Abstract: Currently, oxygen uptake () is the most precise means of investigating aerobic fitness and level of physical activity; however, can only be directly measured in supervised conditions.
From Nature Abstract: Cancers that appear pathologically similar often respond differently to the same drug regimens.
From Nature The research relied on a convolutional neural network, a type of deep-learning algorithm that is transforming how biologists analyse images.
Abstract: Time-to-event outcomes are common in medical research as they offer more information than simply whether or not an event occurred.
Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning Abstract: Traditionally, medical discoveries are made by observing associations, making hypotheses from them and then designing and running experiments to test the hypotheses.
That’s why I like more “tear down” projects and papers (that kind of paper helps to open our eyes in the right criticism) than “look-my-shiny-not-reproducible-paper-project” .
Optimization for Deep Learning Algorithms: A Review ABSTRACT: In past few years, deep learning has received attention in the field of artificial intelligence.
Driver behavior profiling: An investigation with different smartphone sensors and machine learning Abstract: Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions.
BACKGROUND/AIM: Using machine learning approaches as non-invasive methods have been used recently as an alternative method in staging chronic liver diseases for avoiding the drawbacks of biopsy.
Optimization for Deep Learning Algorithms: A Review Abstract: In past few years, deep learning has received attention in the field of artificial intelligence.