Results 231 to 240 of about 2,191,028 (317)
Face Recognition Access Control System using Convolutional Neural Networks
Paula Catalina Useche M. +2 more
openalex +1 more source
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Enhancing 3D Face Recognition: Achieving Significant Gains via 2D-Aided Generative Augmentation. [PDF]
Yu C, Zhang Z, Li H, Liu C.
europepmc +1 more source
Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni +11 more
wiley +1 more source
Measuring the potential risk of re-identification of imaging research participants from open-source automated face recognition software. [PDF]
Prakaashana CM +9 more
europepmc +1 more source
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
YOLOv10n-CF-Lite: A Method for Individual Face Recognition of Hu Sheep Based on Automated Annotation and Transfer Learning. [PDF]
Qiao Y +7 more
europepmc +1 more source
Plasticity of face recognition in early childhood disappears in adolescence and adulthood
Elinor McKone +2 more
openalex +1 more source
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source

