Results 21 to 30 of about 2,022,626 (303)

AgeGuess, a Methylomic Prediction Model for Human Ages

Frontiers in Bioengineering and Biotechnology, 2020
Aging was a biological process under regulations from both inherited genetic factors and various molecular modifications within cells during the lifespan.
Xiaoqian Gao, Shuai Liu, Haoqiu Song, Haoqiu Song, Xin Feng, Meiyu Duan, Lan Huang, Fengfeng Zhou   +7 more
doaj   +1 more source

Age and Gender Prediction

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: The method of classifying facial photos or videos into distinct age groups, known as age group classification, is crucial for a variety of industries, including recruitment, security, healthcare, and intelligent social robots. This article offers a thorough methodology for classifying age groups.
Shama Shilpi, Shwetank Aryan
openaire   +1 more source

Optimal Method for Fetal Brain Age Prediction Using Multiplanar Slices From Structural Magnetic Resonance Imaging

Frontiers in Neuroscience, 2021
The accurate prediction of fetal brain age using magnetic resonance imaging (MRI) may contribute to the identification of brain abnormalities and the risk of adverse developmental outcomes.
Jinwoo Hong, Jinwoo Hong, Hyuk Jin Yun, Hyuk Jin Yun, Gilsoon Park, Seonggyu Kim, Yangming Ou, Yangming Ou, Yangming Ou, Yangming Ou, Lana Vasung, Lana Vasung, Caitlin K. Rollins, Cynthia M. Ortinau, Emiko Takeoka, Shizuko Akiyama, Tomo Tarui, Judy A. Estroff, Patricia Ellen Grant, Patricia Ellen Grant, Patricia Ellen Grant, Jong-Min Lee, Kiho Im, Kiho Im   +23 more
doaj   +1 more source

Predicting Brain Age of Healthy Adults Based on Structural MRI Parcellation Using Convolutional Neural Networks

Frontiers in Neurology, 2020
Structural magnetic resonance imaging (MRI) studies have demonstrated that the brain undergoes age-related neuroanatomical changes not only regionally but also on the network level during the normal development and aging process.
Huiting Jiang, Na Lu, Kewei Chen, Li Yao, Ke Li, Jiacai Zhang, Xiaojuan Guo, Xiaojuan Guo   +7 more
doaj   +1 more source

Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts. [PDF]

, 2018
OBJECTIVES: To develop and validate a genetic tool to predict age of onset of aggressive prostate cancer (PCa) and to guide decisions of who to screen and at what age.

core   +2 more sources

Human Emotion Detection Using DeepFace and Artificial Intelligence

Engineering Proceedings, 2023
An emerging topic that has the potential to enhance user experience, reduce crime, and target advertising is human emotion recognition, utilizing DeepFace and Artificial Intelligence (AI). The same feeling may be expressed differently by many individuals.
Ramachandran Venkatesan, Sundarsingh Shirly, Mariappan Selvarathi, Theena Jemima Jebaseeli   +3 more
doaj   +1 more source

FADS: An Intelligent Fatigue and Age Detection System

Mathematics, 2023
Nowadays, the use of public transportation is reducing and people prefer to use private transport because of its low cost, comfortable ride, and personal preferences.
Mohammad Hijji, Hikmat Yar, Fath U Min Ullah, Mohammed M. Alwakeel, Rafika Harrabi, Fahad Aradah, Faouzi Alaya Cheikh, Khan Muhammad, Muhammad Sajjad   +8 more
doaj   +1 more source

Assessing Machine Learning Models for Predicting Age with Intracranial Vessel Tortuosity and Thickness Information

Brain Sciences, 2023
This study aimed to develop and validate machine learning (ML) models that predict age using intracranial vessels’ tortuosity and diameter features derived from magnetic resonance angiography (MRA) data.
Hoon-Seok Yoon, Jeongmin Oh, Yoon-Chul Kim   +2 more
doaj   +1 more source

Curriculum Learning for Age Estimation from Brain MRI

Applied Computer Systems, 2021
Age estimation from brain MRI has proved to be considerably helpful in early diagnosis of diseases such as Alzheimer’s and Parkinson’s. In this study, curriculum learning effect on age estimation models was measured using a brain MRI dataset consisting ...
Asan Alican, Terzi Ramazan, Azginoglu Nuh   +2 more
doaj   +1 more source

Brain age prediction using the graph neural network based on resting-state functional MRI in Alzheimer's disease

Frontiers in Neuroscience, 2023
IntroductionAlzheimer's disease (AD) is a neurodegenerative disease that significantly impacts the quality of life of patients and their families. Neuroimaging-driven brain age prediction has been proposed as a potential biomarker to detect mental ...
Jingjing Gao, Jiaxin Liu, Yuhang Xu, Dawei Peng, Zhengning Wang   +4 more
doaj   +1 more source