The Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project Archives document public information, datasets, code and papers related to Acute Myeloid Leukemia and Acute Lymphoblastic Leukemia that we come across through research and development.
Links to all public research papers, code, tutorials and datasets that we come across during the R&D of this project will also be made available via the Research Archives and our Facebook pages.
Our research archives will contain all public information we are able to find that is related to Acute Myeloid & Lymphoblastic Leukemia if we feel the information is relevant. We also greatly appreciate community members that have had experiences with AML/ALL sharing their experience and advice to the community.
If you are not a dev/know how to use Github please email and it will be verified and uploaded on your behalf.
The primary research archives are as follows:
The Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project is an open source project with the goals of leveraging Artificial Intelligence to help detect AML/ALL and discover potential candidates for drugs to help combat the diseases. The project is in memory of Peter Edward Moss who lost his battle with Acute Myeloid Leukemia in August 2019.
The project is being coordinated by a group of volunteers with experience in computer vision / natural language processing, Leukemia research, Biochemistry, Molecular Biophysics, Immunology and Bioinformation.
The purpose of the project is to share public information related to AML/ALL, as well as open source projects aimed at early dectection with convolutional neural networks, using natural language understanding for AML/ALL chatbots, and R&D for discovering potential candidates for drugs for AML/ALL.
The official team is currently made up of:
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Adam Milton-Barker - Bigfinite IoT Network Engineer & Intel Software Innovator
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Ho Leung Ng - Kansas State University, Dept. Biochemistry & Molecular Biophysics - Intel Software Innovator
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Amita Kapoor - Associate Professor @ Delhi University, New Dehli, India
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Estela Cabezas - Degree in Biotechnology @ Universitat de Vic, Catalunya, Spain - Intel Software Innovator
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Salvatore Raieli - Salvatore Raieli attended a Biotechnology degree at a university in Paris for his PhD.
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Rishabh Banga - Software Dev @ Seamens & Intel Software Innovator
The project is split up into multiple smaller projects. The current structure includes:
The Peter Moss Aml/All AI Student Program provides college & university students with real world projects & experience in working with AI for medical purposes, helping further their education and understanding of real world medical AI systems.
The Student Program is headed by team members Ho Leung Ng - Dept. Biochemistry & Molecular Biophysics @ Kansas State University, and Amita Kapoor - Associate Professor @ Delhi University.
If you would like to join the Student Developer Program please answer the questions on the Private AML/ALL AI Student Program Chat Group.
If you would like to volunteer to the research project or student program as a professional, please use the contact form on our website and select Professional Volunteer.
The project was initially created with the hope other developers and people in the medical industry may find the software and tutorials useful, and may contribute back to the Github community helping improve the project. Feel free to submit pull requests with your suggested edits / bug fixes / additions to the related repositories on Github.
The Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research project encourages and welcomes code contributions, bug fixes and enhancements from the Github.
Please read the CONTRIBUTING document for a full guide to forking our repositories and submitting your pull requests. You will also find information about our code of conduct on this page.
- Adam Milton-Barker - Bigfinite IoT Network Engineer & Intel Software Innovator, Barcelona, Spain
- Ho Leung Ng - Associate Professor of Biochemistry & Molecular Biophysics at Kansas State University, USA
We use SemVer for versioning. For the versions available, see Releases.
This project is licensed under the MIT License - see the LICENSE file for details.
We use the repo issues to track bugs and general requests related to using this project.