Results 101 to 110 of about 265,407 (327)
This study harnesses hydrodynamic flows to generate, confine and stimulate stem cell spheroids, enabling the large‐scale production of extracellular vesicles (EVs). This innovative method not only streamlines spheroid formation and subsequent EV release in a single, integrated process, but also ensures the generation of EVs with enhanced biological ...
Solène Lenoir +7 more
wiley +1 more source
Enhancing timeliness of drug overdose mortality surveillance: A machine learning approach.
BACKGROUND:Timely data is key to effective public health responses to epidemics. Drug overdose deaths are identified in surveillance systems through ICD-10 codes present on death certificates.
Patrick J Ward +5 more
doaj +1 more source
Multiomic profiling of HER2‐low breast cancer identifies three proteomic subtypes with distinct therapeutic strategies: endocrine, antiangiogenic, and anti‐HER2 therapies. Genomic and lactate modification landscapes are detailed, providing insights for precise management.
Shouping Xu +20 more
wiley +1 more source
Solid predominant lung adenocarcinoma exhibits an immune‐excluded, ferroptosis‐resistant niche enriched with IL4I1⁺ TAMs and TDO2⁺ myCAFs. Spatial and multi‐omics analyses reveal AhR‐driven crosstalk that promotes T cell exhaustion and therapy resistance. Blocking AhR with CH‐223191 restores ferroptosis sensitivity, and its combination with ferroptosis
Zhaoxuan Wang +16 more
wiley +1 more source
Predictive value of death certification in the case ascertainment of epilepsy [PDF]
Gail S. Bell
openalex +1 more source
Elevated exogenous palmitic acid promotes the S‐palmitoylation of SRPK1 in endothelial cells, a dynamic process governed by ZDHHC24 and APT1. This post‐translational modification strengthens the interaction between SRPK1 and the E3 ubiquitin ligase MIB1, thereby facilitating the proteasomal degradation of SRPK1.
Xiao‐Hui Tan +11 more
wiley +1 more source
Continuous Deep Sedation Until Death—a Swiss Death Certificate Study [PDF]
Sarah Ziegler +4 more
openalex +1 more source
This study develops a deep learning‐based pathomics model to predict survival outcomes in pancreatic cancer patients. The CrossFormer architecture analyzes routine H&E‐stained tissue slides, identifying key prognostic features including stromal patterns, cellular characteristics, and immune infiltration.
Qiangda Chen +22 more
wiley +1 more source

