Results 111 to 120 of about 63,416 (295)

Immune Predictors of Radiotherapy Outcomes in Cervical Cancer

open access: yesAdvanced Science, EarlyView.
This study reveals dynamic immune remodeling in cervical cancer following radiotherapy. Single‐cell analysis identifies the C3/C3AR1 axis as a central mediator of epithelial–myeloid crosstalk, whose inhibition reduces treatment efficacy in mice. Guided by these insights, the eight‐feature machine‐learning model: Cervical Cancer Radiotherapy Immune ...
Linghao Wang   +8 more
wiley   +1 more source

Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review

open access: yesAdvanced Science, EarlyView.
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao   +4 more
wiley   +1 more source

An Improved Non-Destructive and High-Efficiency Model for Detecting the Purity of Denghai 605 Maize Variety Based on Machine Vision and Deep Learning

open access: yesIEEE Access
Accurate identification of crop varieties is vital in seed detection, phenotype collection, and scientific breeding. The purity of maize seeds is a key indicator that affects the quality of the seeds.
Jia Wang   +8 more
doaj   +1 more source

Safety and Efficacy of Adoptive Transfer of Stem Cell Memory Enriched Virus Specific T Cells against CMV and EBV

open access: yesAdvanced Science, EarlyView.
This study finds that CD8⁺ TSCM cells exhibit superior self‐renewal, differentiation, and antiviral activity. Transcriptome and epigenome analyses highlight MAPK cascade regulation in TSCM cells. In vivo, virus‐specific TSCM cells show enhanced persistence and tumor protection.
Xun‐Hong Cao   +13 more
wiley   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu   +6 more
wiley   +1 more source

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