Open Information Database

The Asociacion De Investigacion En Inteligencia Artificial Para La Leucemia Peter Moss Open Information Database is a collection of open information related to Leukemia, other blood/bone marrow cancers & COVID-19.

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 Leukemia AI Research Open 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 on the Peter Moss AML & ALL AI Research Project Github organization. The AML ALL Research Archive will remain active, feel free to check it out.

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.



Research Centers / Hospitals & Universities

Research Centers / Hospitals & Universities

In this database you will find an archive of research centers, hospitals & universities working on the global issue of Leukemia, other blood/bone marrow cancers & COVID-19.



Open Research Papers

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

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

Open Datasets

In this database you will find an archive of open leukemia, other blood/bone cancer & COVID-19 related datasets.



Leukemia

Leukemia

In this database you will find an archive of open leukemia information.



Bone Marrow Cancers

Bone Marrow Cancers

In this database you will find an archive of open information about Bone Marrow Cancers.



Blood Diseases

Blood Diseases

In this database you will find an archive of open information about Blood Diseases.



COVID-19 (SARS-CoV-2)

COVID-19 (SARS-CoV-2)

In this database you will find an archive of open information about COVID-19 (SARS-CoV-2).



Drugs

Drugs

In this database you will find an archive of information about drugs for leukemia, other blood/bone marrow cancers & COVID-19.



Families & Carers

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 .



Leukaemia UK, London, United Kingdom

Leukaemia UK, London, United Kingdom

Leukaemia UK is dedicated to innovative research and care for people affected by leukaemia and other blood cancers.

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A Single-cell Morphological Dataset of Leukocytes from AML Patients and Non-malignant Controls (AML-Cytomorphology_LMU)

A Single-cell Morphological Dataset of Leukocytes from AML Patients and Non-malignant Controls (AML-Cytomorphology_LMU)

The Munich AML Morphology Dataset contains 18,365 expert-labeled single-cell images taken from peripheral blood smears of 100 patients diagnosed with Acute Myeloid Leukemia at Munich University Hospital between 2014 and 2017, as well as 100 patients without signs of hematological malignancy.

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Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics

Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics

Our 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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ALL FastAI Resnet 34 Classifier

ALL FastAI Resnet 34 Classifier

The ALL FastAI Resnet 34 Classifier was created by Salvatore Raieli. The project provides a Google Colab notebook that uses FastAI with Resnet34 and ALL_IDB2 from the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset.

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Diagnosing Leukemia in Blood Smear Images Using an Ensemble of Classifiers and Pre-Trained Convolutional Neural Networks

Diagnosing Leukemia in Blood Smear Images Using an Ensemble of Classifiers and Pre-Trained Convolutional Neural Networks

Leukemia 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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Leukemia AI Research

De Asociacion De Investigation En Intelligencia Artificial Para La Leucemia Peter Moss is a non profit research association dedicated to researching into the Artificial Intelligence and other modern technologies, and how they can be used in the fight against Leukemia and other blood cancers.

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