tuberculosis

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.

Detecting tuberculosis from X-ray scan using pytorch

vSNP -- validate SNPs

PhD thesis submitted to the University of Bristol. Title: Modelling BCG vaccination in the UK: What is the impact of changing policy?

Training AdaBoost Classifier of 500 estimators to classify HOG&LBP features of TB &NTB (Tuberculosis) chest X-ray images

10th place solution to the ImageCLEF Tuberculosis 2019 - Severity Scoring.

Collecting Genotypes from ENA and make their SNPs

A workflow for analysis and resistance profiling of Mycobacterium tuberculosis nanopore data with Mykrobe

MEDINFORM - AI Powered Multipurpose Web platform for Medical Image Analysis

Estimating the effect of the 2005 change in BCG policy in England: A retrospective cohort study

AiAi code-charity project for Cancer and Tuberculosis screening in Radiology Chest X-Rays (PA - CXR) using Deep Learning powered CAD algorithms. Come join our all-volunteer team to improve the healthcare in emerging nations!

A tool to import SnpEff annotated files to a Neo4j Graph database

Pipeline for analysing M. tuberculosis nanopore reads and getting drug susceptibility information.

📺 Latent tuberculosis screening cost-effectiveness analysis

The SNP and gene datasets of M. Tuberculosis for drug resistance prediction.

🐳 combatTB Neo4j Database

Examine treatment outcomes, and predict the incidence of Tuberculosis

Generate an interactive HTML-based report from M.tb SnpEff annotated VCF(s)

A tool to aggregate and load TB data to Neo4j

🔍 💊 Detection of low-frequency SNPs in next-generation sequencing data of Mycobacterium tuberculosis complex strains

Analysis to explore the association of BCG vaccination and TB outcomes.

Cleans and Munges Tuberculosis and Demographic Data for England

A CNN model that can classify X-Ray images as a Tuberculosis case or a Normal case.

introducing tools for deep learning in medicine

Applying machine learning models to detect tuberculosis during screening process.

Research compendium for Spatial analysis of TB notifications in Blantyre, Malawi