Results 81 to 90 of about 3,772,063 (376)
Advances in Diagnostics and Management of Respiratory System Diseases
Diagnostics, 2023 Recently, significant innovations in the diagnosis and management of respiratory diseases have been developed [...]
Paola Confalonieri +4 more
openaire +3 more sources
Molecular Oncology, EarlyView.TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam +9 more
wiley +1 more source
Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses [PDF]
IJPHM (2023), 2022 As the burden of respiratory diseases continues to fall on society worldwide, this paper proposes a high-quality and reliable dataset of human sounds for studying respiratory illnesses, including pneumonia and COVID-19. It consists of coughing, mouth breathing, and nose breathing sounds together with metadata on related clinical characteristics.
arxiv
FEBS Open Bio, EarlyView.FAM136A depletion upregulated ROS production, reduced mitochondrial membrane potential (ΔΨ) and ATP production, and upregulated expression of PCK1, PCK2, HMGCS1, and HMGCS2. The expression of both TOMM22 and TOMM20 was also upregulated. FAM136A depletion reduced HCCS that produce holocytochrome c by combining heme to apocytochrome c, and reduced the ...
Yushi Otsuka, Masato Yano
wiley +1 more source
A Multi-Modal Respiratory Disease Exacerbation Prediction Technique Based on a Spatio-Temporal Machine Learning Architecture [PDF]
arXiv, 2021 Chronic respiratory diseases, such as chronic obstructive pulmonary disease and asthma, are a serious health crisis, affecting a large number of people globally and inflicting major costs on the economy. Current methods for assessing the progression of respiratory symptoms are either subjective and inaccurate, or complex and cumbersome, and do not ...
arxiv
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning [PDF]
, 2020 The primary objective of this paper is to build classification models and strategies to identify breathing sound anomalies (wheeze, crackle) for automated diagnosis of respiratory and pulmonary diseases. In this work we propose a deep CNN-RNN model that classifies respiratory sounds based on Mel-spectrograms.
arxiv +1 more source
The Roles of Neuropeptide Y in Respiratory Disease Pathogenesis via the Airway Immune Response [PDF]
The lungs are very complex organs, and the respiratory system performs the dual roles of repairing tissue while protecting against infection from various environmental stimuli.
Itano, Junko +3 more
core +1 more source
Respiration rate and volume measurements using wearable strain sensors. [PDF]
, 2019 Current methods for continuous respiration monitoring such as respiratory inductive or optoelectronic plethysmography are limited to clinical or research settings; most wearable systems reported only measures respiration rate.
Bar-Yoseph, Ronen +9 more
core +2 more sources
FEBS Open Bio, EarlyView.Osimertinib reduces angiogenesis and PDL1 expression in in ovo tumors, transforming them into ‘cold tumors’ with lower immune activity. Anatomopathological and transcriptomic analyses highlight its therapeutic impact on tumor biology. This study underscores osimertinib's potential to reshape the tumor microenvironment and provides insights into its ...
David Barthélémy +14 more
wiley +1 more source
Robust Deep Learning Framework For Predicting Respiratory Anomalies and Diseases [PDF]
arXiv, 2020 This paper presents a robust deep learning framework developed to detect respiratory diseases from recordings of respiratory sounds. The complete detection process firstly involves front end feature extraction where recordings are transformed into spectrograms that convey both spectral and temporal information.
arxiv