Noui is a tiny wearable bladder scanner to help the hospital staff to determine risk patients’ exact timing for catheterization or cystometry to minimise fatal cases, staffing hours and infection rates. We use electromagnetic communication, capacitance coupling method to compare the signal strengths and estimate fluidity of the bladder. It assists pharmaceutical companies to determine the time for dosing and new drug effectiveness for outpatients.
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T-Meeting
T-Meeting is driven by the philosophy that people who are Deaf, DeafBlind, have speech disabilities or hearing impairments should have the same communication independence as everyone else and be integrated into the global telephone network. It provides multi-media total communications (audio, video, real-time text) software in accordance with international standards for use on mass market devices plus all of the supporting cloud-based network infrastructure.
Zymego
5-20% of all healthcare appointments are missed due to late cancellations by patients, resulting in millions of time slots being wasted annually at enormous economic costs.
Automatic digital waiting list for cancelled appointments. Fills empty time slots: Zymego automatically schedules cancelled appointments through a digital waiting list. Shorter waiting time: By getting offers of empty time slots, patients can have shorter waiting time. Reduced administration: The system is fully automated.
IGNAS
At Ignas, we believe that every patient and healthcare professional deserves a safe healthcare environment. Our groundbreaking AI medical device is specifically designed to combat healthcare acquired infections, taking a proactive stance against pathogen transmission through direct contact. By constantly pushing the boundaries of innovation, we strive to create a healthier and more secure environment for all.
Sensotrend
Sensotrend makes life with diabetes easier. We combine data from medical devices and wellness trackers, derive actionable insights from the data, and facilitate sharing the information with healthcare professionals and peers, and for research purposes.
Qinematic
Musculoskeletal problems affect 1 in 2 people, with 100M people in the EU with chronic pain and 40% without a diagnosis. Qinematic is a movement intelligence company that develops and licenses Moovment(R) software to help people move well so they can move more. It is used by health professionals to quickly record and analyse human movement in 3D, and by consumers to track their progress using 2D video from a mobile phone. Corrective exercises and results are shared in a web application.
PeckiiLess
PeckiiLess is a Sweden-based company that has created a nano-sensor that can detect blood glucose levels through human exhalation to an extremely accurate level. Hundreds of millions of people, most diabetics, around the world rely on accurate glucose monitoring to lead a healthy life. Current methods are invasive can be painful, are expensive, wasteful and not universally available. PeckiiLess can improve the lives of these people.
Videm
Videm enable quick and accurate diagnostics of infectious diseases through a point-of-care device, applicable for all pathogens and suitable for multiplex testing. Today’s diagnostics require transport to laboratories, different tests for different infections, and the average time to result is several days. With Videm, the primary care can perform in-house diagnostics, using one test for several infections and give test results within one hour, while saving both time and money.
Worldish
Worldish is an e-health company, based in Linköping, Sweden. We are working with solving different communication barriers, related to language, medical complexity and functional difficulties, mainly within the healthcare sector. Our solution is called Helen, which is a digital, multilingual communication tool and work assistent, that helps caregivers too communicate with their patients. Communication can be through text, audio or visual technology.
Ablemind
Ablemind provides an artificial intelligence (AI) enhanced tool identifying mental illness using a patient’s own words. The solution saves time and increases quality in the diagnosis and treatment of mental illness. The clinical validated measuring method decreases the number of missed diagnoses by 40%.