Results 161 to 170 of about 1,048,882 (334)

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

Evaluation of CD4/CD8 ratio in treatment follow-up of patients with HIV diagnois in an infection clinic

open access: diamond, 2022
Yakup Gezer   +7 more
openalex   +1 more source

Biodegradable Carbonate Nanogels Loaded with Anti MFAP‐5 siRNA for Anti‐stromal Therapy of Hepatocellular Carcinoma

open access: yesAdvanced Science, EarlyView.
Polycarbonate nanogels enable lipid‐free delivery of anti‐MFAP‐5 siRNA into cancer‐associated fibroblasts (CAF) in hepatocellular carcinoma. In a cirrhotic murine model, this approach silences MFAP‐5, reduces fibroblast activation, and suppresses tumor growth by inhibiting NOTCH/Hes1‐driven angiogenesis. CAF‐targeted MFAP‐5 RNAi and conserved signaling
Paul Schneider   +20 more
wiley   +1 more source

Helicobacter pylori increases expression of proapoptotic markers Fas and FasL on CD4 lymphocytes in children.

open access: gold, 2009
Aldona Kotłowska-Kmieć   +9 more
openalex   +2 more sources

Promoting Treg Polarization‐Mediated Anti‐Scar and Appendage Regeneration in Wound Healing

open access: yesAdvanced Science, EarlyView.
This study develops a PLGA@LA‐BMP4‐PG bilayer scaffold to address scar formation and appendage loss in skin repair. The piezoelectric PLA layer enhances cell migration via electric fields, while GelMA delivers LA promoting Tregs polarization and BMP4 inhibiting FBs differentiation.
Yiwen Yang   +10 more
wiley   +1 more source

CD4 [PDF]

open access: yesScience-Business eXchange, 2010
openaire   +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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