Personal research paper about ketogenic diet

This program allows the user to reproduce the results explained in [Joubert et al., 2021] and [Gardy et al., 2021]. User can use the same process and code to produce new meta-analysis on other data.

Desarrollo de 3 aplicaciones móvil para la asignatura de programación de dispositivos móviles.

Alzheimer & MCI DeepLearning (CNN) based Diagnosis Model

API de la app multiplataforma Mental Gym, para entretener y paliar los efectos de la vejez, el deterioro cognitivo y el Alzheimer. Esta API, desplegada en Heroku usando Docker, suministra los json con los datos de los juegos necesarios para el funcionamiento de la app. @CristiDatas

Was used for big data project back in the day for Harvard.edu. Trying to find clustered protein interactions using pdb database and sparse matrices for Alzheimer identification

Documentation website for standardized imaging biomarkers generated by the Canadian Consortium in Neurodegeneration in Aging

Progetto per il corso EMAD in collaborazione con IBM. TEAM: Sergio del Sorbo, Emanuele Fittipaldi, Alessandra Parziale, Paolo Plomitallo

Visualize the prevalence of various diseases such as the cancer, Alzheimer, Parkinson and diabetes in Europe

Amazon Alexa Plugin zur Unterstützung von Patienten mit Demenz bei der Einhaltung von Terminen und der Berechnung von Routen.

Code accompanying the master thesis: Learning on Cortical Meshes with Surface Vision Transformers (SiT)

IPECAD open-source model

This data visualization showed "dementia" and "Alzheimer" mentions in NY Times articles and compared them to data from other sources.

Open data analysis platform for Alzheimer's disease. Created for CS50 at Harvard College.

딥러닝 기법을 이용하여 알츠하이머의 아밀로이드 PET 이미지를 분류하는 자료입니다.

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…

Machine Learning for the Visualization of Alzheimer's Disease

A project that uses convolutional networks to classify the severity of Alzheimer's disease on the basis of images taken magnetic resonance imaging. The program was written in python using the keras and tensorflow packages.