Deep learning for distinguishing morphological features of Acute Promyelocytic Leukemia

Intel 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. Project by Adam Milton-Barker.

A repository dedicated to sharing the AML/ALL related public information, papers, code and datasets that we come across through R&D.

Bioinformatics course project - Fall 2020, analysis of genetic expression omnibus (GEO) data series of Acute Myeloid Leukemia

Federated digital pathology: classification of Acute Myeloid Leukemia (AML) cells with a CNN.

A collection of papers, reviews and applications related to Acute Myeloid Leukemia (AML)

This repository contains supplementary information, data and code for the manuscript: Bayer et al. 2023, "Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies"

Investigation and analysis of latent knowledge in scientific biomedical papers about Acute Myeloid Leukemia (AML) using unsupervised word embeddings.

A free information application for Magic Leap 1 providing basic information in Mixed Reality about Leukemia, Haemopoiesis, Acute Myeloid & Lymphoblastic Leukemia

R Shiny app encapsulating FilLT3r tool : https://doi.org/10.1186/s12859-022-04983-6

A public repo of open Acute Myeloid Leukemia research papers discovered during project R&D

Acute Myeloid Leukemia Risk Group Prediction from Gene Expression Data with Feed-Forward Neural Networks

A collection of Jupyter notebooks for basic analysis of the data from the "BeatAML" study by Tyner et al. (2018)