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Total 374 results found since Jan 2013.
Changing with the times-learning to pivot as an academic allergist
Ann Allergy Asthma Immunol. 2023 Sep;131(3):288-289. doi: 10.1016/j.anai.2023.06.006.NO ABSTRACTPMID:37661168 | DOI:10.1016/j.anai.2023.06.006
Source: Annals of Allergy, Asthma and Immunology - September 3, 2023 Category: Allergy & Immunology Authors: Theresa A Bingemann Vivian Hernandez-Trujillo Source Type: research
Changing with the times —learning to pivot as an academic allergist
In 535 BCE, Heraclitus said “Change is the only constant in life.” As changes continue in allergy and immunology (AI) with respect to practice types, models and patient complexity, it is critical that trainees are provided the skills needed to navigate this ever-changing environment. The article by Dr Zafra and Dr Chiu ill ustrates the changes in recruitment, cost of medical education, salaries, and ACGME standards and wellness.1 We like to take this a step further focusing on the many domains of wellness: emotional, spiritual, intellectual, social, physical, environmental, financial, and occupational.
Source: Annals of Allergy, Asthma and Immunology - September 1, 2023 Category: Allergy & Immunology Authors: Theresa A. Bingemann, Vivian Hernandez-Trujillo Tags: Editorial Source Type: research
Computer-Assisted Clinical Diagnosis and Treatment
AbstractPurpose of ReviewComputer-assisted diagnosis and treatment (CAD/CAT) is a rapidly growing field of medicine that uses computer technology and telehealth to aid in the diagnosis and treatment of various diseases. The purpose of this paper is to provide a review on computer-assisted diagnosis and treatment. This technology gives providers access to diagnostic tools and treatment options so that they can make more informed decisions leading to improved patient outcomes.Recent FindingsCAD/CAT has expanded in allergy and immunology in the form of digital tools that enable remote patient monitoring such as digital inhale...
Source: Current Allergy and Asthma Reports - September 1, 2023 Category: Allergy & Immunology Source Type: research
Everything you wanted to know about anaphylaxis, but were afraid to ask
This issue of the Annals poses the challenge of “Everything you wanted to know about anaphylaxis, but were afraid to ask.” The featured content takes a provocative look at anaphylaxis, challenging the paradigm of how this is treated, and how we can evolve care. Anaphylaxis is the one true medical emergency that we are all trained, from the fi rst day of starting fellowship, to learn to manage, master, and respond to as an automatic reflex. However, as automatic as the response is to inject intramuscular epinephrine, there is inherent variation in practice, and still much left to be desired in our understanding of how a...
Source: Annals of Allergy, Asthma and Immunology - August 1, 2023 Category: Allergy & Immunology Authors: Matthew Greenhawt Tags: Editorial Source Type: research
Computer-Assisted Clinical Diagnosis and Treatment
AbstractPurpose of ReviewComputer-assisted diagnosis and treatment (CAD/CAT) is a rapidly growing field of medicine that uses computer technology and telehealth to aid in the diagnosis and treatment of various diseases. The purpose of this paper is to provide a review on computer-assisted diagnosis and treatment. This technology gives providers access to diagnostic tools and treatment options so that they can make more informed decisions leading to improved patient outcomes.Recent FindingsCAD/CAT has expanded in allergy and immunology in the form of digital tools that enable remote patient monitoring such as digital inhale...
Source: Current Allergy and Asthma Reports - June 23, 2023 Category: Allergy & Immunology Source Type: research
Online Education in Allergy and Immunology: An Update to Conferences Online in Allergy (COLA)
We describe here our long standing but unique approach to providing online
education in the specialty of allergy and immunology and its impact. Recent FindingsIn this article, we report the process and updates to our online
conferencing curriculum known as Conferences Online in Allergy (COLA). The
program was developed at Children ’s Mercy Kansas City almost two decades ago for
the utilization of fellows in training, as well as practicing allergists. Since its inception
viewership has continued to grow.SummaryCOLA has served as a significant resource for both the new and practicing
allergists. With rapidly ...
