Results 61 to 70 of about 3,864,619 (301)

Astrocytic LMP2 Coordinates NF‐κB and TGF‐β1/Smad3 Signaling to Drive Neuroinflammation after Cerebral Ischemia/Reperfusion

Advanced Science, EarlyView.
ABSTRACT Astrocyte reactivity critically shapes neuroinflammatory outcomes after ischemic stroke, yet the upstream regulators governing astrocyte state transitions remain incompletely defined. Here, we identify the immunoproteasome subunit low molecular weight protein 2 (LMP2) as an important modulator of astrocyte functional remodeling following ...
Yanguang Mao, Rulan Ma, Zejing Lin, Huiying Zhao, Yuexian Liu, Yonghe Su, Xu Zhang, Xingyong Chen   +7 more
wiley   +1 more source

THE EFFECTIVENESS OF IMPLEMENTING "HEART-LUNG MACHINE SORIN C5" SOFTWARE PRODUCT IN THE EDUCATIONAL PROCESS OF MEDICAL UNIVERSITY

Інформаційні технології і засоби навчання, 2020
The article is devoted to the research of the effectiveness of formation of students’ experimental competencies in hydrodynamics and hemodynamics at a medical university using the software "Heart-lung machine SORIN C5" [1].
Людмила Павлівна Суховірська, Ольга Миколаївна Лунгол, Оксана Володимирівна Задорожна, Поліна Григорівна Коваленко   +3 more
doaj   +1 more source

Optimisation and validation of virtual physiological human lung models in asthma

Physiological tests assessing abnormal lung function due to ventilation (V) and perfusion (Q) mismatch, and ventilation heterogeneity (VH)–such as the CO gas transfer and forced oscillation techniques (FOT)–provide valuable but global measurements of ...
Nikolaou, Christos
core   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

A Comprehensive Review on Cancer Detection and Classification using Medical Images by Machine Learning and Deep Learning Models

JOIV: International Journal on Informatics Visualization
In day-to-day life, machine learning and deep learning plays a vital role in healthcare applications to predict various diseases such as cancer, heart attack, mental problem, Parkinson, etc.
Jayapradha J, Haw Su-Cheng, Palanichamy Naveen, Elham Abdulwahab Anaam   +3 more
doaj   +1 more source

The Mind From Within: Visceral Roots of Human Cognition

Advanced Science, EarlyView.
The physiological activity of visceral organs, such as the heart, the lungs, and the gut, is surprisingly linked to many sophisticated mental operations, such as remembering the past, being aware of ourselves, making choices, and forging social bonds.
Alessandro Monti, Salvatore Maria Aglioti   +1 more
wiley   +1 more source

[News Clip: Heart Machine]

, 1958
Video footage from the WBAP-TV station in Fort Worth, Texas to accompany a news story about a new heart and lung machine that was brought to the Fort Worth Heart ...
WBAP-TV (Television station : Fort Worth, Tex.)
core  

Effect of Activated Neutrophil Products on Ex Vivo Small Airway Structure and Function [PDF]

, 2015
In COPD, small airways are the main site of airflow obstruction. Neutrophil infiltration into small airways is significantly associated with lung function decline.
Madge, Natasha
core   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Recovering single-cell expression profiles from spatial transcriptomics with scResolve

Cell Reports: Methods
Summary: Many popular spatial transcriptomics techniques lack single-cell resolution. Instead, these methods measure the collective gene expression for each location from a mixture of cells, potentially containing multiple cell types.
Hao Chen, Young Je Lee, Jose A. Ovando-Ricardez, Lorena Rosas, Mauricio Rojas, Ana L. Mora, Ziv Bar-Joseph, Jose Lugo-Martinez   +7 more
doaj   +1 more source