Diagnoz Team Gathers for Periodic Strategy and Innovation Meeting Diagnosis is constantly coming up with new ideas, especially when it comes to developing faster means of sleep disorder brain signal detection. Fortunately, we managed to have our brilliant engineers, data men, and researchers attend the strategy and innovation meetings we hold occasionally.   These get-togethers must be planned and adhered to as they serve to set our direction, introduce perspective changes, and talk over every stage of the projects currently going on. It is with the help of neuroscientists, machine learners, and beneficial healthcare technologies that we strive to be the

Machine Learning Advances in Predicting Sleep Disorders Sleep disorders, both emotional and physical, present significant challenges, including daytime distress, sleep-wake disorders, and anxiety. A recent study harnesses machine learning to predict these disorders, offering new hope for those affected. The primary goal was to leverage machine learning for accurate sleep disorder prediction. The study identified the most effective regression and classification models and learning strategies by analyzing datasets and evaluation metrics. The Multilayer Perceptron, SMOreg, and KStar models excelled in regression tasks, while IBK, RandomForest, and RandomizableFilteredClassifier models outperformed others in classification. The Function learning strategy proved superior across datasets. Sleep

Revolutionizing Sleep Medicine:The Impact of Artificial Intelligence on Diagnosis and Treatment Using artificial intelligence (AI) to analyze large-scale sleep test data is revolutionizing sleep medicine, uncovering valuable patterns and correlations beyond individual tests. An article has been published on the sleep review site that analyzes the impact of artificial intelligence on the diagnosis of sleep disorders. The author believes that recent advances in artificial intelligence (AI) have revolutionized sleep medicine, offering new avenues for personalized interventions and improved patient outcomes. A study by Dr. Margaux Blanchard and her team demonstrated the potential of artificial intelligence in predicting cardiovascular disease complications and

Team CollaborationDrives Enhanced Product Quality and Market Alignment Recently, key members Majid Kalantari Darian, CEO, Arash Zokaeikheirai, CTO, and Masood Saberi Garekani, CFO, joined together in a joint effort to strengthen team cohesion and shape their business efforts. During this meeting, this strategic approach went deep into their business planning and the final product.During this meeting, periodic meetings scrutinize business processes and products to ensure the latest developments are achieved. These conversations have provided them with crucial new information that they promise their customers a better and more accurate product.Considering market needs constantly change, assessing and updating category information is critical.

Sleep Survey 2023:Unveiling America’s Sleep Struggles and Concerns A lot of emphasis has been placed on maintaining physical health and practicing self-care, and having quality sleep will be very necessary to achieve this. People who generally experience poor-quality sleep are more prone to health problems. In addition, insufficient sleep can cause problems at work and school and in people’s social relationships.In a survey conducted by USNEWS, accessible through this link “U.S. News & World Report Sleep Habits, Preferences Consumer Survey 2023“, 1,200 American adults were studied so that the quality of sleep, sleep habits, and preferences of people at bedtime were