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Sleep staging is an essential component in the diagnosis of sleep disorders and the management of sleep health. Researchers from the Laboratory for Artificial Intelligence in Medicine, headed by Dr. Joachim Behar showed that it is possible to accurately measure sleep stages using photoplethysmography (PPG) signals recorded with standard oximetry. This opens the door for the development of wearable devices that can be used to diagnose sleep disorders and improve sleep health. The study, which analyzed 23,055 hours of continuous nocturnal data, demonstrates the feasibility of using the PPG signal to robustly perform sleep staging, which is traditionally a labor-intensive process. The research was published in IEEE Journal of Biomedical and Health Informatics (JBHI). The authors of the paper are Kevin Kotzen, Dr. Peter Charlton, Sharon SALABI, Léa Amar, Prof. Amir Landesberg, and Dr. Joachim Behar. Read the full paper: https://lnkd.in/dSiquJjq.  

Another technological breakthrough at the Technion! Ready to break new ground? Take a look at what Professor Shahar Kvatinsky from the Andrew and Erna Viterby Faculty of Electrical & Computer Engineering has been up to with his team. Using a new type of computer architecture that combines both processing and storage in the same hardware, Professor Kvatinsky and his team have designed a neuromorphic computer chip and taught it to recognize handwriting using deep-belief algorithms. The chip is based on commercial technology from Tower Semiconductor and has achieved 97% accuracy in recognition while consuming minimal energy. Used in AI and machine-learning applications, the goal of neuromorphic hardware is to create more powerful and efficient computers that can learn and adapt to new situations. Together with Tower Semiconductor, the study was led by two researchers in Prof. Kvatinsky’s lab: postdoctoral fellow Dr. Wei Wang and Phd student Loai Danial. The work was also supported by the European Research Council (ERC) and the EU Horizon 2020 Future and Emerging Technologies (FET)-OPEN program. Professor Shahar Kvatinsky  

Dr. AI, What’s My Diagnosis? A Technion-developed deep-learning system looks at breast cancer scans better than a human ever could.
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An Israeli scientist collaborating with British researchers has welcomed the “fantastic opportunity” of a UK-Israel deal which could be on the cards as Britain scrambles to replace the EU with other science power houses after it was booted out of the bloc’s flagship innovation programme.
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This is already a well-known anecdote: it took the Moderna company two days to develop the corona vaccine from the moment it had the RNA sequence of the virus. But what was more complex, it turns out, was finding how to introduce the vaccine into the body.
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For the second year in a row, the Technion-Israel Institute of Technology is Europe’s top-ranked university in the field of artificial intelligence (AI), according to the prestigious international CSRankings. The repeat win further establishes the Technion’s position as a leading institution in the field and creates a new community to empower students and researchers and promote collaborations with industry and academia.
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Following collaborations with MIT, Stanford, and other leading universities around the globe, IBM Research to invest millions in research at these two leading Israeli universities

(Haifa, September 8, 2022)—The Technion and the Hebrew University of Jerusalem have signed a partnership agreement with IBM Research to advance artificial intelligence capabilities and applications in Israel. The collaboration was announced this week at a conference held by IBM in Tel Aviv to mark 50 years since the establishment of the IBM Research Lab in Israel. Read More
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“This collaboration, fueled by philanthropy, brings together two world-class institutions, Technion and Cincinnati Children’s, and two leading laboratories, each with complementary skills and assets, to improve pediatric medicine on a global scale.”
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