Results 81 to 90 of about 283,509 (287)

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

An explainable deep learning framework for biosensing data interpretation in biomedical engineering and real-time health diagnostics

open access: yesFrontiers in Bioengineering and Biotechnology
IntroductionThis work proposes an explainable deep learning framework to transform complex biosignal dynamics into interpretable health assessments.
Zheng Yang   +4 more
doaj   +1 more source

Logical–Linguistic Model of Diagnostics of Electric Drives with Sensors Support

open access: yesSensors, 2020
The presented paper scientifically discusses the progressive diagnostics of electrical drives in robots with sensor support. The AI (artificial intelligence) model proposed by the authors contains the technical conditions of fuzzy inference rule ...
Yury Nikitin   +2 more
doaj   +1 more source

Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib

open access: yesMolecular Oncology, EarlyView.
WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute   +17 more
wiley   +1 more source

Variational Bayesian Inference for a Q-Matrix-Free Hidden Markov Log-Linear Additive Cognitive Diagnostic Model

open access: yesAlgorithms
Cognitive diagnostic models (CDMs) are commonly used in educational assessment to uncover the specific cognitive skills that contribute to student performance, allowing for precise identification of individual strengths and weaknesses and the design of ...
Hao Duan   +4 more
doaj   +1 more source

FastVentricle: Cardiac Segmentation with ENet

open access: yes, 2017
Cardiac Magnetic Resonance (CMR) imaging is commonly used to assess cardiac structure and function. One disadvantage of CMR is that post-processing of exams is tedious. Without automation, precise assessment of cardiac function via CMR typically requires
A Suinesiaputra   +9 more
core   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Critical thinking in math: 10th-grade analysis using cognitive diagnostic modeling

open access: yesREID (Research and Evaluation in Education)
Critical thinking is widely recognized as an essential competency in mathematics education, yet assessments often fail to capture its multidimensional nature.
Muhammad Ali Gunawan   +3 more
doaj   +1 more source

Diagnosing faults in autonomous robot plan execution [PDF]

open access: yes
A major requirement for an autonomous robot is the capability to diagnose faults during plan execution in an uncertain environment. Many diagnostic researches concentrate only on hardware failures within an autonomous robot.
Atkinson, David J.   +3 more
core   +1 more source

Bounding bias due to selection

open access: yes, 2019
When epidemiologic studies are conducted in a subset of the population, selection bias can threaten the validity of causal inference. This bias can occur whether or not that selected population is the target population, and can occur even in the absence ...
Smith, Louisa H., VanderWeele, Tyler J.
core   +1 more source

Home - About - Disclaimer - Privacy