malaria
There are 118 repositories under malaria topic.
venugopalkadamba/Multi_Disease_Predictor
A Machine Learning and Deep Learning based webapp used to predict multiple diseases.
EMOD-Hub/EMOD
Source files for building the IDM EMOD disease transmission model.
HakinCodes/Malaria-Detection
Detecting Malaria using Deep Learning 🦟🦠
RiturajSaha/Health-Discernment-System
A menu based multiple chronic disease detection system which will detect if a person is suffering from a severe disease by taking an essential input image.
malaria-atlas-project/malariaAtlas
An R interface to open-access malaria data, hosted by the Malaria Atlas Project.
systers/malaria-app-android
A mobile app that will aid the Volunteer in sustaining life-saving malaria prevention tactics over their 2+ years of service.
krishnakatyal/Malaria-Detection
Malaria Detection using Deep Learning
mattravenhall/SV-Pop
Upscaling SV detection to a multi-population level.
DEploid-dev/DEploid
dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
alimanfoo/alimanfoo.github.io
Alistair Miles' blog
theaiscope/GDD-app
Global Disease Database – Android app to gather images for disease detection
onaio/reveal-frontend
WebUI for the Reveal epidemiological surveillance platform
EPPIcenter/moire
MOI and Allele Frequency Recovery from Noisy Polyallelic Genetics Data
fongwama/EduPalu_V2
Application d’éducation sur le paludisme et d’accès aux services de santé au Congo. / Application of education on malaria and access to health services in Congo.
Benhabiles-projects/MalariaNet
A generalized deep learning-based framework for assistance to the human malaria diagnosis from microscopic images
igemsoftware2020/IISER-Pune-India
Design and development of Peptide drugs against falciparum Malaria and a Deep learning Web App for Malaria Diagnosis
madhava20217/Malaria-Detection-from-Cells
Exploring image colour space transformations and augmentation for creating a classifier to characterise parasitized and uninfected RBCs. Proposes a CNN model that uses the Saturation of the HSV colour model to create a high quality classifier resulting in accuracies of 99.3% and above.
rjzupkoii/PSU-CIDD-Malaria-Simulation
Spatial individual-based model of malaria with a focus on drug resistance evolution.
Gokul-001/Detection-Of-Malarial-Infected-Cells-Using-CNN
Malaria is a serious global health problem that affects millions of people each year. One of the challenges in diagnosing malaria is identifying infected cells from microscopic images of blood smears. Convolutional Neural Networks (CNNs) are a type of deep learning algorithm that have been used for image classification tasks etc
reds-heig/movable
MicrOscopic VisuAlization of BLood cElls for the Detection of Malaria and CD4+
systers/malaria-app-ios
A mobile app that will aid the Volunteer in sustaining life-saving malaria prevention tactics over their 2+ years of service.
GSaiDheeraj/End-to-End-Diseases-Detection
Multiple Disease Diagnosis System using Medical Images
InstituteforDiseaseModeling/docs-emod-scenarios
Tutorial materials as referenced in IDM's documentation for EMOD, an agent-based disease dynamics model.
mayur7garg/MalariaCellImageClassification
Binary Classification of images of cells which are either uninfected or parasitized by malaria.
scivision/cytometry-ratios
Open source static cytometry, initially targeting P. falciparum malaria
sepmein/malaria-one
The source code of malaria.one website.
sepmein/snt
Analysis code for malaria
theosanderson/malaria_phenotype_papers
Using a GPT3-based classifier to identify malaria papers reporting phenotypes
Ahmedtambal/Malaria-Detection-using-CNN-Graduation-project
Implementation of a deep learning model for leukemia classification and malaria detection using CNNs. The model utilizes transfer learning with VGG19 and InceptionV3 architectures, trained on custom datasets. The code includes data preprocessing, model training, evaluation, and visualization of performance metrics. Achieved high accuracy
colbyford/vivax_transcriptome_comparisons
Companion repository for: "Comparative transcriptomics reveal differential gene expression among Plasmodium vivax geographical isolates and implications on erythrocyte invasion mechanisms" by Kepple, et al.
kevin-wamae/PlasmoSeq-DualTech
A pipeline for variant calling from P. falciparum short reads generated from Illumina and ONT libraries
rjzupkoii/WHO-Malaria-pfhrp23
This repository contains the source and data for the HRP2/3 Deletion Risk Explorer, deletion risk analysis files, and additional data in support of forthcoming preprint.
Sempaku/NeuralVision
Neural network that recognizes malaria in blood cells by image
yusufokunlola/TeamFlask_notebook
Team Flask Capstone Project - Hamoye Winter '23 Cohort