Results 61 to 70 of about 2,840,523 (248)

A recurrent neural network and parallel hidden Markov model algorithm to segment and detect heart murmurs in phonocardiograms.

PLOS Digital Health
The detection of heart disease using a stethoscope requires significant skill and time, making it expensive and impractical for widespread screening in low-resource environments.
Andrew McDonald, Mark J F Gales, Anurag Agarwal   +2 more
doaj   +1 more source

Salivary Citrate Deficiency Defines an Endogenous Dentin Remineralization Failure State Through Glandular MT1/2‐Zn2+‐ACO2 Dysregulation

Advanced Science, EarlyView.
Salivary citrate deficiency in early‐stage Sjögren's syndrome accompanies impaired dentin remineralization despite preserved salivary flow and mineral availability. Matched‐ion experiments reveal disrupted mineral organization and reduced dentin recovery at disease‐associated citrate levels.
Ran You, Wenhui Wang, Franklin R. Tay, Haotian Dong, Mutong Wei, Ruoyun Wu, Xin Song, Chen Chen, Haifeng Xie   +8 more
wiley   +1 more source

Segmented vs. Non-Segmented Heart Sound Classification: Impact of Feature Extraction and Machine Learning Models

Applied Sciences
Cardiovascular diseases remain a leading cause of mortality worldwide, emphasizing the importance of early diagnosis. Heart sound analysis offers a non-invasive avenue for detecting cardiac abnormalities. This study systematically evaluates the effect of
Ceyda Boz, Yucel Kocyigit
doaj   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Exploring the Impact of Meat Alternative Labeling Regulations on the U.S. Meat Consumption Patterns

Agribusiness, EarlyView.
ABSTRACT The global demand for conventional meat continues to rise, but it is also associated with substantial environmental and health challenges. In response, meat alternatives have gained popularity, sparking debates over meat alternative labeling regulations. This study investigates the effects of meat alternative labeling regulations in the United
Jeong Hun Ji, Sang Hyeon Lee
wiley   +1 more source

Pediatric heart sound segmentation

, 2014
Recent advances in technology have facilitated the prospect of automatic cardiac auscultation by using digital stethoscopes. This in turn creates the need for development of algorithms capable of automatic segmentation of the heart sound. Pediatric heart
Sedighian, Pouye
core  

Valvular Heart Disease Classification through Hierarchical Decomposition via Matrix Factorization of Scalogram-Based Phonocardiogram Representations [PDF]

Journal of Artificial Intelligence and Data Mining
This study introduces a novel classification framework based on Deep Orthogonal Non-Negative Matrix Factorization (Deep ONMF), which leverages scalogram representations of phonocardiogram (PCG) signals to hierarchically extract structural features ...
Samira Moghani, Hossein Marvi, Zeynab Mohammadpoory   +2 more
doaj   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Heart sound segmentation by hidden Markov models

, 2002
The segmentation of phonocardiogram (PCG) signals is the first step in the automatic diagnosis based on heart sounds. The majority of attempts to segment PCG signals depend on a reference provided by simultaneous electrocardiogram recordings.
Romero-Vivas, E., White, P.R., E.R. Vivas   +2 more
core   +1 more source

A review on deep learning methods for heart sound signal analysis

Frontiers in Artificial Intelligence
IntroductionApplication of Deep Learning (DL) methods is being increasingly appreciated by researchers from the biomedical engineering domain in which heart sound analysis is an important topic of study.
Elaheh Partovi, Ankica Babic, Ankica Babic, Arash Gharehbaghi   +3 more
doaj   +1 more source