Multidisciplinary Institute in Artificial intelligence

Prof. Jean-Louis Pépin
Professor of clinical physiology at Université Grenoble Alpes, Director of HP2 Laboratory (INSERM unit 1300)
JPepin@chu-grenoble.fr
Website
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DESCRIPTION

Rationale and Context

The Sleep Health-AI international research chair aims to transform sleep medicine by harnessing artificial intelligence (AI) and real-world data analytics to make sleep health assessment and care more accessible, accurate, and effective. Sleep, together with diet and physical activity, is a fundamental determinant of human health. Yet, billions of individuals worldwide experience unrecognized or insufficiently treated sleep disorders such as insomnia and obstructive sleep apnea (OSA), which contribute to significant cardiometabolic, cognitive, and societal burdens. Addressing this challenge requires reimagined diagnostic strategies and innovative care pathways supported by digital technologies.

Sleep Health-AI brings together a global network of leading clinicians, engineers, and data scientists to develop AI-based methods that integrate large-scale clinical, physiological, and behavioral datasets. Anchored at Université Grenoble Alpes (UGA) and supported by international academic and industrial partners, the chair leverages electronic health records, claims data, wearable sensor outputs, and patient-reported outcomes to accelerate progress in precision sleep medicine.

The project’s activities are organized around three complementary objectives:

- Mapping and harmonizing multidimensional datasets across the international consortium;
- Simplifying diagnostic pathways through innovative connected sensors and automated AI-driven analysis;
- Producing real-world evidence to evaluate treatment effectiveness and inform health system transformation.

Its multidisciplinary approach combining clinical physiology, signal processing, data science, and biostatistics ensures that AI developments remain physiologically grounded and clinically interpretable. A strong emphasis on transparency, reproducibility, and open access promotes trust in the generated algorithms and their adoption by healthcare professionals.
Through its academic–industrial partnerships, Sleep Health-AI aims to establish a sustainable model for responsible digital innovation in sleep healthcare. By integrating AI into the prevention, diagnosis, and management of sleep disorders, the chair aspires to make sleep health a cornerstone of predictive, preventive, and personalized medicine worldwide.

ACTIVITIES

• Forfait Innovation “Sunrise” project (J.L. Pépin, PI): national reimbursement initiative for an AI-based mandibular sensor enabling home diagnosis of sleep apnea; 880 patients included across 18 French centers; FDA cleared (USA 2023) and NICE-recommended (UK 2024).
• H2020 Sleep Revolution project: development of deep learning models for sleep quality metrics using wearable sensors and cloud platforms.
• ALASKA, MONTANA and COVISAS national health data projects (SNDS): real-world evidence on CPAP effectiveness and COVID-19 risk in 17 million individuals.
• Project Electrum (US claims data): demonstrated health and cost benefits of CPAP adherence in comorbid sleep apnea patients.
• The team also pioneers variability-in-health analytics exploring night-to-night variability in sleep apnea severity as a novel predictive marker.
  
  Recruitments include postdoctoral fellows, engineers in different fields related to sleep health-AI:
   

      

EVENTS
 

• Participation in European Sleep Research Society and World Sleep Congress (2025).
• Organization of symposia on Real-world evidence and digital sleep medicine at ERS/ESRS meetings
• Role of artificial intelligence (AI) in the Future of Sleep Medicine :

• The use of new technologies and limited channel devices beneficial in the diagnosis of suspected sleep apnea as datasets :

 

• How to characterize and address variability of OSA in various datasets : 

 

• Sleep Revolution meeting (H2020) and symposiums in different congresses : 

 

• International conferences related to sleep : 

 

