Peter Moss AML/ALL AI Research Project

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.
This project is in memory of Peter Edward Moss who lost his battle with Acute Myeloid Leukemia in August 2019. The project is run entirely by volunteers and is not a registered Non Profit.

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What We Are Working On...

Detection

The project focuses mainly on Convolutional Neural Networks & Generative Adversarial Networks for detecting AML/ALL. We are researching and developing a number of implementations/solutions to compare and find the most effective.

More Info... | Classifiers Repository

Drug Discovery

One of the areas that the drug discovery R&D focuses on is the use of Generative Adversarial Networks (GANs) in drug discovery. The Drug Discovery Team are creating multiple implementations/solutions to compare and find the most effective.

More Info... | Drug Discovery Repository

Natural Language

We look into the use of Natural Linguistics to assist Acute Myeloid / Lymphoblastic Leukemia patients and family. We are researching and developing a number of implementations/solutions to compare and find the most effective.

More Info... | Conversational Agents Repository

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 including 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.
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Project History

The project was created after Peter Moss was diagnosed with Acute Myeloid Leukemia and given a few weeks to live. At the time there was little in depth information/datasets easily available online or through the doctors. A Facebook post by one of Peter's grandsons, Adam Milton-Barker, in Artificial Intelligence & Deep Learning (AIDL) Group on Facebook brought the project to the attention of Ho Leung Ng, Associate Professor of Biochemistry & Molecular Biophysics at Kansas State University. As a leukemia researcher, Ho was able to share information of datasets, research papers and access to people who are researching/volunteering their time/experience to early detection and drug discovery for Acute Myeloid and Lymphoblastic Leukemia.

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Meet Our Team...

The Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project team is a group of volunteers with experience in computer vision / natural language processing, Leukemia research, Biochemistry, Molecular Biophysics, Immunology and Bioinformation.

This project is run entirely by volunteers and is not a registered Non Profit.

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Adam Milton-Barker

Project Founder
Intel Software Innovator

Adam Milton-Barker is Peter's eldest grandson and Peter Moss Acute Myeloid / Lymphoblastic Leukemia AI Research Project Founder.

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Prof. Ho Leung Ng

Project Co-Founder, Student Mentor & R&D
Intel Software Innovator

Prof. Ho Leung Ng is one of the three founding team members of the Peter Moss Acute Myeloid / Lymphoblastic Leukemia AI Research Project and oversees the Peter Moss AML/ALL AI Student Program.

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Prof. Amita Kapoor

Project Co-Founder, Student Mentor & R&D
Intel Software Innovator

Prof. Amita Kapoor is one of the three founding team members of the Peter Moss Acute Myeloid / Lymphoblastic Leukemia AI Research Project and oversees the Peter Moss AML/ALL AI Student Program.

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Estela Cabezas

Leukemia / AI R&D
Intel Software Innovator

Estela was introduced to the project by Adam in early 2019 to get assistance from the team for her thesis. Since then Estela has volunteered her time to 3 events representing the project, and her second time representing the project as an Intel Software Innovator.

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Salvatore Raieli

Leukemia / AI R&D

Salvatore Raieli joined the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project in 2019. Since then Salvatore has contributed towards the project Github repositories providing code for using Fast AI for classifying Acute Lymphoblastic Leukemia.

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Rishabh Banga

Leukemia / AI R&D
Intel Software Innovator

Rishabh Banga joined the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project in 2019.

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AML/ALL AI Student Program

The Peter Moss Acute Myeloid Leukemia/Lymphoblastic Leukemia AI Student Program is headed by team members Ho Leung Ng - Dept. Biochemistry & Molecular Biophysics @ Kansas State University, and Amita Kapoor - Associate Professor @ Delhi University. In addition to working with your tutors, you will be able to communicate through the group with team members Adam Milton-Barker, Estela Cabezas, Salvatore Raieli and Rishabh Banga.

The Peter Moss AML/ALL AI Student Program is entirely free! Approved students will learn how to develop AI for medical use cases using open source tools. Please understand that due to the size of our team, not all requests can be approved immediately.

Meet The Students/Research Interns...

One of the benefits of being a member of the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Student Program is that we are able to provide exposure for students and acknowledgement for their participation in the program through our website and social media.

