Results 161 to 170 of about 1,017,066 (287)

Respiratory therapy demonstration

, 2000
Respiratory therapy student (left) helps participant (right) listen to breathing sounds on the respiratory therapy dummy at Science & Technology night at the Kamloops campus of the University College of the ...

core  

Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation

Medicinal Research Reviews, EarlyView.
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley   +1 more source

Immunization and Respiratory Diseases Bulletin [PDF]

March 8, 2024, 4:15 PM EDTUpdates on respiratory illness and vaccine-preventable diseases.Formerly called: CDC Respiratory Virus ...

core   +2 more sources

Improving enteral nutrition in patients requiring neurological intensive care unit care: A retrospective study on a novel bedside nasointestinal tube placement technique

Nutrition in Clinical Practice, EarlyView.
Abstract Background This study aimed to develop and assess a bedside nasojejunal tube placement technique designed for resource‐limited settings to address the specific challenges of enteral nutrition (EN) delivery in neurocritical care patients, particularly those at high risk of reflux and aspiration. The technique sought to overcome the drawbacks of
Niuchenglin, Liujuan, Zhushuibing, Dingyuanliang, Yutianhao, Shiguangling   +5 more
wiley   +1 more source

Respiratory Sound Analysis: Contributions to the Automatic Diagnosis of Respiratory Pathologies and Segmentation of Respiratory Sounds

As doenças respiratórias representam um desafio significativo para a saúde global, sendo uma das principais causas de morte em todo o mundo. A análise automatizada dos sons respiratórios apresenta uma abordagem promissora para um diagnóstico mais rápido, não invasivo e económico, mudando o paradigma da gestão das doenças respiratórias de reativo para ...
openaire   +1 more source

Hybrid deep learning and YAMNet features for asthma diagnosis from respiratory sounds. [PDF]

Sci Rep
Shatat GAE, Moustafa HE, Saraya MS, Marzouk AA, Hekal AA.   +4 more
europepmc   +1 more source

Early Identification of Aggression Risk in Hospitalized Adults: Evaluating the Dynamic Appraisal of Situational Aggression Tool

Research in Nursing &Health, EarlyView.
ABSTRACT As violence toward healthcare personnel escalates worldwide, nurses seek methods to identify patients at risk for aggression before harm occurs. Multiple assessment guides for aggression risk are available for psychiatric patients. However, few assessment tools have been tested with patients hospitalized in non‐psychiatric settings.
K. Renee Samples Twibell, Karrie Osborne, Melissa Hicks, Jessica Marshall, Gena Coers, Monica Goble, Guadalupe E. Montero, Sarah Rogillio, James A. Jones   +8 more
wiley   +1 more source

Estimating Sleep-Stage Distribution from Respiratory Sounds via Deep Audio Segmentation. [PDF]

Sensors (Basel)
Choi S, Shin J, Kim Y, Shin J, Ko M.
europepmc   +1 more source

The Audiologic and Otolaryngologic Phenotype in WHIM Syndrome

Otolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective WHIM syndrome (warts, hypogammaglobulinemia, infections, and myelokathexis syndrome) is an ultra‐rare primary immunodeficiency disease caused by autosomal dominant hyperfunctional mutations in the chemokine receptor CXCR4. Otolaryngologists are frequently consulted to evaluate WHIM patients because of recurrent acute ear and sinus ...
Christopher K. Zalewski, H. Jeffrey Kim, Carmen C. Brewer, Sophia Martinez, Caroline Rieger, Elena Cho, David H. McDermott, Philip M. Murphy   +7 more
wiley   +1 more source

DeepRespNet: A deep neural network for classification of respiratory sounds

Respiratory sounds convey significant information about the pulmonary status. This study proposes a deep learning-based framework to create an automatic, non-invasive, diagnostic method of categorizing pulmonary sounds.
Gupta, Rinki, Travieso-González, Carlos M., Singh, Rashmi, Kishore Dutta, Malay, Burget, Radim   +4 more
core   +1 more source