CHAIR PRESENTATION

SELECTED LIST OF PUBLICATIONS

• Duval J, Mouroux C, Foury S, Pépin JL, Bailly S. Patient motivation ranked by caregivers at continuous positive airway pressure initiation is predictive of adherence and 1-year therapy termination rate. Sleep Breath. 2023. doi:10.1007/s11325-023-02965-3
• Pépin JL, Tamisier R, Baillieul S, Ben Messaoud R, Foote A, Bailly S, et al. Creating an Optimal Approach for Diagnosing Sleep Apnea. Sleep Med Clin. 2023;18:301–9. doi:10.1016/j.jsmc.2023.05.004
• Mendelson M, Duval J, Bettega F, Tamisier R, Baillieul S, Bailly S, Pépin JL. The individual and societal prices of non-adherence to continuous positive airway pressure, contributors, and strategies for improvement. Expert Rev Respir Med. 2023;17:305–17. doi:10.1080/17476348.2023.2202853
• Pépin JL, Lemeille P, Denis H, Josseran A, Lavergne F, Panes A, et al. Health trajectories before initiation of non-invasive ventilation for chronic obstructive pulmonary disease: a French nationwide database analysis. Lancet Reg Health Eur. 2023;34:100717. doi:10.1016/j.lanepe.2023.100717
• Arzt M, Munt O, Pépin JL, Heinzer R, Kubeck R, von Hehn U, et al. Registry on the Treatment of Central and Complex Sleep-Disordered Breathing with Adaptive Servo-Ventilation (READ-ASV): protocol and cohort profile. ERJ Open Res. 2023;9:00618–2022. doi:10.1183/23120541.00618-2022
• Gentina T, Gentina E, Douay B, Micoulaud-Franchi JA, Pépin JL, Bailly S. Investigating associations between social determinants, self-efficacy measurement of sleep apnea and CPAP adherence: the SEMSA study. Front Neurol. 2023;1148700. doi:10.3389/fneur.2023.1148700
• Galerneau LM, Bailly S, Terzi N, Ruckly S, Garrouste-Orgeas M, Cohen Y, et al. Management of Acute Exacerbations of Chronic Obstructive Pulmonary Disease in the ICU: An Observational Study From the OUTCOMEREA Database, 1997–2018. Crit Care Med. 2023;51:753–64. doi:10.1097/CCM.0000000000005807
• Bottaz-Bosson G, Midelet A, Mendelson M, Borel JC, Martinot JB, Le Hy R, et al. Remote monitoring of positive airway pressure data: Challenges, Pitfalls and Strategies to consider for optimal data science applications. Chest. 2023;163:P1279–1291. doi:10.1016/j.chest.2022.11.034
• Bocoum AM, Bailly S, Joyeux-Faure M, Baillieul S, Arbib F, Kang CL, et al. Long-term outcomes of CPAP-treated sleep apnea patients: Impact of blood-pressure responses after CPAP initiation and of treatment adherence. Sleep Med. 2023;109:25–31. doi:10.1016/j.sleep.2023.06.022
• Malhotra A, Cole K, Malik A, Pépin JL, Sert Kuniyoshi F, Cistulli P, et al. Positive Airway Pressure Adherence and Health Care Resource Utilization in Patients With Obstructive Sleep Apnea and Heart Failure With Reduced Ejection Fraction. J Am Heart Assoc. 2023;12. doi:10.1161/JAHA.122.028732
• Turnbull C, Bailly S. For One Night Only—Are Single-Night Studies Sufficient to Predict Risk of Hypertension in OSA? Chest. 2023;164:15–7. doi:10.1016/j.chest.2023.03.036
• Martinot JB, Le-Dong NN, Malhotra A, Pépin JL. Respiratory effort during sleep and prevalent hypertension in obstructive sleep apnoea. Eur Respir J. 2023.
• Martinot JB, Le-Dong N, Borel A, Tamisier R, Malhotra A, Pépin J. Respiratory effort during sleep and the rate of prevalent type 2 diabetes in obstructive sleep apnoea. Diabetes Obes Metab. 2023;25:2815–23. doi:10.1111/dom.15169
• Martinot JB, Le-Dong NN, Tamisier R, Bailly S, Pépin JL. Determinants of apnea-hypopnea index variability during home sleep testing. Sleep Med. 2023;111:86–93. doi:10.1016/j.sleep.2023.09.002
• Zou D, Grote L, Basoglu O, Verbraecken J, Schiza S, Sliwinski P, et al. Arterial bicarbonate is associated with hypoxic burden and uncontrolled hypertension in obstructive sleep apnea - The ESADA cohort. Sleep Med. 2023;102:39–45. doi:10.1016/j.sleep.2022.11.041
• Laharnar N, Bailly S, Basoglu O, Buskova J, Drummond M, Fanfulla F, et al. Bed partner perception of CPAP therapy on relationship satisfaction and intimacy—A European perspective from the ESADA network. J Sleep Res. 2023;e14125. doi:10.1111/jsr.14125
  
