Results 171 to 180 of about 73,359 (292)

Multi‐Omics Integration for Advancing Glioma Precision Medicine

Annals of Clinical and Translational Neurology, Volume 13, Issue 1, Page 4-13, January 2026.
ABSTRACT Gliomas are among the most malignant and aggressive tumors of the central nervous system, characterized by the absence of early diagnostic markers, poor prognosis, and a lack of effective treatments. Advances in high‐throughput technologies have facilitated a refined molecular classification of gliomas, incorporating genetic features. However,
Maria Guarnaccia, Valentina La Cognata, Giulia Gentile, Giovanna Morello, Sebastiano Cavallaro   +4 more
wiley   +1 more source

Multiparametric MRI-Derived Habitat Radiomics in Subregional Analysis for Predicting Axillary Lymph Node Metastatic Burden in Breast Cancer. [PDF]

Technol Cancer Res Treat
Han Y, Gao F, Ouyang A, Wang J, Zhang C, Chen G, Bing X, Gao Z.   +7 more
europepmc   +1 more source

Prediction of Breast Cancer Response to Neoadjuvant Therapy with Machine Learning: A Clinical, MRI-Qualitative, and Radiomics Approach [PDF]

Rami Hajri, Charles Aboudaram, Nathalie Lassau, Tarek Assi, Leony Antoun, Joana Ribeiro, Magali Lacroix‐Triki, Samy Ammari, Corinne Balleyguier   +8 more
openalex   +1 more source

Development and multicenter validation of a CT-based radiomics signature for discriminating histological grades of pancreatic ductal adenocarcinoma

, 2020
Na Chang, Lingling Cui, Yahong Luo, Zhihui Chang, Bing Yu, Zhaoyu Liu   +5 more
openalex   +2 more sources

MRI Radiomics for Prediction of Tumor Response and Downstaging in Rectal Cancer Patients after Preoperative Chemoradiation [PDF]

, 2020
Haihui Chen, Liting Shi, K.N.B. Nguyen, Arta M. Monjazeb, Karen Matsukuma, Thomas W. Loehfelm, Haixin Huang, Jianfeng Qiu, Yi Rong   +8 more
openalex   +1 more source

Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials

Advanced Science, Volume 13, Issue 3, 14 January 2026.
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang, Yiran Fang, Xiatong Huang, Guichuang Ma, Qianqian Mao, Xiansheng Lu, Guangda Rong, Yunfang Yu, Yuanyuan Wang, Zhenhua Huang, Huiying Sun, Jiani Wu, Wenchao Gu, Na Huang, Jianhua Wu, Rui Zhou, Xiaoxiang Rong, Siting Zheng, Shaowei Li, Gaofeng Wang, Ling Wang, Wenjun Qiu, Luyang Jiang, Peng Luo, Yonggang Liu, Jianping Bin, Yulin Liao, Min Shi, Zuqiang Wu, Jiguang Wang, Wangjun Liao, Gang Chen, Dongqiang Zeng   +32 more
wiley   +1 more source

Neuroimaging and Transcriptomic Insights Into Iron Accumulation and Glymphatic Dysfunction in Olfactory Dysfunction

CNS Neuroscience &Therapeutics, Volume 32, Issue 1, January 2026.
Exploring iron accumulation and lymphatic function can assess the expression and change of neurotoxins in olfactory dysfunction (OD). This study further combines transcriptome analysis to demonstrate the biological pathways linked to neurotoxins, offering new insights into OD's neurobiology.
Chantat Leong, Jixin Luan, Ruisi Wang, Manxi Xu, Hongwei Yu, Li Zhu, Ni Shu, Gaoxiang Ouyang, Hui Xia, Guolin Ma, Zhen Yuan   +10 more
wiley   +1 more source

Contrast-enhanced CT-based radiomics for predicting visceral pleural invasion in early-stage non-small cell lung cancer. [PDF]

Insights Imaging
Luo Q, Li H, Zheng Y, Lu Y, Teng L, Fan J, Han X, Shi H.   +7 more
europepmc   +1 more source

Radiomic signature [PDF]

, 2020
openaire   +1 more source

Differences in the Efficacy of Cognitive Function Treatment Related to Functional Patterns in the Frontal‐Limbic Network in Patients With Bipolar Disorder

CNS Neuroscience &Therapeutics, Volume 32, Issue 1, January 2026.
Graphical Abstract of Differences in the Efficacy of Cognitive Function Treatment Related to Functional Patterns in the Frontal‐Limbic Network in Patients with Bipolar Disorder. ABSTRACT Background This study aimed to identify neurobiomarkers that predict the efficacy of treatment of cognition in patients with bipolar disorder (BD).
Sujuan Li, Yangpan Ou, Haiping Liu, Qianyu Dong, Yan Qiu, Ziwei Teng, Hui Tang, Hui Xiang, Guowei Wu, Jindong Chen, Bolun Wang, Lutao Jiang, Haishan Wu   +12 more
wiley   +1 more source