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Estela Cabezas

BSc Biotechnology
Intel Software Innovator

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Taru Jain

Pre-final year undergraduate pursuing B.Tech in IT
Research Intern

Find out more on our Student Program Page.

Open Research / Information / Data / Code

One of the primary focuses of the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project is to find and publish information that may be useful for families that need support, students, developers and researchers in the medical field. We release all public information relating to Acute Myeloid & Lymphoblastic Leukemia to our Research Archive on Github, and our project Facebook page.

Information that we publish includes links to Acute Myeloid & Lymphoblastic Leukemia related information, papers, datasets, cancer/leukemia research centers, drugs and other AML/ALL related public information we come across during life experience and our research. For this purpose we have created the AML & ALL Research Archives dedicated to open information and tools. The repository currently provides access to links and information about Research Papers, Cancer Research Centers, Leukemia, Datasets, Drugs, Code, Software, Websites and Facebook Pages, Groups & Fundraisers.

In addition to sharing information, we also create and share open source projects to our Github repositories. Our repositories cover Acute Myeloid & Lymphoblastic detection / early detection, Acute Myeloid & Lymphoblastic drug discovery and conversational agents. Additionally you can also download the Peter Moss Acute Myeloid & Lymphoblastic Leukemia Detection System, the project that we use in live demonstrations. The demo server is based on GeniSysAI, an open source intelligent network using Computer Vision, Natural Linguistics & Internet of Things powered by the iotJumpWay.

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Project Fundraisers

The Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project will run yearly fundraisers for to help raise funds for cancer research. One fundraiser will be run on the 3rd of March (Adam's birthday) each year for the Hematology Oncology Center in Port St Lucie and one on the 24th of August each year for Moffitt Cancer Center in memory of Peter Moss on the anniversary of his passing.

Thanks to the donators of the 2 fundraisers a total of 945 euros has been raised for Moffitt Cancer Center (H Lee Moffitt Cancer Center and Research Institute Foundation Inc). It is an honor that the Peter Moss Acute Myeloid/Lymphoblastic Leukemia was mentioned in a thank you letter from Moffitt Cancer Center. Thank you to Moffit and all of the donators and people that helped share the fundraisers!

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Adam's Birthday Fundraiser

A fundraiser was created on Facebook to help raise money for Moffitt Cancer Center (H Lee Moffitt Cancer Center and Research Institute Foundation Inc), one of the centers that assisted Peter Moss during his year long battle with Acute Myeoloid Leukemia.

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Moffitt Deserve Help

A fundraiser was created on Facebook to help raise money for Moffitt Cancer Center (H Lee Moffitt Cancer Center and Research Institute Foundation Inc), in memory of his Peter Moss after his passing.

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Project Related Articles

Acute Myeloid/Lymphoblastic Leukemia Data Augmentation

Adam Milton-Barker
Intel AI Dev Program Documentation

The AML/ALL Classifier Data Augmentation program applies filters to datasets and increases the amount of training / test data available to use.

Detecting Acute Lymphoblastic Leukemia Using Caffe, OpenVino & Neural Compute Stick 2: Part 2 Preparing the Acute Lymphoblastic Leukemia dataset

Preparing the Acute Lymphoblastic Leukemia dataset

Adam Milton-Barker
Intel AI Dev Program Documentation

In this article I will cover the steps required to create the dataset required to train the model using the network we defined in the previous tutorial. The article will cover the paper exactly, and will use the original 108 image dataset (ALL_IDB1).

Detecting Acute Lymphoblastic Leukemia Using Caffe, OpenVino & Neural Compute Stick 2: Part 1 Introduction to convolutional neural networks in Caffe

Introduction to convolutional neural networks in Caffe

Adam Milton-Barker
Intel AI Dev Program Documentation

This is the first part of a series of articles that will take you through my experience building a custom classifier with Caffe that should be able to detect Acute Lymphoblastic Leukemia.

Harness the Power of Data from Connected Things

Intel Developer Zone

At the Intel demo showcase at Embedded World*, members of a broad Intel ecosystem showcased solutions enabled by Intel® IoT hardware technologies and software in four main areas: computer vision, edge AI, secure provisioning, and workload consolidation.

