AI-Powered Sleep Apnea Detection Study Launches in Scotland
Table of Contents
- 1. AI-Powered Sleep Apnea Detection Study Launches in Scotland
- 2. Groundbreaking Study to Involve 500 Participants
- 3. how the AI Technology Works
- 4. The Scope of Pediatric Sleep Apnea
- 5. Speed and Accuracy in Diagnosis
- 6. Global Expansion and Collaboration
- 7. The Growing Field of AI in Healthcare
- 8. Frequently Asked Questions About Sleep Apnea and AI Diagnosis
- 9. What are the potential biomarkers researchers will investigate to predict treatment response?
- 10. Seluna Launches Large-Scale Study to Investigate Sleep Apnea Treatments in Children
- 11. Understanding Pediatric Sleep Apnea: A Growing Concern
- 12. The Scope of Seluna’s Landmark Research
- 13. Why This Study Matters: Addressing Current Treatment Challenges
- 14. Study Methodology: A rigorous Approach
- 15. The Role of Technology in Monitoring and Intervention
- 16. Potential Benefits for Children with Sleep Apnea
- 17. Participating Centers and Collaboration
Glasgow, Scotland – A Scottish medical technology company, Seluna, has secured over $860,000 to commence a large-scale study investigating its Artificial Intelligence-supported medical software. The device is designed to analyze nighttime sleep data, specifically targeting young people who suffer from sleep apnea.
Groundbreaking Study to Involve 500 Participants
Seluna officially announced the initiation of its 500-person examination on Thursday. The study, a collaborative effort with NHS Greater Glasgow and Clyde and the Royal Hospital for Children in Glasgow, is scheduled to be completed by the end of the year. Chief Executive Officer Scott Black stated that this initial phase will pave the way for further studies throughout the UK and the United States, ultimately leading to commercialization and regulatory approvals from the FDA and UK authorities.
how the AI Technology Works
Seluna’s certified software utilizes advanced machine learning algorithms to automate the interpretation of sleep data and diagnose obstructive sleep apnea. These AI models were meticulously trained using extensive datasets derived from numerous sleep studies, ensuring patient anonymity. The system evaluates data acquired through polysomnography (PSG), analyzing brain wave activity, oxygen levels, breathing patterns, heart rate, and body movement during sleep cycles.
Pictured: From left to right: Seluna co-founder Yola Jones, NHS doctor Ruth hamilton, Seluna CEO Scott black, NHS doctor Haytham Kubba, and Seluna Commercial Director Innes Taylor.
The Scope of Pediatric Sleep Apnea
sleep apnea, a condition where breathing repeatedly stops and starts during sleep, affects an estimated 1 to 5 percent of all children. It is especially prevalent in children with obesity or craniofacial abnormalities, often manifesting between the ages of two and eight.According to Seluna, approximately 96 million children worldwide are impacted, yet the condition remains undiagnosed in a staggering 80 percent of cases.
Speed and Accuracy in Diagnosis
The core advantage of Seluna’s technology lies in its speed. Customary PSG analysis involves manual evaluation by trained specialists, a process that can be significantly time-consuming. Seluna’s AI-driven system streamlines this process, allowing for faster and more efficient diagnoses. Notably, the software is specifically tailored for children, recognizing that their sleep patterns differ substantially from those of adults.
Did You Know? The American Academy of Pediatrics recommends that all children be screened for sleep-disordered breathing, including sleep apnea, due to its potential impact on cognitive development and overall health.
Global Expansion and Collaboration
Seluna’s Chief Technology Officer and co-founder, Yola Jones, is scheduled to participate in the Techscaler Singapore Cohort 2 program next month. As part of this state-funded initiative, Jones will present the company’s innovative technologies at a local startup event and connect with potential investors and global market leaders. This expansion represents a importent step towards increasing Seluna’s global reach.
| Key Fact | details |
|---|---|
| Funding Received | Over $860,000 |
| Study Participants | 500 children |
| Partners | NHS Greater Glasgow and Clyde, Royal Hospital for Children in Glasgow |
| Target Condition | Obstructive Sleep Apnea |
Pro Tip: If you suspect your child may have sleep apnea, consult with a pediatrician or sleep specialist for proper evaluation and diagnosis.
The Growing Field of AI in Healthcare
The integration of Artificial Intelligence in healthcare is rapidly expanding, driven by the need for increased efficiency, accuracy, and accessibility. AI-powered diagnostic tools are transforming various medical fields, from radiology and cardiology to oncology and now, sleep medicine.As AI technology continues to advance, we can expect to see even more innovative applications emerge, improving patient care and outcomes worldwide.
Frequently Asked Questions About Sleep Apnea and AI Diagnosis
What is sleep apnea?
Sleep apnea is a common disorder in which you have one or more pauses in breathing or shallow breaths during sleep.
How does AI help diagnose sleep apnea?
AI algorithms can automatically analyze sleep study data, identifying patterns that indicate the presence of sleep apnea with greater speed and efficiency than traditional manual analysis.
Is AI diagnosis as accurate as a human specialist?
Studies suggest that AI can achieve comparable,and in some cases even superior,accuracy to human specialists in diagnosing sleep apnea,particularly when analyzing large datasets.
