acute-myeloid-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.

Deep learning for distinguishing morphological features of Acute Promyelocytic Leukemia

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

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

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

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"

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

Code used for computational detection of MRD in AML using flow cytometry data.

Pre-registered in-silico differentiation therapy pipeline for AML. Maps patient cells onto a normal myeloid landscape, ranks 1,700 compounds by LINCS reversion scores, and tests per-patient drug ranking on a locked Beat AML test set (Spearman 0.20, ~30% of ceiling). Includes a 3D Waddington landscape web app.

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

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

RetinaNet-based AML and immune cell detection from multi-channel microscopy images.

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

An AML-focused research portfolio exploring molecular biology, bioinformatics, biostatistics, and computational drug discovery through reproducible scientific workflows.

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

End-to-end TCGA-LAML multi-omics analysis integrating molecular profiling, machine learning, biomarker discovery, and survival analysis for precision medicine.

this repository includes scRNA_seq analysis scripts of the data presented in https://www.sciencedirect.com/science/article/pii/S2473952923005608

Ensemble NeuralODE gene regulatory networks for primary AML — training, ChIP validation and influence pipelines (manuscript in preparation)

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

DataSet Tracker is a software suite for real-time image analysis designed to run on personal computers, smartphones, and smart glasses hardware and suitable for resource-constrained computing