.NET DSP library with a lot of audio processing functions

Tools for extracting the raw optical coherence tomography (OCT) and fundus data from proprietary file formats.

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, charita…

Open drug data pipelines curated by pharmacists.

A python package for removing duplicate text in clinical notes or other documents

Release COVID-19 (SARS-CoV-2) FDA / NHI drugs screening results.

Retinal image analysis in MATLAB

I'm collecting information regarding CDISC

Home for the unified VICTRE pipeline for in silico breast imaging.

A Plotly Dash application to interact with the API endpoints of openFDA

🗿 Pharma and healthcare competitive intelligence through product website FDA OPDP update frequency.

Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.

Premium quality hifi audio amplifier with an FDA (Full Digital Amplifier) Texas Instruments TAS3251

Archived repo - This R Package is not developed anymore (only maintenance). It was replaced by R package rchemo

OpenSource FAERS Database Cleansing, Merging and Analysis using postgresql

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!

An R package for functional data classification using nearest neighbor and kernel estimation.

"Advanced Machine Learning" project @ Politecnico di Torino, a.y. 2021/2022.

Eigenfaces and Fisherfaces for Face Recognition. With implementation of algorithms as PCA, KNN, Fisher Discriminant Analysis.

Performed different tasks such as data preprocessing, cleaning, classification, and feature extraction/reduction on wine dataset.