Results 61 to 70 of about 923,643 (274)
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
An approach towards achieving net-zero-carbon concrete
Carbon dioxide is the primary greenhouse gas contributing to climate change. The construction industry is a main contributor to carbon dioxide emissions worldwide and must make conscious efforts towards becoming a green industry by using materials that ...
Abdelrahman El Bialy +8 more
doaj +1 more source
Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning
Traditionally, medical discoveries are made by observing associations and then designing experiments to test these hypotheses. However, observing and quantifying associations in images can be difficult because of the wide variety of features, patterns ...
Blumer, Katy +7 more
core +1 more source
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Sentiment analysis is an application of text mining that is used to find out opinions from a set of textual data about a particular event or topic. The main function of sentiment analysis is to extract information and find the meaning and opinions of a ...
Fahri Aimar Kusumo +2 more
doaj +1 more source
Calculation of the total number of radiation decay of Radiolabelled-Octreotate using non-linear mixed effect models [PDF]
Non-Linear Mixed Effect (NLME) is a method used in the area under the measured time-activity curve (AUC) calculations. The calculation of an accurate AUC is needed for an accurate determination of the radiation absorbed dose.
Pratiwi Nining +2 more
doaj +1 more source
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
Since acquiring perfect supervision is usually difficult, real-world machine learning tasks often confront inaccurate, incomplete, or inexact supervision, collectively referred to as weak supervision. In this work, we present WSAUC, a unified framework for weakly supervised AUC optimization problems, which covers noisy label learning, positive ...
Zheng Xie +4 more
openaire +3 more sources
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
CircCDYL Serves as a New Biomarker in Mantle Cell Lymphoma and Promotes Cell Proliferation
Mei Mei,1,2 Yingjun Wang,1 Qilong Wang,1 Yueyao Liu,3 Wenting Song,1 Mingzhi Zhang1 1Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People’s Republic of China; 2The Academy of Medical Sciences, Zhengzhou ...
Mei M +5 more
doaj
Resilient Modulus Characterization of Alaskan Granular Base Materials [PDF]
INE/AUC 11 ...
Li, Lin, Liu, Juanyu, Zhang, Xiong
core