  2024
   
• Bailly S, Foote A, Mendelson M, Rakotovao A, Borel JC, Pépin JL, Tamisier R, Revil H. Sociological determinants of adherence to continuous positive airway pressure in the management of sleep apnoea syndrome: protocol for a transdisciplinary, prospective observational study. BMJ Open. 2024. doi:10.1136/bmjopen-2023-079765
• Pires GN, Arnardottir E, Bailly S, McNicholas W. Guidelines for the development, performance evaluation and validation of new sleep technologies (DEVSleepTech guidelines) – a protocol for a Delphi consensus study. J Sleep Res. 2024. doi:10.1111/jsr.14163
• Coelho J, Bailly S, Baillieul S, Sagaspe P, McNicholas W, Taillard J, et al. Predictors of driving risk in patients with obstructive sleep apnea syndrome treated by continuous positive airway pressure: a French multicenter prospective cohort. Sleep. 2024. doi:10.1093/sleep/zsae211
• Bailly S, Mendelson M, Baillieul S, Tamisier R, Pépin JL. The Future of Telemedicine for Obstructive Sleep Apnea Treatment: A Narrative Review. J Clin Med. 2024;13:2700. doi:10.3390/jcm13092700
• Sabil A, Borel JC, Texereau J, Bailly S, Pépin JL. Continuous positive airway pressure treatment for obstructive sleep apnea, hospitalizations, and related costs in the French National Healthcare Insurance database. Respir Med Res. 2024;86:101098. doi:10.1016/j.resmer.2024.101098
• Pépin JL, Cistulli P, Crespeigne E, Tamisier R, Bailly S, Bruwier A, et al. Mandibular Jaw Movement Automated Analysis for Oral Appliance Monitoring in Obstructive Sleep Apnea: A Prospective Cohort Study. Ann Am Thorac Soc. 2024;21:814–22. doi:10.1513/AnnalsATS.202312-1077OC
• Ben Messaoud R, Baillieul S, Tamisier R, Terrail R, Bailly S, Joyeux-Faure M, Pépin JL. Digital sleep clinic: assessing efficacy of continuous positive airway pressure through sleep staging via connected devices: a study protocol. BMC Digit Health. 2024;2:23. doi:10.1186/s44247-024-00077-w
• Briançon-Marjollet A, Joyeux-Faure M, Ben Messaoud R, Bailly S, Ngo V, Colombet S, et al. Long-term incident severe outcomes in a prospective cohort of non-obese obstructive sleep apnoea patients free of comorbidities at inclusion. ERJ Open Res. 2024;10:00930–2023.
• Lefouili M, Arnol N, Journet S, Chaudron P, Adler D, Janssens JP, Pépin JL, Bailly S, Borel JC. Factors Associated With Change in S3-NIV Score Over Time in People With Chronic Respiratory Failure Treated With Long-Term Home Noninvasive Ventilation. Arch Bronconeumol. 2024;463–9.
• Gaucher J, Montellier E, Vial G, Chuffart F, Guellerin M, Bouyon S, et al. Long-term intermittent hypoxia in mice induces inflammatory pathways implicated in sleep apnea and steatohepatitis in humans. iScience. 2024;27:108837. doi:10.1016/j.isci.2024.108837
• Ebrahimian S, Sillanmaki S, Hietakoste S, Kulkas A, Toyras J, Bailon R, et al. Beat-to-beat cardiac repolarization lability increases during hypoxemia and arousals in obstructive sleep apnea patients. Heart Circ Physiol. 2024. doi:10.1152/ajpheart.00760.2023
• Texereau J, Bailly S, Borel JC, Sabil A, Pépin JL. National Implementation of CPAP Telemonitoring and a Pay-for-performance Scheme for Homecare Providers in France Leads to Prioritisation of Resources to Individuals with Low Therapy Adherence: The IMPACT-PAP Cohort Study. Arch Bronconeumol. 2024;Online ahead of print.
• Pataka A, Pépin JL, Bonsignore MR, Schiza S, Saaresranta T, Bouloukaki I, et al. Sleep apnoea phenotypes in women: A cluster analysis from the ESADA cohort. Sleep Med. 2024;124:494–501. doi:10.1016/j.sleep.2024.10.015
• Seguin L, Mendelson M, Doutreleau S, Clin R, Destors M, Albaladejo P, et al. Temporal link between cardiac arrhythmias and postoperative episodes of hypoxemia during nocturnal sleep in patients with obstructive sleep apnea syndrome. Sleep Med. 2024;124:260–7.
• El Bayan A, Fournier J, Minoves M, Baillieul S, Roche F, Pereck N, et al. Cerebral oxidative stress, inflammation and apoptosis induced by intermittent hypoxia: a systematic review and meta-analysis of rodent data. Eur Respir Rev. 2024;33:240162.
• Tondo P, Scioscia G, Bailly S, Sabato R, Campanino T, Soccio P, et al. Exploring phenotypes to improve long-term mortality risk stratification in obstructive sleep apnea through a machine learning approach: an observational cohort study. Eur J Intern Med. 2024.
  
