AI-built maps reveal causal gene regulation across Alzheimer's brain cell types

Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine's Joe C. Wen School of Population & ...
Ophthalmology Advisor

Retinal Detachment Diagnosis Strong Using Deep Learning-Powered Fundus Images

Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.

Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...
University of Massachusetts Lowell

Researchers Use Veterans’ Health Records for Early Detection of Alzheimer’s Disease

Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official ...
Frontiers

PotatoGuardNet: A Refined Deep Learning Framework for Potato Leaf Disease Detection

The final, formatted version of the article will be published soon. Abstract-The potato is one of the most consumed vegetable crops worldwide. However, environmental changes and various crop diseases ...
EurekAlert!

PlantIF: Revolutionizing plant disease diagnosis with multimodal learning for precision agriculture

The PlantIF framework consists of image and text feature extractors, semantic space encoders, and a multimodal feature fusion module. Image and text feature extractors are used to present visual and ...
IEEE

Early Detection and Analysis of Potato Leaf Diseases Using Deep Learning based CNN Models

Abstract: Potato diseases pose a significant threat to global agricultural productivity, leading to severe economic losses. Early and accurate disease detection is crucial for effective disease ...
Scientific Research Publishing

Comparative Study of Machine Learning Techniques for Early Detection of Heart Diseases ()

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of these diseases ...
SciELO

LEAF NITROGEN CLASSIFICATION OF COMMON BEAN (PHASEOLUS VULGARIS L.) USING DEEP LEARNING MODELS AND IMAGES

Beans are a legume that is widely grown and consumed globally, being the staple food for humans in developing countries. Nitrogen (N) is the most limiting nutrient for yield and foliar analysis is ...
Frontiers

Smart intercropping system to detect leaf disease using hyperspectral imaging and hybrid deep learning for precision agriculture

Introduction: The rapid growth of the global population and intensive agricultural activities has posed serious environmental challenges. In response, there is an increasing demand for sustainable ...