Results 171 to 180 of about 278,911 (286)

Future prospects for the radiology information system

International Journal of Radiology and Diagnostic Imaging, 2023
Dr. Ruchi Baraya, Dr. Hazem Mahmoud Abdelmonem Hasish   +1 more
openaire   +1 more source

Legumain Restrains Granuloma Formation by Inhibiting mTORC1/STAT1‐Mediated M1 Macrophage Polarization in Sarcoidosis

Advanced Science, EarlyView.
Legumain (LGMN) is upregulated in macrophages during sarcoid‑like granuloma formation. Macrophage‑derived LGMN binds to integrin αvβ3 and suppresses mTORC1/STAT1 signaling to restrain M1 macrophage polarization. Intratracheal delivery of lipid nanoparticles carrying Lgmn plasmid DNA (pDNA) elevates LGMN expression and effectively attenuates pulmonary ...
Mengyuan Liu, Yueyin Han, Bingbing Xie, Lili Zhu, Wenxiu Xu, Yinzhen Han, Yue Liao, Shuwei Gao, Dingyuan Jiang, Jing Geng, Zhen Li, Yinan Hu, Huaping Dai   +12 more
wiley   +1 more source

Expanding the applications of artificial intelligence in emergency radiology: Advancing precision medicine and resource efficiency. [PDF]

World J Radiol
He ZX, Wang J, Yang JS.
europepmc   +1 more source

Multi‐Scale Mapping of Gene Expression from Whole‐slide Images for Identifying Phenotype‐Associated Subpopulations

Advanced Science, EarlyView.
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng, Jiajing Xie, Luqi Wang, Hailong Xie, Tong Zhi, Yujia Guo, Bofeng Zhu, Dong Wang, Yu Chen   +8 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Accuracy and reproducibility of tumor size measurement using a deep-learning-based CDSS in resected lung cancer. [PDF]

PLoS One
Kim EY, Kim JS, Jin KN, Cho YJ, Kim JY.
europepmc   +1 more source

A Mitochondria‐Specific Nanomedicine for Synergistic Chemo‐Photothermal Therapy and Immunogenic Activation Against Breast Cancer

Advanced Science, EarlyView.
Peptide dendrimer–based nanoplatform with mitochondria‐targeting capability was developed for synergistic chemo‐photothermal therapy. The system promotes efficient transcytosis, induces mitochondrial dysfunction, triggers immunogenic cell death (ICD), and enhance antitumor immunity by promoting dendritic cell maturation and T‐cell activation, resulting
Min Li, Jiangqi Feng, Junyang Zhuang, Qingguo Zhong, Yanda Li, Yanzhuo Lv, Shaoteng Huang, Xiangyu Huang, Mingbo Zhang, Xiaofeng Cai, Yuxin Wang, Wenping Chen, Zhenyu Duan, Zhou Chen, Kui Luo, Ning Li   +15 more
wiley   +1 more source

How to bring generative AI to oncology practice. [PDF]

ESMO Real World Data Digit Oncol
Truhn D, Kather JN.
europepmc   +1 more source

Integrating Human Intestinal Organoids into FDA'S New Approach Methodologies for Drug Discovery

Advanced Science, EarlyView.
Illustration summarizes how human intestinal organoids (HIOs) are becoming transformative in preclinical research. Preclinical drug discovery pipelines often rely on animal models for ADMET studies, even though interspecies ADME gaps, poor external validity, and high attrition rates are common.
Debarun Patra, Ibrahim M. Sayed, Souhrid Mukherjee, Honit Piplani, Aida Habtezion, Michael J. Rosen, Jospeh C. Wu   +6 more
wiley   +1 more source

Comparison of biomechanical assessment between upright and supine inspiratory-expiratory area-detector CT in progressive pulmonary fibrosis. [PDF]

Eur Radiol Exp
Ohno Y, Aoyagi K, Ozawa Y, Nomura M, Kimata H, Ito Y, Fujii K, Ueda T, Araoka J, Akino N, Yoshikawa T, Takenaka D, Endo M, Hoshikawa Y, Yasuoka H, Horiguchi T, Goto Y, Hashimoto N, Imaizumi K.   +18 more
europepmc   +1 more source