  2025
   
• Tondo P, Scioscia G, Bailly S, Sabato R, Campanino T, Soccio P, Foschino Barbaro MP, Gallo C, Pépin JL, Lacedonia D. Exploring phenotypes to improve long-term mortality risk stratification in obstructive sleep apnea through a machine learning approach: and observational cohort study. Eur J Intern Med. 2025;133:64–70. doi:10.1016/j.ejim.2024.12.015
• Pépin JL, Herquelot E, Denis H, Josseran A, Lavergne F, Benjafield A, et al. Impact of long-term non-invasive ventilation on severe exacerbations and survival in COPD: a French nationwide cohort study using multistate models. Thorax. 2025;80:616–23. doi:10.1136/thorax-2024-222392
• Benjafield AV, Sert Kuniyoshi F, Malhotra A, Martin JL, Morin CM, Maurer LF, et al. Estimation of the global prevalence and burden of insomnia: a systematic literature review-based analysis. Sleep Med Rev. 2025;82:102121. doi:10.1016/j.smrv.2025.102121
• Lechat B, Manners J, Pinilla L, Reynolds AC, Scott H, Vena D, et al. Global warming may increase the burden of obstructive sleep apnea. Nat Commun. 2025;16:5100. doi:10.1038/s41467-025-60218-1
• Boers E, Barrett MA, Benjafield AV, Barnet JH, Ravelo LA, Kaye L, et al. Projecting the 30-year burden of obstructive sleep apnoea in the USA: a prospective modelling study. Lancet Respir Med. 2025;in press. doi:10.1016/S2213-2600(25)00243-7
• Martinot JB, Le-Dong NN, Cassibba J, Clause D, Pépin JL, Gozal D. Interpreting the mandibular jaw movement signal in pediatric obstructive sleep apnea diagnosis: A technical and practical review. Sleep Med Rev. 2025;in press. doi: 10.1016/j.smrv.2025.102159
• Cole KV, Malick AS, Cistulli PA, Sterling KL, Malhotra A, Alpert N, Pépin JL, on behalf of the medXcloud group. Positive Airway Pressure (PAP) Therapy Use and Healthcare Resource Utilization in Patients with Obstructive Sleep Apnea and Comorbid Insomnia (COMISA). Chest. 2025;in press. doi:10.1016/j.chest.2025.08.044
• Figard C, Ben Messaoud R, Baillieul S, Joyeux-Faure M, Destors M, Tamisier R, Khouri C, Pépin JL. Effect of sleep apnoea interventions on multiple health outcomes: an umbrella review of meta-analyses of randomised controlled trials. eClinicalMedicine. 2025;89:103529. doi:10.1016/j.eclinm.2025.103529
• Tankere P, Razakamanantsoa L, Khouri C, Patout M, Stauffer E, Baillieul S, et al. Impact of positive airway pressure for chronic hypercapnic respiratory failure on sleep quality: a systematic review and meta-analysis. Eur Respir Rev. 2025;34:250090. doi:10.1183/16000617.0090-2025
• Coiffier O, Jandric I, Causse C, Pépin JL, Mendelson M, Bailly S. An overview of longitudinal data analyses in sleep research. Sleep Med. 2025;accepted. doi:10.1016/j.sleep.2025.106871
• Borel AL, Van Ngo TH, Coumes S, Pépin JL, Abba J, Tamisier R, Tonetti G, Suzeau P, Reche F, Bailly S. Cluster analysis in subjects living with obesity and association with bariatric surgery outcomes: The severe obesity outcome network cohort. Clin Nutr. 2025;54:210–9. doi:10.1016/j.clnu.2025.09.022