Since our first research project began, we have been dedicated to finding and sharing open information about Leukemia, as well as datasets, code and research papers.
The Asociación de Investigacion en Inteligencia Artificial Para la Leucemia Peter Moss Information Database is a collection of open information related to Leukemia, other blood/bone marrow cancers & COVID-19.
This database began in 2018 as a Github repository.
We welcome information contributions from the public. If you would like to share something that you feel is relevant for this directory, please choose "Submit Information" in the form on our contact page.
PLEASE NOTE: In most cases we have no affiliation with the organizations and information shared in this directory. The Open Information Database is a free service where we promote information related to our mission and social objectives. This directory also includes our own, and partners research/information and projects.
Research Centers / Hospitals & Universities
In this database you will find a directory of research centers, hospitals & universities working on the global issue of Leukemia, other blood/bone marrow cancers & COVID-19.
Families & Carers
In this database you will find an archive of information for families and carers dealing with leukemia, other blood/bone cancers & COVID-19.
Medical Crowdfunding Campaigns
In this database you will find a directory of Leukemia & medical related crowdfunding campaigns.
Medical Documentaries
In this database you will find an archive of Leukemia & medical related documentaries.
Medical Courses
In this database you will find an archive of Leukemia & medical related courses.
Medical Events
In this database you will find a directory of Leukemia & medical related events.
Medical Drugs
In this database you will find an archive of information about drugs for Leukemia, other blood/bone marrow cancers & COVID-19.
Clinical Trials
In this database you will find an archive of Leukemia related clinical trials. Please Note: We are not connected with, nor endorse any clinical trials shared in this directory.
Leukemia
In this database you will find an archive of open information related to Leukemia.
Other Blood Cancers
In this database you will find an archive of open information about other blood cancers and blood diseases.
Other Cancers
In this database you will find an archive of open information about other Cancers.
COVID-19 (SARS-CoV-2)
In this database you will find an archive of open information about COVID-19 (SARS-CoV-2).
Open Research Papers
In this database you will find an archive of leukemia, other blood/bone marrow cancer & COVID-19 related research papers.
Open-Source Code
In this database you will find an archive of open-source code that can be used for medical research such as Leukemia, other blood/bone marrow cancers & COVID-19 detection.
Open Datasets
In this database you will find an archive of open leukemia, other blood/bone cancer & COVID-19 related datasets.
Medical image diagnosis in leukemia
In LeukemiaIn this article our immunology and bioinformatics expert Salvatore Raieli, focuses on machine learning and deep learning in medical images diagnosis. The increase in available data, hardware capabilities and cloud computing are allowing a great development in the field, and medicine is benefiting from this revolution. Nowadays, many algorithms can be run in a personal computer or in cloud service, increasing the potential number of users and researchers.
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Acute Lymphoblastic Leukemia Papers Evaluation Part 1 Tensorflow 2.0
In Open-Source CodeHere we will replicate the network architecture and data split proposed in the Acute Leukemia Classification Using Convolution Neural Network In Clinical Decision Support System paper and compare our results. In the paper, the authors do not go into the evaluation of the model, however, in this project we will go deeper into how well the model actually does. Author: Adam Milton-Barker.
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COVID-19 Tensorflow DenseNet Classifier
In Open-Source CodeThis project provides the source codes and tutorial for creating a Convolutional Neural Network for detecting COVID-19 in CT-Scans.
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Acute Lymphoblastic Detection System 2019 Data Augmentation
In Open-Source CodeThe ALL Detection System 2019 Data Augmentation program applies augmentations/filters to datasets and increases the amount of training/test data available to use. The program is part of the computer vision research and development for the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project.
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Diagnosing Leukemia in Blood Smear Images Using an Ensemble of Classifiers and Pre-Trained Convolutional Neural Networks
In Open Research PapersLeukemia is a worldwide disease. In this paper we demonstrate that it is possible to build an automated, efficient and rapid leukemia diagnosis system.
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Hematology and Oncology, Port St Lucie, Florida
In Research Centers / Hospitals & UniversitiesProviding consultation, treatment, and follow-up care to patients referred to our specialty by the primary care physicians of the Treasure Coast and surrounding communities. The Port St Lucie Office was where Peter received his vidaza treatments and blood transfusions.
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Bloodwise, London, United Kingdom
In Research Centers / Hospitals & UniversitiesBloodwise funds world-class research into all types of blood cancer. We're here for you too – we support anyone worried about blood cancer with expert information and advice.
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Acute Lymphoblastic Leukemia Detection System 2019
In Open-Source CodeIntel DevMesh AI Spotlight Award winner. Acute Lymphoblastic Leukemia Detection System 2019 uses Tensorflow 1.4.1 & Neural Compute Stick 1 to provide an intelligent network and diagnosis system.
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Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics
In Open Research PapersOur results support the notion that transcriptomics combined with machine learning could be used as part of an integrated -omics approach wherein risk prediction, differential diagnosis, and subclassification of AML are achieved by genomics while diagnosis could be assisted by transcriptomic-based machine learning. AUTHORS: Stefanie Warnat-Herresthal Konstantinos Perrakis, Bernd Taschler, Matthias Becker, Kevin Baßler, Marc Beyer, Patrick Gu¨ nther,1 Jonas Schulte-Schrepping, Lea Seep, Kathrin Klee, Thomas Ulas, Torsten Haferlach, Sach Mukherjee, and Joachim L. Schultze
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EMAR (Emergency Assistance Robot) Mini
In Open-Source CodeEMAR Mini is a miniature version of EMAR, an open-source Emergency Robot Assistant to assist doctors, nurses and hospital staff during the COVID-19 pandemic, and similar situations we may face in the future.
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