Results 81 to 90 of about 2,070,503 (296)
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source
Fluid Bolus Therapy in Pediatric Sepsis: Current Knowledge and Future Direction
Sepsis is a leading cause of morbidity and mortality in children with a worldwide prevalence in pediatric intensive care units of approximately 8%.
Ben Gelbart, Ben Gelbart, Ben Gelbart
doaj +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
Current Situation and Prospect of Fluid Identification in Non-Resistivity Logging
Currently resistivity logging is the primary method for fluid identification. However, accurately identifying fluid properties in formations with low porosity and permeability, significant reservoir heterogeneity, and unique mineral development poses ...
YUAN Lixin +5 more
doaj +1 more source
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
One-Way CFD/FEM Analysis of a Fish Cage in Current Conditions
This study explores the hydrodynamic behaviour of a fish cage in a steady current by employing a fluid–structure interaction model with one-way coupling between a fluid solver and a structural model.
Mariana D. Viegas +2 more
doaj +1 more source
The Relativistic Rindler Hydrodynamics
We consider a (d+2)-dimensional class of Lorentzian geometries holographically dual to a relativistic fluid flow in (d+1) dimensions. The fluid is defined on a (d+1)-dimensional time-like surface which is embedded in the (d+2)-dimensional bulk space-time
Eling, Christopher +2 more
core +1 more source
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
A scalable model of fluid flow, substrate removal and current production in microbial fuel cells
Jordan R Day +2 more
openalex +1 more source
Fluid Dynamics and Viscosity in Strongly Correlated Fluids
We review the modern view of fluid dynamics as an effective low energy, long wavelength theory of many body systems at finite temperature. We introduce the concept of a nearly perfect fluid, defined by a ratio $\eta/s$ of shear viscosity to entropy ...
Schaefer, Thomas
core +1 more source

