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Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project

Introduction

The Peter Moss AML & ALL AI Research Project is an open source research project with the goals of using artificial intelligence to help detect AML/ALL and discover potential candidates for drugs to help combat the diseases.

  

2018 How Our Journey Began

Our first research project, the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project, was created in 2018 by Adam Milton-Barker after his grandfather, Peter Moss, was diagnosed with Acute Myeloid Leukemia (AML), given a few weeks to live. The immediate challenge for Peter's family was finding information and advice that could help them understand how to live with the disease. With AML, there are no known warning signs, so early detection is very hard, if not impossible. In Peter's case, the disease was completely missed in a standard blood test 1 month before being diagnosed with AML.

Adam has a number of years experience developing computer vision and natural language understanding applications focused on real world applications, and had previously created a Computer Vision (Artificial Intelligence) project to detect a form of breast cancer known as Invasive Ductal Carcinoma. BreastCancerAI was where Adam's experience began with using modern technologies for medical purposes. He wanted to see if he could use that experience to build a classifier to detect AML.

Unlike finding open data for breast cancer, computer vision datasets for Acute Myeloid Leukemia are hard to come across. A reply to a post made in Artificial Intelligence & Deep Learning (AIDL) group on Facebook directed the team to the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset by Fabio Scotti - Associate Professor Dipartimento di Informatica @ Università degli Studi di Milano. This dataset became the foundation of our leukemia research since 2018.

  

2019 Our Mission Took Shape

During 2019, the project attracted researchers and developers from throughout the globe and are we started a free student program that allows students to work on real world medical problems in the medical industry.

Through the Intel Software Innovators Program, we were given the opportunity to talk about and present our technology at several events throughout Europe, including Embedded World 2019, Nuremberg, Germany, Intel Dev Affinity Day 2019, Munich, Germany and Codemotion 2019, Madrid, Spain.

  

Estela Cabezas joined our team in 2019 as a student on our student program and presented our project at Embedded World 2019, Intel Dev Affinity Day 2019 and Codemotion 2019. Estela was able to use our project as case study in her thesis: Applied Analytics for clinical decision support and not long after joined our team as a permanent team member.

  

2019 Peter Passed Away

In August 2019, after battling AML for one day short of a year since being terminally diagnosed, Peter Moss sadly passed away. In his memory the team committed to the fight against leukemia & other blood cancers in his name.

Our goal remains to continue providing researchers, students, developers and medical professionals a way to contribute and collaborate towards finding ways to battle Leukemia with technology, as well as giving the public a platform to find open information about leukemia, and speak with our team and professionals.

  

The Future Of The Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project

The Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project will always hold a special place in our hearts. Peter's fight with Acute Myeloid Leukemia inspired the research project, and in his name we will continue to work on open source technologies to help battle and understand Acute Myeloid Leukemia. We will be continuing to build the research project and team, with the goals of onboarding more medical professionals. We now have access to a couple of Acute Myeloid Leukemia Datasets, and are planning our first Acute Myeloid Leukemia projects, AML-Tensorflow-2020 and AML-Genomics-2020.

  

JOIN US

Our progress relies on volunteers to help us build and validate our technology. If you would like to join our team as a professional volunteer, please use the form on our Professional Volunteer Application page.