The exponential growth of biomedical data related to diseases such as asthma far exceeds our cognitive abilities to comprehend it for tasks such as biomarker discovery, pathway identification, and molecular-based phenotyping. This chapter discusses the cognitive and task-based reasons for why methods from visual analytics can help in analyzing such large and complex asthma data, and demonstrates how one such approach called network visualization and analysis can be used to reveal important translational insights related to asthma. The demonstration of the method helps to identify the strengths and limitations of network analysis, in addition to areas for future research that can enhance the use of networks to analyze vast and complex biomedical datasets related to diseases such as asthma.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/978-1-4614-8603-9_18 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Exploring the subtle and novel renal pathological changes in diabetic nephropathy using clustering analysis with deep learning.
Sci Rep
January 2025
Department of Nephrology, Kanazawa Medical University, 1-1 Daigaku, Uchinada, 920-0293, Ishikawa, Japan.
To decrease the number of chronic kidney disease (CKD), early diagnosis of diabetic kidney disease is required. We performed invariant information clustering (IIC)-based clustering on glomerular images obtained from nephrectomized kidneys of patients with and without diabetes. We also used visualizing techniques (gradient-weighted class activation mapping (Grad-CAM) and generative adversarial networks (GAN)) to identify the novel and early pathological changes on light microscopy in diabetic nephropathy.
View Article and Find Full Text PDFDual Ratiometric Fluorescence Sensors Based on Chiral Carbon Dots for the Sensitive and Specific Detection of Arginine.
Anal Chem
January 2025
State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, 5625 Renmin Street, Changchun 130022, P. R. China.
Arginine (Arg) is involved in tissue metabolism and regulates the immune function; thereby, achieving the detection of Arg is crucial for early diagnosis and treatment of diseases. Herein, dual ratiometric fluorescence sensors were prepared with the blue emission of levorotatory/dextrorotatory carbon dots (CDs) and the red emission of porphyrin (L/D-CDs-PP) for the sensitive and portable detection of Arg. Interestingly, L-CDs-PP and D-CDs-PP displayed not only the dual emission peaks at 493 and 650 nm but also different response modes to Arg; thus, they could serve as dual ratiometric fluorescence sensors to achieve the accurate and reliable detection of Arg, with the detection limit of 23.
View Article and Find Full Text PDFPivotal Trial Toward Effectiveness of Self-administered OCT in Neovascular Age-related Macular Degeneration. Report 2-Artificial Intelligence Analytics.
Ophthalmol Sci
November 2024
Notal Vision Inc., Manassas, Virginia.
Purpose: To validate the performance of the Notal OCT Analyzer (NOA) in processing self-administered OCT images from an OCT system designed for home use (home OCT [HOCT]) as part of a pivotal study aimed at achieving de novo United States Food and Drug Admininstration marketing authorization.
Design: A prospective quantitative cross-sectional artificial intelligence study.
Participants: The study enrolled adults aged ≥55 years diagnosed with neovascular age-related macular degeneration (nAMD) in ≥1 eligible eye with a best-corrected visual acuity of 20/320 or better.
Visualizing the Spatial Distribution of Metabolites in Angelica sinensis Roots by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging.
Phytochem Anal
January 2025
Rehabilitation Pharmacy Center, Affiliated Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China.
Introduction: Angelica sinensis is one of the most popular traditional Chinese medicines (TCM) and has been extensively used to treat various diseases. Hundreds of endogenous ingredients have been isolated and identified from this herb, but their spatial distribution within the plant root is largely unknown.
Objectives: In this study, we tried to investigate and map within-tissue spatial distribution of metabolites in Angelica sinensis roots.
Obstetric Sonar, Media Archaeology, Feminist Critique.
J Med Humanit
January 2025
Pratt Institute, Brooklyn, NY, USA.
The snub-nosed, reclining, and serene image of the fetus is commonplace in cultural representations and analyses of obstetric ultrasound. Yet following the provocation of various feminist scholars, taking the fetal sonogram as the automatic object of concern vis-à-vis ultrasound cedes ground to anti-abortionists, who deploy fetal images to argue that life begins at conception and that the unborn are rights bearing subjects who must be protected. How might feminists escape this analytical trap, where discussions of ultrasonics must always be engaged in the act of debunking? This article orients away from the problem of fetal representation by employing a method which may appear to be wildly unsuitable: media archaeology.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!