Results 261 to 270 of about 32,339,977 (323)

Accurate prediction of green hydrogen production based on solid oxide electrolysis cell via soft computing algorithms. [PDF]

Sci Rep
Hassan R, Kazemi MR.
europepmc   +1 more source

The Impact of the Choice of Model on Measurements of Economic Behavior Relationships

, 1956
Eric Booth, George G. Judge
openalex   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
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, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Three-Dimensional Dynamic Cell Models for Metabolic Dysfunction-Associated Steatotic Liver Disease Progression. [PDF]

BME Front
Huang Z, Li L, Dudley K, Xiao L, Huang G, Subramaniam VN, Chen C, Crawford R, Xiao Y.   +8 more
europepmc   +1 more source

Brackish knowledge: exploring the material, epistemic, and institutional entanglements of numerical modelling of the Dutch coast. [PDF]

Hist Philos Life Sci
Ashkin J, de Rijcke S.
europepmc   +1 more source

Emerging role of ARHGAP29 in melanoma cell phenotype switching

Molecular Oncology, EarlyView.
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster, Melanie Kappelmann‐Fenzl, Anja Katrin Bosserhoff, Nicole Rachinger   +3 more
wiley   +1 more source

Construction and application of machine learning models for predicting intradialytic hypotension. [PDF]

PLoS One
Wang P, Xu N, Wu L, Hong Y, Qu Y, Ren Z, Luo Q, Cai K.   +7 more
europepmc   +1 more source

Tumor‐agnostic detection of circulating tumor DNA in patients with advanced pancreatic cancer using targeted DNA methylation sequencing and cell‐free DNA fragmentomics

Molecular Oncology, EarlyView.
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin, Kjersti Tjensvoll, Karin Hestnes Edland, Satu Oltedal, Herish Garresori, Bjørnar Gilje, Saga Ekedal, Trygve Eftestøl, Jan Terje Kvaløy, Filip Janku, Oddmund Nordgård   +10 more
wiley   +1 more source

AI-Driven predictive modeling of cervical intraepithelial neoplasia severity: a comprehensive analysis with clinical adoption frameworks. [PDF]

BMC Cancer
Farzaneh F, Soltani A, Dastyar F, Mohammadi M, Hosseini MS.   +4 more
europepmc   +1 more source