Inception V3 Deep Convolutional Architecture For Classifying Acute Myeloid/Lymphoblastic Leukemia

Adam Milton-Barker
Intel AI Dev Program Documentation

This article will take you through some information about Inception V3, transfer learning, and how we use these tools in the Acute Myeloid/Lymphoblastic Leukemia AI Research Project.

The Peter Moss Acute Myeloid/Lymphoblastic Leukemia Detection System is a featured project on Intel Devmesh, the Intel Developer Zone social network.

The project is an open source extension of the GeniSys AI Artificial Intelligence Network that allows you to upload AML/ALL test data and run classifications to detect positive and negative examples using Intel technologies.

The project has recently been voted 1st in Europe out of 4 projects, and awarded the Intel® DevMesh AI Spotlight Award which is a new designation granted by Intel recognizing inspiring and breakthrough Artificial Intelligence projects in development from the Intel software community.

Visit This Project On Intel Devmesh...

Photo Gallery

Find team photos, Embedded World 2019 photos and more in the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project Photo Gallery.

Salvatore Raieli

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Team Photos

Salvatore Raieli joined the Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project in 2019.

A castle train station entrance Nuremberg

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Embedded World 2019, Nuremberg, Germany

The entrance to a train station, first night in Nuremberg.

Embedded World Nuremberg Germany

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Embedded World 2019, Nuremberg, Germany

Intel / Intel Software Innovators group photo in front of the Acute Myeloid & Lymphoblastic Leukemia Detection System at Embedded World.

Project Related Events

Below you will find information, photos, videos and links for events related to the Peter Moss Acute Myeloid / Lymphoblastic Leukemia AI Research Project.

Codemotion 2019, Madrid, Spain

Intel Software Innovator Events

24th September 2019 525

The team was invited to give a speakership @ CodeMotion in Madrid in the Code Motion Diversity In Tech Topic. Estela Cabezas will be representing our team and giving a talk on the structure and recent developments of the project.

Intel Dev Affinity Day 2019, Munich, Germany

Intel Software Innovator Events

7th May 2019 464

The team was invited to attend the invite only event of Intel Software Innovators and Student Ambassadors with Intel staff and executives, Intel Developer Affinity Day at the Intel IoT Lab in Munich.

Embedded World 2019, Nuremberg, Germany

Intel Software Innovator Events

26 - 28 February 2019 509

In Feb 2019, Adam Milton-Barker and Estela Cabezas demonstrated the Peter Moss Acute Myeloid/Lymphoblastic Leukemia Detection System at Embedded World, in Nuremberg Germany, with Intel through the Intel Software Innovators program.

Tribute Photo Gallery

In Memory Of Peter Edward Moss. A tribute to Peter sharing moments in his life that have been shared by family & friends.

Family Photo Shoot

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In Memory Of Peter Edward Moss

Taken at a family photo shoot around 2001.

Night Out @ Fleming’s Steak House

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In Memory Of Peter Edward Moss

Peter enjoying a night out at Fleming’s Steak House in Sarasota Fl.

Say Cheeeeze

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In Memory Of Peter Edward Moss

A cheeky smile, 2019.

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.

This project is in memory of Peter Edward Moss who lost his battle with Acute Myeloid Leukemia in August 2019.

Project Research

© Peter Moss AML & ALL AI Research Project 2018. All Rights Reserved.
This project is entirely volunteer and is not a registered Non Profit.
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What We Are Working On...

Detection

Drug Discovery

Natural Language

Project History

Meet Our Team...

AML/ALL AI Student Program

Meet The Students/Research Interns...

Find out more on our Student Program Page.

Open Research / Information / Data / Code

Project Fundraisers

Project Related Articles

Acute Myeloid/Lymphoblastic Leukemia Data Augmentation

Preparing the Acute Lymphoblastic Leukemia dataset

Introduction to convolutional neural networks in Caffe

Harness the Power of Data from Connected Things

Inception V3 Deep Convolutional Architecture For Classifying Acute Myeloid/Lymphoblastic Leukemia

Peter Moss Acute Myeloid & Lymphoblastic Leukemia Detection Systemon Intel Devmesh

Project Related Events

Project Social Media

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Peter Moss Acute Myeloid & Lymphoblastic Leukemia Detection System
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