Up to 50% of all children between the ages 2-5 will experience problems with foods during their childhood. Circa 25% of these children will get the diagnose selective eating disorder. This results in a stressful mealtime situation for the whole family all the way from cooking the food to eating it.
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Sumondo
Stress is a major cause of diseases. Sumondo is medical device company providing a clinical product for diagnosing mental stress and preventing depression. The Sumondo pro app works with sensors using heart rate variability (HRV) and artificial intelligence (AI). The solution can be applied for multiple clinical applications, including chronic stress, diabetes, cardiac problems and epilepsy. The product benefit the patients in early diagnosis, reducing costs and enabling prevention of diseases.
Min Doktor
Min Doktor provides online medical consultations – in a straightforward, efficient process for both doctor and patient. Better for people: Fast, convenient, high-quality healthcare at the time and place of your choice. Better for society: A more efficient healthcare system and shorter waiting lists. Better for doctors: Professional development opportunities and the freedom to take on a more varied caseload, with the support of structured data collection and less administrative duties.
Kara Connect
Kara transforms access to help. With Kara’s seamless virtual office solution professionals can run their entire practice, saving money and reaching further with a secure online video module. Kara helps therapists grow. Kara connects clients and carers with professionals, in healthcare, education and beyond. Clients can find, select, book, be reminded and attend appointments with therapists or clinicians without travel or fuss.
Coala Life
Coala Life is a Swedish medical developer on a mission to digitally transform the field of cardiac diagnostics, to help win the battle against the world’s leading cause of death – the heart. It’s about helping to predict and prevent cardiac disease, powered by smart algorithms and the individual.
Learning to Sleep
Learning to Sleep treat persons with sleeping disorder through a digital platform. The patient gets a mobile app and is followed during treatment by a psychologist. Our solution has 94 percent success rate, is evidence based and CE-marked. In Sweden we have treated over 3000 patients and the treatment is also available in the UK.
Medotemic
Medotemic develops advanced systems for motion analysis, utilizing mobile sensor data. Our mission is to enable self-care by supporting people during their rehabilitation, or those who wish to improve their running performance.
The ”MyStep info” and ”Myrunning” motion analysis apps keep track of the step symmetry, motion pattern development and running performance.
The solution means a step-to-step transition to an improved motion pattern!
Daman
Daman is a software product house and digital agency specialized within healthcare. Our purpose is to empower chronic patients, so they can experience the best possible quality of life. We believe that the use of intelligent technologies and a data-driven approach will provide better healthcare services to the individual, while reducing the public healthcare costs at the same time.
CheckWare
CheckWare is for hospitals and municipalities that use clinical measures and want to provide digital self-reporting and self-management to their patients. The solution automates the delivery and scoring of measures, enables Internet-based treatment supported by clinicians and is adjustable to any care pathway and can be integrated with the EHR and other relevant systems. CheckWare is used by over 250 healthcare organizations. CheckWare increases organizational efficiency and patient engagement.
Acorai
Acorai is developing a non-invasive intracardiac pressure monitoring device to help reduce heart failure re-hospitalization and mortality rates.
The Acorai Heart Monitor has been designed to offer accurate, personalized, and efficient care for heart failure patients.
The SAVE Sensor System: First-of-its-kind hardware architecture and Machine Learning to generate absolute intracardiac insights.
Ongoing clinical validation to provide continuous and actionable information to support decision-making across all stages of heart failure.