Scientists usually study the molecular machinery that controls gene expression from the perspective of a linear, two-dimensional genome—even though DNA and its bound proteins function in three ...
A new Nature Aging study shows that simple blood tests can detect Alzheimer's and frontotemporal dementia with up to 96% accuracy in Latin American populations — genetically diverse groups that have ...
The DNA foundation model Evo 2, first released in February 2025 as a preprint, is now published in the journal Nature. Trained on the DNA of over 100,000 species across the entire tree of life, Evo 2 ...
Researchers from Duke Health and the University of Minnesota recently discovered that measuring specific tiny genetic ...
AI in genomics offers transformative opportunities by enhancing drug discovery and personalized medicine through efficient genomic data analysis. Drivers include the surge in genomic data, the focus ...
When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...
Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...
Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...
Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...
This project implements an advanced Virtual Machine Placement (VMP) optimization system that leverages multi-objective genetic algorithms, machine learning predictions, blockchain technology, and ...
This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.
The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...