Results 61 to 70 of about 341,153 (250)

Research progress on the application of machine learning in inflammatory skin diseases

Pifu-xingbing zhenliaoxue zazhi
In recent years, the application of artificial intelligence in the healthcare field has received widespread attention. Among them, machine learning technology has been extensively applied in various aspects of inflammatory skin diseases, including ...
GUO Jingxue, LIU Yongsheng, YANG Xueying, LI Jiaojiao, LI Dan, LI Yiqun, LI Yanfei, ZHANG Junjing   +7 more
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

A Comparison of Mixed and Partial Membership Diagnostic Classification Models with Multidimensional Item Response Models

Information
Diagnostic classification models (DCM) are latent structure models with discrete multivariate latent variables. Recently, extensions of DCMs to mixed membership have been proposed.
Alexander Robitzsch 
doaj   +1 more source

Comparison of Supervised-learning Models for Infant Cry Classification / Vergleich von Klassifikationsmodellen zur Säuglingsschreianalyse

International Journal of Health Professions, 2015
Cries of infants can be seen as an indicator for several developmental diseases. Different types of classification algorithms have been used in the past to classify infant cries of healthy infants and those with developmental diseases.
Fuhr Tanja, Reetz Henning, Wegener Carla
doaj   +1 more source

Hierarchical Diagnostic Classification Modeling of Reading Comprehension [PDF]

Sage Open, 2020
The Hierarchical Diagnostic Classification Model (HDCM) reflects on the sequences of the presentation of the essential materials and attributes to answer the items of a test correctly. In this study, a foreign language reading comprehension test was analyzed employing HDCM and the generalized deterministic-input, noisy and gate (G-DINA) model to ...
openaire   +2 more sources

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Research on the application value of blood plasma autofluorescence spectroscopy model constructed by machine learning algorithms in identifying the types of post-operative kidney transplantation injury

Photodiagnosis and Photodynamic Therapy
s: Background: This study aimed to assess the value of blood plasma autofluorescence spectroscopy in classifying renal injury after renal transplantation.
Lijuan Wu, Tangyuheng Liu, Wenjing Zhou, Wu Peng, Jianhua Zhu   +4 more
doaj   +1 more source

Enhancing Medical X-Ray Image Classification with Neutrosophic Set Theory and Advanced Deep Learning Models [PDF]

Neutrosophic Sets and Systems
The classification of medical images presents significant challenges due to the presence of noise, uncertainty, and indeterminate information. Traditional deep learning models often struggle to manage this, leading to reduced diagnostic accuracy ...
Walid Abdullah
doaj   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Evaluating model estimation processes for diagnostic classification models [PDF]

, 2020
Diagnostic classification models (DCMs) are a class of models that define respondent ability on a set of predefined categorical latent variables. In recent years, the popularity of these models has begun to increase. As the community of researchers of practitioners of DCMs grow, it is important to examine the implementation of these models, including ...
openaire   +1 more source