Results 41 to 50 of about 24,115,596 (260)

Uncovering Suspicious Activity From Partially Paired and Incomplete Multimodal Data

IEEE Access, 2017
Multimodal data can be used to gain additional perspective on a phenomenon. For applications, such as security and the detection of suspicious activity, the need to aggregate and analyze data from multiple modes is vital.
Carter Chiu, Justin Zhan, Felix Zhan
doaj   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer

Zhongliu Fangzhi Yanjiu
Papillary thyroid carcinoma (PTC) can exhibit lateral neck lymph node metastasis at an early stage. Lateral neck lymph node metastasis is a crucial factor affecting the prognosis of PTC and is an absolute indication for neck lymph node dissection surgery.
Shengli SHAO, Jiheng WANG, Shanting LIU
doaj   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source

Multimodal-fusion-severe-hypo-data

Datasets (raw and preprocessed) for reproducibility results of the paper "Interpretable and multimodal fusion methods to identify severe hypoglycemia in adults with T1D".This study aims to identify severe hypoglycemia (SH) in Type 1 diabetes patients ...
Francisco J. Lara-Abelenda (17896818), David Chushig-Muzo (13720484), David Chushig-Muzo (17896193), Cristina Soguero-Ruiz (13720487)   +3 more
core   +1 more source

LMF-Net: A Learnable Multimodal Fusion Network for Semantic Segmentation of Remote Sensing Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Semantic segmentation of remote sensing images has produced a significant effect on many applications, such as land cover, land use, and smoke detection.
Jihao Li, Wenkai Zhang, Weihang Zhang, Ruixue Zhou, Chongyang Li, Boyuan Tong, Xian Sun, Kun Fu   +7 more
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Proceedings of the 3rd Workshop on Multimodal Output Generation [PDF]

, 2010
van der Sluis I, Bergmann K, van Hooijdonk C, Theune M. Proceedings of the 3rd Workshop on Multimodal Output Generation. In: MOG 2010.
van Hooijdonk, Charlotte, Bergmann, Kirsten, van der Sluis, Ielka, Theune, Mariet   +3 more
core  

Multimodal Machine Learning for Prognosis and Survival Prediction in Renal Cell Carcinoma Patients: A Two-Stage Framework with Model Fusion and Interpretability Analysis

Applied Sciences
Current medical limitations in predicting cancer survival status and time necessitate advancements beyond traditional methods and physical indicators. This research introduces a novel two-stage prognostic framework for renal cell carcinoma, addressing ...
Keyue Yan, Simon Fong, Tengyue Li, Qun Song   +3 more
doaj   +1 more source

IGF2 knockout reduces but does not abolish osteosarcoma growth in vitro and in vivo

FEBS Open Bio, EarlyView.
To test whether endogenous IGF2 promotes osteosarcoma growth, IGF2 was knocked out in Saos2 cells via CRISPR‐Cas9. KO cells showed reduced proliferation in vitro, and knockout xenografts in mice reached only ~25% of wild‐type tumor volume. Insulin‐like growth factor 2 (IGF2) is implicated in osteosarcoma, but direct functional evidence of its role is ...
Shun Yao, Marco Archetti
wiley   +1 more source