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Young Innovators

Each year, WISH highlights some of the most exciting innovations in healthcare through its Young Innovators competition. WISH celebrates the spirit of innovation through its Young Innovators program, which provides a platform for tomorrow’s most promising healthcare leaders. Their innovations include devices, applications, innovative delivery models and design-based solutions that improve quality of care and patient experience, while also reducing the cost of care.

Yaman Abou Jieb

"PenCam" is a high-resolution camera connected to a mobile phone application to help legally blind people to read and write. 200M people worldwide considered as legally blind because of two diseases called Age related macular degeneration and Retinitis pigmentosa. The market size of aid devices was about 4B$ in 2016.

Ahmed Nabeel

"Aquscope" A surgical laparoscope that automates the cleanup process for surgical tools, reduces time spent on surgeries, and facilitates the process by making it easier for the surgeon to operate. Students will also benefit from its internal laser pointer.

Stefano Glauser

"Taste.li" an AI algorithm, combined with machine learning on their existing user base allowed the innovator, and his team, to come up with a revolutionary solution to one of the biggest concern that today’s prime-spenders are experiencing - imbalanced lifestyle and nutrition! Taste.li provides an automatized healthy and personalized meal planning that is tailored to individual needs and taste of our customers, to reach their personal goal from weight loss over muscle gain, just to become healthier.

Natalia Glazkova

"Sense2beat" physiological signals from portable monitoring devices are often contaminated with a large amount of noise, making data interpretation extremely difficult. At the core of a Sense2beat Automated ECG Detection and Prediction AI tool, is set a unique proprietary method of disturbance filtering that does not necessitate any tentative assumptions and estimations of process dynamics. This approach has a great practical importance for the development of automated ECG waveform processing in the context of extremely noisy signal acquired by clinical wearable devices.

Alaa Chalabi

SNORELEIF App is a smart algorithm that is able to detect and analyze snoring sounds while sleeping. When a snore sound is detected, the App will notify the sleeper with light and short pulses through a smart watch to make the sleeper shift the incorrect position of sleep without waking him/her up. Once the sleeper has shifted the position, the vibration will automatically stop. If the sleeper continues snoring, the watch will increase the strength of the vibrations to make sure the he/she shifts position.

Munira Aden, Dalal Al-Sharshani

"iCommunicate" in Qatar, a multicultural country, majority of the nurses are from the Philippines or India and very few from the Arab countries, which cases language barriers between the Arabic-speaking patients and healthcare workers. iCommunicate has created visual cards (with pictures) with Arabic and English words. These cards will be available for both health care providers and patients. Using these cards, patients will be able to communicate with the healthcare worker to fulfill their basic needs such as ask for food or bath and report pain etc.

Allen Mohammadi

Heartstrings TM is an accurate, non-invasive and low-cost technology for screening and early diagnosis of heart disease. By using a person’s usual medical data including ECG and demographic data, and applying a unique artificial intelligence technology, Heartstrings offers a clinically certified decision support tool to doctors and helps them detect heart disease before it is too late.

Ruchit Nagar

Khushi Baby is an electronic patient health record platform that is wearable, digital, durable, battery free, culturally symbolic, and costs $0.70. It is also a decision-making dashboard (on an android app) for health officials which gives key information to help them set priorities and identify specific actions, including: supply side gaps, health worker performance and follow-up referrals for highest risk pregnancies and newborns.

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