Results 181 to 190 of about 281,019 (306)

Spatial Profiling Reveals Distinct Molecular and Immune Evolution of Mouse Lung Adenocarcinoma Precancers with or Without Carcinogen Exposure

Advanced Science, EarlyView.
Tumor evolution in lung adenocarcinoma is shaped by genetic alterations and spatial immune dynamics. By integrating whole‐exome sequencing, imaging mass cytometry, and spatial transcriptomics across two mouse models, this study reveals how mutational burden, immune infiltration, and cell–state interactions evolve during early and late carcinogenesis ...
Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian‐Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao‐Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y. Liu, Beibei Huang, Frank R. Rojas, Parra Cuentas. Edwin Roger, Ou Shi, Monique B. Nilsson, Alissa Poteete, Khaja B. Khan, Wei Lu, Luisa M. Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I. Wistuba, Zhubo Wei, Linghua Wang, Don L. Gibbons, Ken Chen, Alexandre Reuben, Jason M. Schenkel, John V. Heymach, Chao Cheng, Jia Wu, Jianjun Zhang   +34 more
wiley   +1 more source

Incomplete Radiology Requests Are the Norm: A Quality Audit at a Moroccan Tertiary Hospital. [PDF]

Cureus
Ayoub EH, Youssef B, Boutakioute B, Ouali Idrissi M, Cherif Idrissi El Ganouni N.   +4 more
europepmc   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

The Use of Metaverse in Radiology: A Systematic Review. [PDF]

Health Sci Rep
Amiri P, Khodaveisi T, Aslani N, Ferdos H, Kornokar R.   +4 more
europepmc   +1 more source

Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

Advanced Science, EarlyView.
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol, Pascal Benkert, Sabine Schaedelin, Mario Ocampo‐Pineda, Noemi Montobbio, Po‐Jui Lu, Batuhan Ayci, Antonia Wenger, Alfi Aran Shukur, Kornelius Kaim, Lester Melie‐Garcia, Matthias Weigel, Alessio Signori, Pasquale Calabrese, Ludwig Kappos, Maria Pia Sormani, Jens Kuhle, Cristina Granziera   +17 more
wiley   +1 more source

Development of radiology information system : for information desk

Japanese Journal of Radiological Technology, 1997
openaire   +4 more sources

Radiology Staff Experiences With Integrating Artificial Intelligence Into Radiology Practice in a Swedish Hospital: Qualitative Case Study. [PDF]

JMIR Form Res
Nilsen P, Svedberg P, Larsson I, Petersson L, Nygren J, Steerling E, Neher M.   +6 more
europepmc   +1 more source

Early Detection of Cell Death Using Transmembrane Water Exchange Magnetic Resonance Imaging

Advanced Science, EarlyView.
Cell death is important in both the development and treatment of cancer. In this study, it is demonstrated for the first time that a specific measurement of the transmembrane water exchange rate using magnetic resonance imaging can be used as an early marker of cell death in mammalian cells, in animals and in human patients. Abstract Cell death plays a
Athanasia Kaika, Luca Nagel, Ulrike Höckendorf, Bangwen Xie, Geoffrey J. Topping, Mathias Schillmaier, Irina Beer, Frits H. A. van Heijster, Julian Rauch, Tristan A. Kuder, Sandra Sühnel, Bernd Erber, Christian Lohrmann, Simone Ballke, Thomas Metzler, Katja Steiger, Philipp J. Jost, Natalia P. Ivleva, Philipp Paprottka, Jonathan Nadjiri, Kevin M. Brindle, Wolfgang A. Weber, Franz Schilling   +22 more
wiley   +1 more source

AI-driven integration of imaging and radiology language improves stroke mortality prediction. [PDF]

Front Neurol
Alotaibi A, Moustafa A, Abualloush L.
europepmc   +1 more source

APOE‐stratified Proteomic and Metabolomic Analysis Reveals Mitochondrial Dysfunction Inflammation and Lipid Dysregulation in Alzheimer's Disease

Advanced Science, EarlyView.
A large‐scale multiomic dataset (proteomic and metabolomic) comprising 3,060 plasma samples were analyzed to identify proteins, metabolites, pathways, and protein‐associated drugs linked to Alzheimer’s Disease (AD) independently of apolipoprotein E (APOE). AD was associated with a distinct molecular signature that captures.
Fuhai Li, Yike Chen, Daniel Western, Muhammad Ali, Menghan Liu, Katherine Gong, Ying Xu, Joseph Lowery, David M. Holtzman, Chloe Robins, John D. Eicher, Yen‐Ning Huang, ShiWei Liu, Tamina Park, Andrew J. Saykin, Kwangsik Nho, Mahdi Moqri, Richard C. Mohs, Amelia Farinas, Patricia Moran‐Losada, Hamilton Se‐Hwee Oh, Tony Wyss‐Coray, Carlos Cruchaga   +22 more
wiley   +1 more source