Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Human and veterinary healthcare professionals are interested in utilizing the gut-microbiome as a target to diagnose, treat, and prevent (gastrointestinal) diseases. However, the current microbiome analysis techniques are expensive and time-consuming, and data interpretation requires the expertise of specialists. Therefore, we explored the development and application of artificial intelligence technology for rapid, affordable, and reliable microbiome profiling in rhesus macaques (). Tailor-made learning algorithms were created by integrating digital images of fecal samples with corresponding whole-genome sequenced microbial profiles. These algorithms were trained to identify alpha-diversity (Shannon index), key microbial markers, and fecal consistency from the digital images of fecal smears. A binary classification strategy was applied to distinguish between samples with high and low diversity and presence or absence of selected bacterial genera. Our results revealed a successful proof of concept for "high and low" prediction of diversity, fecal consistency, and "present or absent" for selected bacterial genera.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11616071 | PMC |
| http://dx.doi.org/10.1016/j.isci.2024.111310 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Global, regional and national epidemiology of acute myeloid leukemia (1990-2021): a statistical analysis of incidence, mortality, and DALYs.
Ann Med
December 2025
Department of Urology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Background: This study provides a comprehensive analysis of the global, regional, and national epidemiology of acute myeloid leukemia (AML) from 1990 to 2021, focusing on incidence, mortality, and disability-adjusted life years (DALYs).
Methods: Using data from the Global Burden of Disease (GBD) study, we investigated the trends and patterns of AML across 204 countries and territories during 1990 to 2021. All statistical analyses and data visualizations were performed using R (version 4.
Organocatalysed three-component modular synthesis of BN isosteres and BN-2,1-azaboranaphthalenes via Wolff-type rearrangement.
Nat Chem
September 2025
Division of Medicinal and Process Chemistry, CSIR-Central Drug Research Institute, Lucknow, India.
[2,1]-Azaboranaphthalenes represent unique boron-nitrogen (BN) isosteres of naphthalenes, attracting interest for the development of molecules with enhanced therapeutic potency. The existing synthetic strategies are generally two-component reactions with harsh conditions. Here we report an organocatalysed three-component modular synthesis of ring-fused BN isosteres and BN-2,1-azaboranaphthalenes following ring expansion of unstrained cyclic ketones (n = 4-8) via Wolff-type rearrangement.
View Article and Find Full Text PDFUnraveling the mysteries of food allergens: aptamer-driven detection and suppression strategies.
Food Res Int
November 2025
State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; International Joint Laboratory on Food Safety, Jiangnan University, Wuxi 214122, China. Electronic address:
Food allergies pose a significant global health challenge, underscoring the need for effective detection and suppression methods. Conventional detection methods, such as ELISA and PCR, are often limited by challenges related to sensitivity and specificity, particularly when applied to complex food matrices. This review presents an overview of recent advancements in aptamer-based technologies, which present a promising approach for food allergen detection due to their high specificity and affinity for target molecules.
View Article and Find Full Text PDFPredicting loaf volume of white bread by near infrared spectroscopy on wheat flour. Comparative application: NIR reflection, NIR transmission and portable NIR reflection.
Food Res Int
November 2025
Food Analytics & Biotechnology, Department of Food Science, University of Copenhagen, Rolighedsvej 26, Frederiksberg 1958, Denmark.
White bread is a worldwide consumed food product with significant nutritional value. The loaf volume of bread is a crucial parameter that influences its texture, appearance and consumer acceptability. Near Infrared Spectroscopy (NIRS) has shown significant potential in predicting the loaf volume of white bread, providing a faster and potentially more accurate alternative to time consuming traditional methods.
View Article and Find Full Text PDFTwo-Decade Trends in MASLD and Its Complications in the Middle East and North Africa (2010-2021).
Liver Int
October 2025
The Global NASH Council, Washington, DC, USA.
Background: The Middle East and North Africa (MENA) region is undergoing demographic shifts potentially increasing metabolic dysfunction-associated steatotic liver disease (MASLD) and its complications. We assessed MASLD prevalence and liver disease burden from 2010 to 2021.
Methods: Data from Global Burden of Disease (GBD), United Nations Population Division and NCD Risk Factor Collaboration covering 21 MENA countries were used for annual percent change (APC) trends per Joinpoint regression.