Both SLEEP REVOLUTION and TIMESPAN rely on ML and deep learning applied to patient health data for diagnosis, risk stratification, and treatment monitoring.
EMPATICA SRL
Italian digital health SME applying AI and machine learning to sleep diagnostics and chronic disease management in EU research consortia.
Their core work
Empatica is a Milan-based digital health SME specializing in AI-driven diagnostics and personalized disease management. Their H2020 work spans two distinct clinical areas: automated sleep disorder diagnostics using deep learning, and long-term management of ADHD patients with cardiometabolic comorbidities via mHealth tools and pharmaco-epidemiological methods. They bring machine learning and clinical data science capabilities into large research consortia, translating complex patient data into actionable diagnostic and therapeutic insights. Their commercial positioning is in the intersection of wearable/digital diagnostics and population-level health analytics.
What they specialise in
SLEEP REVOLUTION (2021-2025) focuses specifically on AI-powered diagnostics for obstructive sleep apnea and sleep disordered breathing.
TIMESPAN (2021-2026) uses mHealth tools to manage treatment discontinuity and cardiometabolic risk in adult ADHD patients.
TIMESPAN introduces national register data, pharmaco-epidemiological analysis, and genomic approaches to understanding treatment safety and effectiveness.
Both projects aim at individualized care pathways — personalized sleep therapy in SLEEP REVOLUTION and risk-stratified ADHD management in TIMESPAN.
How they've shifted over time
Both projects launched in 2021, so this is less a temporal evolution and more a parallel expansion into two complementary clinical territories. Their first project (SLEEP REVOLUTION) centres on device-driven, AI-powered physiological diagnostics for sleep disorders — a product-oriented technical niche. Their second project (TIMESPAN) moves toward population health, leveraging national registers, pharmaco-genomics, and epidemiological methods to study chronic disease trajectories in ADHD. The shift signals a broadening from sensor-level diagnostics toward system-level, data-rich clinical research.
Empatica is expanding from device-centric sleep diagnostics into broader population health analytics and pharmaco-epidemiology, suggesting growing ambition in real-world evidence and chronic disease monitoring beyond a single clinical indication.
How they like to work
Empatica joins consortia exclusively as a participant — they have not led any H2020 project. Despite this, they are embedded in notably large networks: 54 unique partners across 24 countries from just 2 projects, which points to membership in major European research consortia rather than niche bilateral collaborations. This profile suggests they contribute a well-defined technical capability (AI diagnostics, digital health tooling) that consortia actively recruit rather than a coordinating or administrative role.
Empatica has collaborated with 54 unique partners across 24 countries — an unusually broad network for an SME with only 2 projects, reflecting participation in large multi-partner RIA consortia. Their reach is pan-European with no discernible geographic concentration beyond their Italian base.
What sets them apart
Empatica is a rare SME that combines commercial digital health product expertise with rigorous clinical research methodology — a pairing that most academic partners lack and most large companies are too slow to deliver. Their dual capability in AI-driven diagnostics (sleep) and pharmaco-epidemiological population studies (ADHD/cardiometabolic) makes them a flexible fit for health consortia needing both a technical tool developer and a data science contributor. For consortium builders, they offer the credibility of an active H2020 participant with a broad European network and a clear track record in two distinct but complementary clinical domains.
Highlights from their portfolio
- TIMESPANLargest funding received (€300,000) and broadest scope, combining ADHD, cardiometabolic disease, pharmaco-genomics, and national register data in a single mHealth-driven intervention running until 2026.
- SLEEP REVOLUTIONTargets one of Europe's most under-diagnosed conditions (obstructive sleep apnea) using deep learning and digital diagnostics, with clear commercial applications for wearable health device makers.