Federated learning for predicting clinical outcomes in patients with COVID-19
Federated learning (FL) is a method used for training artificial intelligence models with data
from multiple sources while maintaining data anonymity, thus removing many barriers to …
from multiple sources while maintaining data anonymity, thus removing many barriers to …
Integrated CNN and federated learning for COVID-19 detection on chest X-ray images
Currently, Coronavirus Disease 2019 (COVID-19) is still endangering world health and
safety and deep learning (DL) is expected to be the most powerful method for efficient …
safety and deep learning (DL) is expected to be the most powerful method for efficient …
[HTML][HTML] The effect of influenza vaccine on severity of COVID-19 infection: An original study from Iran
Background: The COVID-19 infection is a novel virus that mainly targets the respiratory
system via specific receptors without any coronavirus-targeted therapies. Many efforts have …
system via specific receptors without any coronavirus-targeted therapies. Many efforts have …
[HTML][HTML] Prediction of COVID-19 patients' Survival by deep learning approaches
Background: Despite many studies done to predict severe coronavirus 2019 (COVID-19)
patients, there is no applicable clinical prediction model to predict and distinguish severe …
patients, there is no applicable clinical prediction model to predict and distinguish severe …
Efficient classification of sars-cov-2 spike sequences using federated learning
This paper presents a federated learning (FL) approach to train an AI model for SARS-Cov-2
variant classification. We analyze the SARS-CoV-2 spike sequences in a distributed way …
variant classification. We analyze the SARS-CoV-2 spike sequences in a distributed way …
Overview of real-world applications of federated learning with NVIDIA FLARE
Today's challenges around global healthcare emphasize the need for large-scale
collaborations between the clinical and sciesntific communities. However, regulatory …
collaborations between the clinical and sciesntific communities. However, regulatory …