Results 181 to 190 of about 73,359 (292)

Integrating deep learning with multimodal MRI habitat radiomics: toward personalized prediction of risk stratification and androgen deprivation therapy outcomes in prostate cancer. [PDF]

Insights Imaging
Zhang YF, Zhou C, Wang J, He H, Yang J, Zhang W, Hu H, Wang Q, He W, Wang C, Wang R, Zhao L, Zhou F.   +12 more
europepmc   +1 more source

Bevacizumab in ovarian cancer: Clinical data and predictive and prognostic biomarkers

Clinical and Translational Medicine, Volume 16, Issue 1, January 2026.
Evidence supporting bevacizumab in ovarian cancer and predictive biomarkers: highlighting opportunities to improve patient selection and advance personalised treatment strategies. Abstract Angiogenesis, driven by the vascular endothelial growth factor (VEGF)/VEGFR signalling axis under hypoxic conditions, is one of the hallmarks of ovarian cancer (OC),
Maria Rosaria Lamia, Erica Perri, Gustavo Baldassarre, Sandro Pignata, Chiara D'Alessio, Davide Limongello, Francesca Basso‐Valentina   +6 more
wiley   +1 more source

Using SHAP and LIME to Explain Machine Learning Models Predicting Comorbid Depression and Stroke From Daily Dietary Nutrient Intake in a US Population‐Based Study

Food Science &Nutrition, Volume 14, Issue 1, January 2026.
This study used interpretable machine learning to identify dietary nutrient patterns associated with depression‐stroke comorbidity in U.S. adults aged 50 years and older. While overall nutrient mixtures showed no significant association, specific micronutrients including vitamins B1, B12, and C, zinc, and caffeine consistently predicted comorbidity ...
Hongwei Liu, Minghui Wu, Peng Wei, Haixia Fan, Miaomiao Hou   +4 more
wiley   +1 more source

A radiomics nomogram based on ultrasound for predicting ablation zone disappearance after microwave ablation in patients with papillary thyroid microcarcinoma: A retrospective study. [PDF]

Sci Prog
Wen Q, Wang Z, Liu Y, Feng Y, Zhang L, Zu Y, Qian L.   +6 more
europepmc   +1 more source

Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach [PDF]

, 2018
Luca Boldrini, Davide Cusumano, Giuditta Chiloiro, Calogero Casà, Carlotta Masciocchi, Jacopo Lenkowicz, Francesco Cellini, N. Dinapoli, L. Azario, S. Teodoli, Maria Antonietta Gambacorta, Marco De Spirito, Vincenzo Valentini   +12 more
openalex   +1 more source

Cavitation of Pulmonary Metastases During Enfortumab Vedotin for Metastatic Ureteral Urothelial Carcinoma

IJU Case Reports, Volume 9, Issue 1, January 2026.
ABSTRACT Introduction Enfortumab vedotin (EV), a Nectin‐4–targeted antibody–drug conjugate, is active in previously treated urothelial carcinoma. Cavitation of pulmonary metastases is classically linked to squamous histology or anti‐angiogenic/cytotoxic regimens; rarely reported under EV.
Fumihiro Ito, Koki Kobayashi, Gaku Hayashi, Shunsuke Kamijo, Takashi Fujita   +4 more
wiley   +1 more source

Ultrasound-based radiomics for the evaluation of breast cancer. [PDF]

Front Oncol
Sun FY, Meng DL, Liu L, Cao XQ, Fu L, Meng L, Cui XW, Pan XF.   +7 more
europepmc   +1 more source

Comprehensive Multitask Ensemble Segmentation and Clinical Interpretation of Pancreatic and Peripancreatic Anatomy With Radiomics and Deep Learning Features

International Journal of Imaging Systems and Technology, Volume 36, Issue 1, January 2026.
ABSTRACT To develop and validate a multitask deep learning framework for the simultaneous segmentation and clinical classification of pancreatic and peripancreatic anatomical structures in contrast‐enhanced CT imaging, enabling robust, automated diagnostic assessment and TNM staging.
Ming Jiang, Jinye Hu, Jie Zheng, Jin Wang, Xiaohui Ye   +4 more
wiley   +1 more source

From Testis to Retroperitoneum: The Role of Radiomics and Artificial Intelligence for Primary Tumors and Nodal Disease in Testicular Cancer: A Systematic Review. [PDF]

Medicina (Kaunas)
Telecan T, Munteanu VC, Gaia-Oltean AI, Crivii CB, Capraș RD.   +4 more
europepmc   +1 more source

18F-FDG PET/CT radiomic analysis with machine learning for identifying bone marrow involvement in the patients with suspected relapsed acute leukemia [PDF]

, 2019
Hao, Keji, Li, Hebei, Wahl, Richard L., Wang, Qian, Wang, Xiuying, Xin, Bowen, Xu, Chongrui, Zhao, Yunyun, Zheng, Chaojie, Zhou, Yun   +9 more
core   +1 more source