Aplicativo Android Cognic

Detect Alzheimer's Disease based on tabular text dataset

Set of scripts used for the paper "A Neurodegenerative Disease Landscape of Rare Mutations in Colombia Due to Founder Effects"

Locating Missing Alzheimer’s Patients Using Face Verification

A novel insight into neurological disorders through HDAC6 protein-protein interactions

The speech pauses duration corpus and scripts that ensure reproducibility of all results presented in the research paper. P. Pastoriza, I.G. Torre, F. Dieguez, I. Gomez, S. Gelado, J. Bello, A. Avila, J. Matias, V. Pytell, A. Hernandez-Fernandez (2022). Speech pause distribution as an early marker for Alzheimer’s disease. Speech Communication. 1…

pytorch study for Alzheimer disease.

Role of myelin thickness and the effect of increased signal delays on cognitive deterioration.

Wearable AI Facial Recognition Assistive Device For Dementia and Alzheimer's Patients - 2023 ISEF Project

Comparison of various deep learning-based medical imaging methods for diagnosing and classifying Alzheimer’s disease at different stages.

Enhancing drug discovery w/ machine learning. R code

My thesis where I try to predict whether a MCI patient will convert to Alzheimers using a BAE (brain age estimator) and PET scans exclusively for brain imaging

Alzheimer's Disease Classification Using Volume Correlations and Multi-Atlas Spatio-Contextual Graph Isomorphism Networks

Multimodal deep learning in neuroimaging

Documentation of my end of degree project: All For One

A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.

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

Metabolomics Data Science MSc project looking at significant metabolites found in Alzheimer's Disease (AD) patients in comparison to patients with mild cognative imparement (MCI) and cognative normal (CN) controls.