Results 191 to 200 of about 785,854 (287)
The inhibitory immune checkpoints HLA‐G and CD47 are expressed on certain tumor types and inhibit immune cells in the tumor microenvironment. DSP216 binds specifically to cancer cells expressing both HLA‐G and CD47, and blocks their inhibitory signaling.
Lisa J. Jacob +12 more
wiley +1 more source
This study reveals that the Fgl2‐FcγRIIB signaling axis is a key mechanism by which MDSCs mediate tumor immune evasion. Tumor‐derived exosomes systemically activate MDSCs via this pathway, positioning this axis as a promising broad‐spectrum target for cancer immunotherapy.
Fenglin Lin +12 more
wiley +1 more source
Sexual and Reproductive Health Service Utilization and Associated Factors Among Youth With Disability in Northwest Ethiopia: A Cross-Sectional Study. [PDF]
Sewalem H, Abuhay T, Yadita ZS.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Therapeutic Gases in Biomedicine: Updates on Nitric Oxide and Beyond
Therapeutic gases, including NO, CO, H2S, H2, CO2, O2, and Xe, play vital roles in cellular signaling and repair. This review highlights the emerging carriers and delivery systems that enable controlled, localized gas release for diagnostic and therapeutic applications.
Syed Muntazir Andrabi +4 more
wiley +1 more source
This study identifies the cockroach‐derived peptide leucokinin VIII as a potent accelerator of diabetic wound healing. By activating the FAK‐ACTG1 axis, the peptide drives keratinocyte migration and filopodia formation. Delivered via a developed PLGA‐PEG‐PLGA thermosensitive hydrogel for sustained release, this approach significantly hastens wound ...
Zhengshan Qin +11 more
wiley +1 more source
Optimized intrusion detection using particle swarm optimization and neural networks in simulated and physical network environments. [PDF]
Ganesh V, Deshmukh SV.
europepmc +1 more source
Forecasting Root Rot Disease through Predictive Microbial Functional Profiling
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You +11 more
wiley +1 more source

