 more
wiley   +1 more source

Whole-phase DCE-MRI radiomics for differentiating benign and malignant BI-RADS 4 breast lesions: a comparative machine learning study. [PDF]

BMC Med Imaging
Yang Y, Ding X, Wang R, Wang S, Liu M, Lu H.   +5 more
europepmc   +1 more source

Orthogonal Light‐ and Enzyme‐Triggered and‐Gate Prodrugs for Senolytic Therapy

Advanced Science, EarlyView.
An orthogonal AND‐gate prodrug platform combines 390 nm near‐UV photocleavage with SA‐β‐gal activation to control payload release in senescent cells. Its modular architecture enables 4‐MU fluorescence, doxorubicin‐mediated cytotoxicity, and ARV‐771‐driven BRD4 degradation, supporting stimulus‐controlled senolytic design in cellular and organoid models.
Mengyang Chang, Kaixue Zhang, Junwei Wang, Fangchao Bi, Zhuoxin Dai, Miao Yang, Ming Liu, Huanzhi Peng, Franklin Zhang, Yuan Guo, Jigang Dai, Quanxing Liu, Wei Wang   +12 more
wiley   +1 more source

The additive value of 3D automated breast ultrasound and contrast enhanced spectral mammography in the assessment of suspicious breast lesions. [PDF]

J Egypt Natl Canc Inst
ELmalatawy LH, Elsaid NAE.
europepmc   +1 more source

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

Advanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu, Jinpo Su, Haotian Zhou, Yilin Shen, Mengke Qin, Yingjie Luo, Tiancai Wang, Zhenglin Chen, Yuanyuan Wang, Xiaokai Ma   +9 more
wiley   +1 more source