Dec. 20, 2023, 4:50 a.m. | Madhur Garg

MarkTechPost www.marktechpost.com

In tackling the intricate task of predicting brain age, researchers introduce a groundbreaking hybrid deep learning model that integrates Convolutional Neural Networks (CNN) and Multilayer Perceptron (MLP) architectures. The challenge is accurately estimating an individual’s brain age, a metric crucial for understanding normal and pathological aging processes. Existing models often overlook the influence of sex-related […]


The post This AI Research Unveils a Deep Convolutional Neural Network CNN-MLP Algorithm for Enhanced Brain Age Prediction: A Game-Changer in Neurodegenerative Disease Prognosis …

age ai research ai shorts algorithm applications architectures artificial intelligence brain challenge cnn convolutional neural network convolutional neural networks deep learning disease editors pick game groundbreaking hybrid machine learning mlp network networks neural network neural networks perceptron prediction research researchers staff tech news technology

More from www.marktechpost.com / MarkTechPost

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Lead Data Modeler

@ Sherwin-Williams | Cleveland, OH, United States