What are the risks of undiagnosed sleep apnea in children?
Undiagnosed sleep apnea can lead to behavioral problems, learning difficulties, cardiovascular issues, and impaired growth in children.
How does Seluna’s technology differ from other sleep apnea detection methods?
Seluna’s software is specifically designed for children, accounting for their unique sleep patterns, and offers a faster, automated diagnostic process.
What are your thoughts on the use of AI in children’s healthcare? Share your opinions in the comments below!
What are the potential biomarkers researchers will investigate to predict treatment response?
Seluna Launches Large-Scale Study to Investigate Sleep Apnea Treatments in Children
Understanding Pediatric Sleep Apnea: A Growing Concern
Pediatric sleep apnea, a condition where a child’s breathing repeatedly stops and starts during sleep, is increasingly recognized as a significant health issue. Frequently enough overlooked,it can lead to a cascade of developmental,behavioral,and academic challenges. Seluna’s new study aims to address critical gaps in our understanding of effective treatments for this vulnerable population. Common symptoms include loud snoring, pauses in breathing during sleep, restless sleep, daytime sleepiness, and behavioral problems. Early diagnosis and intervention are crucial for optimal child growth.
The Scope of Seluna’s Landmark Research
This large-scale, multi-center study, initiated September 3rd, 2025, will enroll over 500 children aged 2-10 diagnosed with obstructive sleep apnea (OSA). The research will compare the efficacy of three primary treatment modalities:
Adenotonsillectomy: Surgical removal of the adenoids and tonsils – a common frist-line treatment.
Continuous Positive Airway Pressure (CPAP): A non-invasive therapy involving a mask that delivers pressurized air to keep the airway open.
Oral Appliance Therapy (OAT): Custom-fitted dental devices designed to reposition the jaw and tongue, expanding the airway.
The study’s primary outcome measure will be the reduction in Apnea-Hypopnea Index (AHI), a metric quantifying the severity of sleep apnea. Secondary outcomes will assess improvements in daytime behavior, cognitive function, and quality of life for both the children and their families. Researchers will also investigate potential biomarkers predictive of treatment response.
Why This Study Matters: Addressing Current Treatment Challenges
Current guidelines for pediatric sleep apnea treatment often rely on clinical experience and limited evidence. There’s significant variability in treatment approaches, and predicting which child will respond best to a particular therapy remains a challenge.
CPAP Compliance: A major hurdle with CPAP is adherence.Many children find the mask uncomfortable or disruptive to sleep.
Surgical Risks: While generally safe, adenotonsillectomy carries inherent surgical risks and recovery time.
OAT Limitations: OAT is not suitable for all children, particularly those with severe OSA or specific anatomical features.
Seluna’s study seeks to provide data-driven insights to personalize treatment decisions and optimize outcomes for children with sleep apnea. This research will contribute to evidence-based medicine in pediatric sleep disorders.
Study Methodology: A rigorous Approach
The study employs a randomized, controlled trial design. Participants will be randomly assigned to one of the three treatment groups. Data collection will involve:
- Baseline assessment: Extensive medical history,physical examination,polysomnography (sleep study),and behavioral assessments.
- Treatment Phase: 12 months of active treatment, with regular follow-up visits to monitor progress and address any adverse events.
- Follow-up Evaluation: Repeat polysomnography and behavioral assessments at 6 and 12 months post-treatment to assess long-term efficacy.
- Data Analysis: Statistical analysis will compare treatment groups and identify factors associated with treatment success.
the study protocol has been approved by Institutional review Boards (IRBs) at all participating centers, ensuring ethical conduct and patient safety.
The Role of Technology in Monitoring and Intervention
Seluna is integrating wearable sensor technology into the study to continuously monitor sleep patterns and treatment adherence.These devices will track:
Breathing Rate & Oxygen Saturation: Providing real-time data on respiratory events.
Sleep Stages: Assessing sleep architecture and quality.
Activity Levels: Monitoring daytime sleepiness and activity patterns.
This data will be used to refine treatment plans and provide personalized feedback to families. Telemedicine consultations will also be utilized to enhance access to care and improve communication between patients and healthcare providers. This focus on digital health solutions represents a cutting-edge approach to managing pediatric sleep apnea.
Potential Benefits for Children with Sleep Apnea
Successful completion of this study could lead to:
Improved Academic Performance: addressing sleep apnea can enhance concentration, memory, and learning abilities.
Enhanced Behavioral Regulation: reducing sleep disruption can alleviate irritability, hyperactivity, and emotional outbursts.
Reduced Risk of Cardiovascular Complications: Long-term untreated sleep apnea can increase the risk of heart problems.
Better Overall Quality of Life: Improved sleep leads to increased energy levels, improved mood, and enhanced well-being.
Participating Centers and Collaboration
The study is being conducted at leading pediatric sleep centers across the United States, including:
Children’s Hospital of Philadelphia
Boston Children’s Hospital
Stanford Children’s Health
* University of California, los Angeles (UCLA) Mattel Children’s Hospital
Seluna is collaborating with renowned sleep specialists, pediatric pulmonologists, and behavioral scientists to ensure the study