AI solutions for Life Science & Healthcare
Artificial Intelligence solutions to analyse data, images, inpatient pathways and optimise therapies
Medical image Processing & Analysis
We use state-of-the-art technology to offer a highly customisable medical image analysis suite to meet the different needs of our customers.
Our solution, already in use in several research centres, allows us to perform Image Enhancement, i.e. improving image quality by reducing the noise produced by the instrumentation, 3D Reconstruction by combining images collected in layers in order to obtain a 3D model of the phenomenon observed, Marker Measurement, carried out in the field of diagnostics, which allows us to visualise the incidence of certain factors typical of the phenomenon under analysis, and Classification & Object Detection, i.e. the possibility of training deep-learning algorithms to recognise particular pathologies or elements of interest within the images under analysis.
Analizziamo immagini provenienti da diversi dispositivi: Microscopia confocale e Raman, Scansioni di Optical Coherence Tomography (OCT), Risonanza magnetica (MRI) per malattie neurologiche e cardiache, Ecografie (CT), Radiografie Ultrasuoni.
Our solution allows the customer to constantly monitor the situation via a web-based dashboard with different levels of access and receive alerts via e-mail on any anomalies found.
Data-driven analysis of inpatient pathways
Using a data-driven approach, we are able to derive analyses of hospital pathways from hospital data and identify problems and causes of overlong stays or the possible need for a second admission.
In particular, it is possible to generate a benchmarking that can promptly highlight anomalies relating to prolonged or extremely short stays, patterns leading to a second admission, the identification of causes and circumstances with a high probability of escalation to emergency situations, and Lifestyle Coaching, i.e. the identification of patient behaviours and habits that can slow down or speed up the stay (diet, physical activities, stress management, etc.).
Evaluation of efficiency factors and anomalies in delivered therapies
Our solution makes it possible to bring together in a single data-lake data from different sources (medical records, drugs used, medical staff involved) in order to apply advanced analysis using artificial intelligence techniques.
This data-driven pathway produces workflow efficiency and in particular allows the identification of patients who have been offered abnormal treatment in terms of resources used, the optimisation of daily activities, resources and materials used and allows Enterprise Next Best Action, i.e. the development of an algorithm capable of providing a success ranking with respect to future scenarios, thus supporting management in the decision-making process.
Unlike traditional data warehouse solutions, the data-lake is designed to be privacy-by-design, highly scalable and configurable, able to answer complex questions, strongly predisposed to the use of A.I. for Predicting healthcare costs, Evidence-based care, Personalised Medicine.