Genetic 'fingerprint' in bacteria can predict drug resistance
Antibiotic resistance is a global public health crisis responsible for more than a million deaths annually. By 2050, the ...
EurekAlert!1d
Researchers identify genetic ‘fingerprint’ to predict drug resistance in bacteria
New research from Tulane University has identified a unique genetic signature in bacteria that can predict their likelihood of developing antibiotic resistance, a finding that can help quickly ...
Science Daily1d
Genetic 'fingerprint' to predict drug resistance in bacteria
New research has identified a unique genetic signature in bacteria that can predict their likelihood of developing antibiotic resistance, a finding that can help quickly identify precision-based ...
Using AI machine learning to map hidden molecular interactions in bacteria
A new study from Oregon Health & Science University has uncovered how small molecules within bacteria interact with proteins, ...
Next Gen Diagnostics Announces That the University of Pittsburgh Has Joined the NGD Cefiderocol Consortium
CAMBRIDGE, MA AND PITTSBURGH, PA / ACCESS Newswire / January 23, 2025 / Next Gen Diagnostics (NGD), a pioneer in the development of machine learning models for whole genome sequence- (WGS-) based dete ...
Revolutionizing Clean Energy? Yale Scientists Discover How Bacteria “Breathe” Minerals
Yale researchers uncovered the molecular machinery behind nanowire assembly in microbes, enabling advances in electricity ...
studyfinds14d
The hidden guardians in your gut: How beneficial bacteria shield your health
Learn how 'good' gut bacteria can protect your health. Dive into the research on preventing dangerous infections through a healthy gut microbiome.
C&EN20d
A Bifunctional “Two-in-One” Array for Simultaneous Diagnosis of Irritable Bowel Syndrome and Identification of Low-FODMAP Diets
State Key Laboratory of Natural Medicines, National R&D Center for Chinese Herbal Medicine Processing, School of Engineering, China Pharmaceutical University, Nanjing 210009, China ...
Frontiers21d
Integrating traditional machine learning with qPCR validation to identify solid drug targets in pancreatic cancer: a 5-gene signature study
Our study addresses these limitations through a comprehensive approach that combines traditional machine learning methods with experimental validation. By analyzing 14 independent pancreatic cancer ...
Frontiers24d
Identification of key genes affecting intramuscular fat deposition in pigs using machine learning models
Machine learning (ML) is a new big data fitting method that can effectively fit complex data, accurately identify samples and genes, and it plays an important role in omics research. Therefore, this ...
IEEE25d
Optimized Identification of Sentence-Level Multiclass Events on Urdu-Language-Text Using Machine Learning Techniques
Text processing has been the latest trend in research, with many machine learning and deep learning techniques widely used for it. Multiclass classification has been utilized to classify different ...