Results 181 to 190 of about 1,286,932 (258)
A Method for Efficient De-identification of DICOM Metadata and Burned-in Pixel Text. [PDF]
Macdonald JA +9 more
europepmc +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
Documenting the de-identification process of clinical and imaging data for AI for health imaging projects. [PDF]
Kondylakis H +27 more
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
Enhancing Catchment Area Tools: A De-Identification Method for Integrating Clinical Trial Data with Cancer InFocus. [PDF]
Antonio D +8 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
Examining the Generalizability of Pretrained De-identification Transformer Models on Narrative Nursing Notes. [PDF]
Chen F +4 more
europepmc +1 more source
De-identification of electronic health record using neural network. [PDF]
Ahmed T, Aziz MMA, Mohammed N.
europepmc +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

