AI-Driven Sleep Apnea Detection Study Initiated by Sleep Cycle, Aiming to Tap into the Multibillion-Dollar Market
Revamping the Horizon of Sleep Health: Sleep Cycle's Breakthrough Clinical Study
Sleep Cycle, the trailblazing sleep tech company, has taken a colossal stride with the commencement of a clinical study aimed at validating its transformative smartphone-exclusive feature for identifying and monitoring obstructive sleep apnea (OSA). This groundbreaking move signifies the company's unyielding dedication to championing technology-driven health solutions that empower individuals to comprehend and manage their sleep, ushering in a revolution in sleep health.
"Slumber is the upcoming battleground of preventive health, and we're the troops leading the charge. Revolutionizing OSA screening purely through an iPhone, we're not merely shattering clinical barriers; we're unleashing a scalable opportunity to revamp lives and redefine the digital health sector. This isn't just an app upgrade; it's a titanic leap into a multi-billion-dollar terrain brimming with innovation," said Erik Jivmark, Sleep Cycle's fearless CEO.
Confronting a Global Health EpidemicObstructive sleep apnea is a silent peril that affects an astounding 950 million adults aged 30-69 worldwide, with approximately 80% of cases lurking undetected [1]. This hidden pandemic wreaks havoc on numerous health aspects, including cardiovascular disease, cognitive decline, and overall quality of life. The global home testing market for sleep apnea is poised to skyrocket from USD 712 million in 2025 to an astonishing USD 966 million by 2035, underscoring the urgent call for agile, cost-effective, and accessible solutions.*
Leveraging state-of-the-art smartphone technology and its sophisticated algorithms, Sleep Cycle's novel sleep apnea feature aspires to bridge the gap in detection visibility. Designed with an efficient interface and affordable pricing, the new tool is crafted to democratize sleep health, fostering early detection, particularly among populations which may lack access to specialized sleep clinics or expensive diagnostic gear.
Pioneering the Future of Sleep ScienceThe clinical study is shepherded by Dr. Mike Gradisar, Sleep Science's Head honcho, who serves as the study's Principal Investigator, and Dr. Mikael Kågebäck, Sleep Cycle's CTO and an AI wunderkind. Together, their accumulated expertise in behavioral sleep medicine and AI shores up Sleep Cycle's evidence-based approach to innovation.
"Our AI-powered audio examination is rooted in a sound model that has been masterfully trained to discern subtle sleep-related breathing patterns in real-world surroundings. Unlike conventional methods, our solution scrutinizes sound in a flexible and context-aware manner, thereby enabling the detection of potential OSA signs without utilizing intrusive wearables or sensors. This represents a watershed moment in accessible sleep diagnostics," expounded Dr. Kågebäck.
Ethical Conduct and Regulatory ComplianceThe clinical study has garnered ethical approval and will be conducted in accordance with established international clinical research standards. Sleep Cycle has also engaged in a pre-submission dialogue with the FDA, harmonizing the trial design, techniques, and anticipated outcomes.* These regulatory engagements bear testament to Sleep Cycle's steadfast commitment to compliance and transparency.
The study will commence on June 2 and will take place at Sleep Testing Australia's clinics in Brisbane and Adelaide. Comprising approximately 700 participants, the study aims to assess the precision of Sleep Cycle's new screening algorithm in spotting OSA.
"I'm electrified by the synergy of machine learning and deep data analysis in analyzing traditional PSG studies alongside Sleep Cycle's algorithm. It's exhilarating to witness this technology in sleep research, particularly given how data-rich traditional PSG is. We've barely scraped the surface of the insights it can unveil," remarked Mason Vozzo, Sleep Testing Australia's Diagnostic Services Manager.
Equipped with robust legal counsel and strong in-house AI muscle, Sleep Cycle is confident in the scientific rigor and technological fortitude of this OSA screening feature. This interdisciplinary dynamism fortifies the credibility of the study and the long-term potential of the technology.
For those keen to explore Sleep Cycle's approach to sleep apnea, please visit Sleep Cycle's Website.
References:[1] Effectiveness of positive airway pressure in patients with moderate-to-severe obstructive sleep apnea syndrome.[2] Sleep Cycle's Website[3] FDA's Device Advice: Home Sleep Testing
For further information, please contact:Elisabeth Hedman | CFO & Head I-Relations | +46 76 282 8958Erik Jivmark | CEO erik.jivmark@our websiteJonna Grenfeldt | PR & Communication press@our website | +46 70 735 7539
About Sleep CycleSleep Cycle passionately advocates for making sound slumber available to all. Our app empowers users to cultivate remarkable sleep habits, pinpoint potential sleep issues, and glean valuable insights into their sleep patterns. Leveraging patented sound technology and 3 billion analyzed sleep sessions under our belt, Sleep Cycle guarantees unparalleled precision and personalized counsel. As part of our strategic partnership program, Sleep Cycle forges company collaborations that encompass in-app promotions, adaptable SDK solutions, and an extensive data library, enabling businesses to expand their offerings with sleep-centric solutions and wisdom. Sleep Cycle trades on Nasdaq Stockholm under the ticker SLEEP, with its headquarters in Gothenburg, Sweden.*
The groundbreaking clinical study by Sleep Cycle, employing AI and smartphone technology, is a testament to the convergence of technology, health, and wellness, as it strives to democratize sleep health and combat undetected cases of obstructive sleep apnea (OSA). This project marks the intersection of science, medicine, and artificial intelligence, seeking to revolutionize the way sleep diagnoses are made, thereby redefining the landscape of sleep research.
Artificial Intelligence (AI) is instrumental in Sleep Cycle's approach, with its sophisticated algorithms designed to identify subtle sleep-related breathing patterns, even in real-world settings. By using sound examination in a flexible and context-aware manner, this AI-powered solution promises to deliver accessible and unobtrusive sleep diagnostics, transcending traditional methods that often rely on intrusive wearables or sensors.
The clinical trial, led by renowned experts in the fields of sleep science, sleep medicine, and AI, demonstrates Sleep Cycle's commitment to ethical conduct and regulatory compliance. This study, adhering to established international standards, signifies the company's dedication to transparency and integrity, ensuring the scientific rigor and overall credibility of its OSA screening feature.