Results 61 to 70 of about 609,343 (292)

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

NKCC1: A key regulator of glioblastoma progression

Molecular Oncology, EarlyView.
Glioblastoma (GBM) progression is driven by disrupted chloride cotransporter homeostasis. NKCC1 is highly expressed in stem‐like, astrocytic, and progenitor cells, correlating with earlier recurrence, while overall survival remains unaffected. NKCC1 serves as a prognostic marker and potential therapeutic target, linking chloride transporter imbalance ...
Anja Thomsen, Diana Freitag, Madlen Haase, Christian Senft, Falko Schwarz, Silke Keiner   +5 more
wiley   +1 more source

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

Multimodal analysis of synchronization data from patients with dementia [PDF]

, 2017
Little is known about the abilities of people with dementia to synchronize bodily movements to music. The lack of non-intrusive tools that do not hinder patients, and the absence of appropriate analysis methods may explain why such investigations remain ...
Desmet, FrankUGent001960895315801000562960971854648585F4230C92-F0ED-11E1-A9DE-61C894A0A6B4, Ehrlé, Nathalie, Lesaffre, MichelineLW17001979151422801001278336F9C4B330-F0ED-11E1-A9DE-61C894A0A6B4, Samson, Séverine, Six, JorenLW170001307802488020016256930000-0001-7671-1907B7F7267C-1676-11E3-8020-67D810BDE39D, Van Dyck, EditheditorLW170020051707618020006701440000-0001-7239-19180DD94610-F0EE-11E1-A9DE-61C894A0A6B4   +5 more
core   +1 more source

Proteasome inhibitor, ixazomib prevents topoisomerase‐I degradation and reverses irinotecan resistance in colorectal cancer

Molecular Oncology, EarlyView.
Ixazomib inhibits proteasome‐mediated degradation of topoisomerase I induced by irinotecan, thereby restoring drug sensitivity and promoting tumor cell death in colorectal cancer. Irinotecan, a topoisomerase I (topoI) inhibitor, is widely used for colorectal cancer, but resistance remains a major clinical challenge.
Yuho Ebata, Koji Ando, Hirofumi Hasuda, Koshi Mimori, Elizabeth C. Unan, Siddhartha Pulukuri, Aahana Tiku, Allison Berger, Eiji Oki, Ajit Bharti, Tomoharu Yoshizumi   +10 more
wiley   +1 more source

Detection of anomalies and Data Drift in a time-series dismissal prediction system

Iraqi Journal for Computer Science and Mathematics
The purpose of the study is to develop a system that automatically processes data based on existing and newly entered data, especially with the aim of ensuring high data quality by detecting and eliminating anomalies.
Nataliya Boyko, Roman Kovalchuk
doaj   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

One‐Fit‐All Transformer for Multimodal Geophysical Inversion: Method and Application

Journal of Geophysical Research: Machine Learning and Computation
The increasing variety of geophysical data sets enhances inversion constraints but also poses significant challenges for conventional methods in terms of precision and efficiency due to factors like non‐linearity and limited observation coverage.
Yiran Jiang, Jianwei Ma, Jieyuan Ning, Jiaqi Li, Han Wu, Tiezhao Bao   +5 more
doaj   +1 more source

MMFSyn: A Multimodal Deep Learning Model for Predicting Anticancer Synergistic Drug Combination Effect

Biomolecules
Combination therapy aims to synergistically enhance efficacy or reduce toxic side effects and has widely been used in clinical practice. However, with the rapid increase in the types of drug combinations, identifying the synergistic relationships between
Tao Yang, Haohao Li, Yanlei Kang, Zhong Li   +3 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