Difference between revisions of "Healthcare and Life Sciences"

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[[Category:Help]]
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{|align=right
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  |__TOC__
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This page describes the collection of Healthcare and Life Sciences software on HiperGator. Artificial intelligence (AI), including machine learning (ML), has the potential to revolutionize human health and medical research by enabling software to learn from past examples and make informed decisions in life sciences. Research Computing AI support will assist in developing and refining advanced models for various tasks in healthcare and life science, including medical image analysis, disease detection, and genomic data interpretation, through [https://support.rc.ufl.edu/ support requests] or [https://www.rc.ufl.edu/get-started/purchase-allocation/training--consultation-rates/ consulting].
  
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= Deep Learning Frameworks =
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There are preinstalled and configured environments on HiPerGator for the most frequently used deep learning frameworks including tensorflow, pytorch, and MxNet. The available deep learning frameworks can be queried using
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  module spider [pytorch/tensorflow/mxnet]</code>
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Users can also customize their own conda environment following this tutorial: [[Managing Python environments and Jupyter kernels]]
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= Module environments for Healthcare and Life Sciences=
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Below are a number of module environments or framework that is configured for training or your deep learning models on HiPerGator-AI.
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*'''[[Monai|MONAI core]]''': MONAI Core is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem.
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**Use the command below to list the available versions on HiPerGator-AI. Please see recorded [https://help.rc.ufl.edu/doc/Monai MONAI Core tutorials] for details.
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  <pre>module spider monai</pre>
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*'''[[MONAI_label|MONAI label]]''': MONAI Label is an intelligent open source image labeling and learning tool that enables users to create annotated datasets and build AI annotation models. MONAI Label reduces the time and effort of annotating new datasets and enables the adaptation of AI to the task at hand by continuously learning from user interactions and data.
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**Use the command below to list the available versions on HiPerGator-AI. Please see recorded [https://help.rc.ufl.edu/doc/Monai MONAI Label tutorials] for details.
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  <pre>module spider ngc-monailabel</pre>
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*'''[[Monai|MONAI core]]''': MONAI Core is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem.
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**Use the command below to list the available versions on HiPerGator-AI. Please see recorded [https://help.rc.ufl.edu/doc/Monai MONAI Core tutorials] for details.
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**<pre>module spider monai</pre>

Revision as of 19:30, 8 May 2024

This page describes the collection of Healthcare and Life Sciences software on HiperGator. Artificial intelligence (AI), including machine learning (ML), has the potential to revolutionize human health and medical research by enabling software to learn from past examples and make informed decisions in life sciences. Research Computing AI support will assist in developing and refining advanced models for various tasks in healthcare and life science, including medical image analysis, disease detection, and genomic data interpretation, through support requests or consulting.

Deep Learning Frameworks

There are preinstalled and configured environments on HiPerGator for the most frequently used deep learning frameworks including tensorflow, pytorch, and MxNet. The available deep learning frameworks can be queried using 

 module spider [pytorch/tensorflow/mxnet]

Users can also customize their own conda environment following this tutorial: Managing Python environments and Jupyter kernels

Module environments for Healthcare and Life Sciences

Below are a number of module environments or framework that is configured for training or your deep learning models on HiPerGator-AI.

  • MONAI core: MONAI Core is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem.
    • Use the command below to list the available versions on HiPerGator-AI. Please see recorded MONAI Core tutorials for details.
module spider monai
  • MONAI label: MONAI Label is an intelligent open source image labeling and learning tool that enables users to create annotated datasets and build AI annotation models. MONAI Label reduces the time and effort of annotating new datasets and enables the adaptation of AI to the task at hand by continuously learning from user interactions and data.
    • Use the command below to list the available versions on HiPerGator-AI. Please see recorded MONAI Label tutorials for details.
module spider ngc-monailabel
  • MONAI core: MONAI Core is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of PyTorch Ecosystem.
    • Use the command below to list the available versions on HiPerGator-AI. Please see recorded MONAI Core tutorials for details.
    • module spider monai
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