Novoic's audio feature extraction library

A Folding@Home Docker container with GPU support

Implementation of a 3D Convolutional Neutral Network in Keras on an Alzheimers Disease MRI Scan Dataset

Repo for Tang et al, bioRxiv 454793 (2018)

The purpose of this paper is to detect Alzheimer’s Disease using Deep Learning and Machine Learning algorithms on the early basis which is being further optimized using CSA(Crow Search Algorithm). Alzheimer’s is one of kind and fatal. The early detection of Alzheimer’s Disease because of it’s progressive risk and patients all around the world. Early detection of AD is promising as it can help lot of patients to predetermine the condition they may face in future. AD being progressive, can be prevented if detected early. On worse stage, the curing of this disease is very difficult and expensive. So, by analyzing the consequences of AD, we can make use of Artificial intelligence technology by using MRI scanned images to classify the patients if they may or may not have AD in future. Using of Bio-inspired algorithm can maximize the result and accuracy for this purpose. After comparing the results of the various AI technologies, CSA came to be the best approach, using it with ML algorithms.

Novoic's linguistic feature extraction library

E6893 Final Project for ja3130, mn2769, and hz2441 (Project ID: 201712-18)

Term project for CMPT 275: Software Engineering I

Classification of Alzheimer disease using different machine learning models.

An attempt to diagnose Alzheimer's disease earlier

Epigenome-wide analysis of DNA methylation from Alzheimer's patients and unaffected controls

Alzheimer's Disease Neuroimaging Initiative: Untargeted Lipidomics Analysis

For more information, refer to https://www.frontiersin.org/articles/10.3389/fnins.2019.00509/full

Deep spectral-based shape features for Alzheimer’s Disease classification

Ranking methodology of potential Driver genes using multi-view feature sets

Process ADNI study data with adnipy.

dementiaHack Toronto 2017

Aplicativo Android Cognic

Collaborative Filtering for Alzheimer's Disease

Various code from my master's project

A model for approximating concentrations of beta amyloid aggregates over time.

pytorch study for Alzheimer disease.

Project includes Mini-Mental State Examination test and clock-drawing test which are applied for seeking symptoms of dementia and its kind.

Memory Crack is an Android App helping people with Dementia crack open memories. #AndroidDevChallenge

Feature extraction of Open Access Series of Imaging Studies (OASIS) using Keras applications.

AngeLzheimer2 | Projeto Android | Tiago Rodrigues & Sofia Dias

Pestilli Lab Homepage

OG 2019 - Project 06: Machine learning for dementia clinical forecasting

Dean, Dexter N., et al. "Strain-specific Fibril Propagation by an Aβ Dodecamer." Scientific reports 7 (2017): 40787.