Source: Current Allergy and Asthma Reports - May 25, 2023 Category: Allergy & Immunology Source Type: research
Electronic Medical Record-Based Machine Learning Predicts the Relapse of Asthma Exacerbation
Ann Allergy Asthma Immunol. 2023 Apr 24:S1081-1206(23)00307-1. doi: 10.1016/j.anai.2023.04.025. Online ahead of print.NO ABSTRACTPMID:37100278 | DOI:10.1016/j.anai.2023.04.025
Source: Annals of Allergy, Asthma and Immunology - April 26, 2023 Category: Allergy & Immunology Authors: Ji-Hyang Lee Chaelin Hong Ji Seon Oh Tae-Bum Kim Source Type: research
Electronic medical record –based machine learning predicts the relapse of asthma exacerbation
The minimization of asthma exacerbation (AE) is a prioritized objective of asthma management given that repeated AE increases the future risk of fixed airway obstruction, adverse effects from corticosteroids and other medications, and even mortality.1,2 Despite the development of novel biologics and supportive strategies proven to reduce AE, the prediction and prevention of exacerbation incidents remain a challenge.3 –5 Here, we present a machine-learning model that predicts AE recurrence using EMR in a single tertiary hospital in Korea.
Source: Annals of Allergy, Asthma and Immunology - April 24, 2023 Category: Allergy & Immunology Authors: Ji-Hyang Lee, Chaelin Hong, Ji Seon Oh, Tae-Bum Kim Tags: Letters Source Type: research
Electronic Medical Record-Based Machine Learning Predicts the Relapse of Asthma Exacerbation
The minimization of asthma exacerbation (AE) is a prioritized objective of asthma management since repeated AE increase the future risk of fixed airway obstruction, side effects from corticosteroids and other medications, and even mortality 1,2. Despite the development of novel biologics and supportive strategies proven to reduce AE, the prediction and prevention of exacerbation incidents remains a challenge 3-5. Herein, we present a machine learning model that predicts AE recurrence using electronic medical record (EMR) in a single tertiary hospital in Korea.
Source: Annals of Allergy, Asthma and Immunology - April 24, 2023 Category: Allergy & Immunology Authors: Ji-Hyang Lee, Chaelin Hong, Ji Seon Oh, Tae-Bum Kim Source Type: research
Babies With Pets May Be Less Likely to Develop Food Allergies
About 8% of children in the U.S. have a food allergy, roughly double the percentage who did in 2007. It’s not entirely clear why more kids are being diagnosed with food allergies, both in the U.S. and across the world—but as these potentially life-threatening conditions grow more common, lots of researchers are studying how to treat or prevent them.
A study published in PLOS ONE on Mar. 29 offers one potential strategy: get a pet. Among thousands of babies in Japan, exposure to cats or dogs during pregnancy or early infancy was associated with a lower risk of developing food allergies, the researchers found.
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Source: TIME: Health - March 29, 2023 Category: Consumer Health News Authors: Jamie Ducharme Tags: Uncategorized healthscienceclimate Research Wellbeing Source Type: news
Asthma susceptibility: learning from genetic diversity
Source: Journal of Allergy and Clinical Immunology - February 20, 2023 Category: Allergy & Immunology Authors: Yidan Sun, Elin T.G. Kersten, Cancan Qi, Gerard H. Koppelman Source Type: research
Comprehensive analysis of epigenome and transcriptome-based correlation network analysis in severe asthma risk prediction
Asthma is a chronic inflammatory disease of the airways associated with epigenetic and genetic risk factors. Co-expressed and co-methylated gene modules-based approaches can identify gene sets that are specifically asthma-associated biological process beyond known candidate genes. However, limited studies reported predictive models associated with asthma severity and lung function based on genome-wide weighted correlation network analysis (WGCNA) and machine learning (ML) methods.
Source: Journal of Allergy and Clinical Immunology - February 1, 2023 Category: Allergy & Immunology Authors: Eskezeia Dessie, Tesfaye Mersha, Yadu Gautam Source Type: research
Cow's milk formula each day may keep milk allergy away
The landscape of food allergy prevention has seen tremendous change over the past few years, with multiple studies supporting early food introduction. The Learning Early About Peanut Allergy study1 focused on a high-risk population for peanut allergy development and found that early peanut introduction resulted in an 81% reduction in the prevalence of peanut allergy at age 5 years. The Enquiring About Tolerance study2 investigated the introduction of 6 allergenic foods (including cow's milk) in a general population of infants from age 3 months and reported a 20% reduction in food allergy to 1 or more foods.
Source: Annals of Allergy, Asthma and Immunology - February 1, 2023 Category: Allergy & Immunology Authors: Aikaterini Anagnostou, Julia Upton, Anna Nowak-Wegrzyn Tags: Editorial Source Type: research
