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0900 712 712
(3.23 CHF / min. from the Swiss landline, possibly additionally 8 Rp. / min. in the waiting loop by network operator)
0900 712 713
(3.12 CHF / min. for calls from prepaid cell phones, possibly additionally 8 Rp. / min. in the waiting loop by network operator)

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Hotline for child and youth emergencies

The Medgate Kids Line provides fast and simple medical advice when your child is unwell. The medical team from our partner Medgate is available by phone around the clock.

0900 712 712

(3.23 CHF / min. from the Swiss landline, possibly additionally 8 Rp. / min. by network operator)

0900 712 713

(3.13 CHF / min. for calls from prepaid cell phones, possibly additionally 8 Rp. / min. by network operator)

Please note: the Medgate Kids Line is currently offered in German.

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144 Ambulance
145 Tox Center (Poisoning)
117 Police
118 Fire Department

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Nahum, PhD, Uri

Dr. Uri Nahum, PhD

Applied Mathematician & AI Specialist

Research interest

Uri Nahum is a mathematician and Artificial Intelligence (AI) specialist. He applies maths/AI/ML to clinical research problems, bringing complex analytical methods to the bedside. He works with UKBB clinicians to improve/facilitate diagnosis and treatment outcomes.

Short biography

After receiving a B.Sc. in Computer Science and Mathematics at Ben Gurion University in Israel, Uri Nahum earned a Master's Degree in Mathematics and a Ph.D. in Applied Mathematics from the University of Basel.

On graduation, he lead a research group at the Biomedical Engineering Department, collaborating with med-tech companies to develop algorithms for medical devices.
Since 2019 he has worked at UKBB as an applied mathematican, leading data-driven diagnostics. He uses cutting-edge artificial intelligence, machine learning, deep learning, and statistical analysis to deliver end-to-end solutions in pharmacology, radiology, endocrinology and pneumology.

Dr Nahum enjoys bringing his real-world experience back to the classroom. He lectures in the Masters Program for Medical Informatics at the FHNW, raising the next generation of data scientists. He creates placement opportunities within his hospital team, mentoring and supervising students throughout.