Services for data analytics

PRECIOUS supports:

PRECIOUS provides services for advanced analysis and processing of big medical data for precision medicine developments. More specifically
o Causality analysis for the comprehensive identification of correlations between various phenotypes through the development of interaction networks
o Federated learning using advanced artificial intelligence algorithms which are incrementally trained on data stored in private cloud databases to yield trustworthy AI models for diagnosis and disease prediction.
o Extraction of explainable risk factors through the application of feature extraction methods to quantify the significance of pre-defined risk factors for solving complex classification problems.

o Dietary assessment of vulnerable patients by training advanced deep learning models for the automatic detection of the food quantity.
o Automated segmentation of regions of interest in medical images through the training of hybrid deep neural networks for the detection of malignancies
o Human activity recognition through the training of both machine learning algorithms and deep learning algorithms on time series data from motion sensors and video recordings from cameras
o Prediction of diseases through the training of interpretable artificial intelligence algorithms across multiple time points to solve demanding risk stratification problems
o Trajectory analysis of longitudinal data to cluster patients with similar clinical profiles and extract time-dependent risk factor associations.
o Generation of synthetic data/virtual populations through the training of advanced algorithms (virtual data generators) which can “mimic” the real patient data.