Results 191 to 200 of about 23,296,124 (362)
On the serializability of transactions in shared dataspaces with temporary data [PDF]
Nadia Busi, Gianluigi Zavattaro
openalex +1 more source
Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma
The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias+12 more
wiley +1 more source
The State of Data Sharing in Plastic Surgery: An Analysis of Journal Practices and Author Adherence. [PDF]
Keefer K+8 more
europepmc +1 more source
Understanding and measuring mechanical signals in the tumor stroma
This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz+3 more
wiley +1 more source
The GRID: Computational and data resource sharing in engineering optimisation and design search [PDF]
Simón Cox+4 more
openalex +1 more source
Equitable Data Sharing in Collaborative Health Research in Sub-Saharan Africa: A Translational Bioethics Perspective. [PDF]
Andanda P, Machinya J, Mutomba T.
europepmc +1 more source
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi+2 more
wiley +1 more source
Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO). [PDF]
Köhler CA, Grün S, Denker M.
europepmc +1 more source