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The FHNW comprises 10 schools with different specializations. Select a school to see its specific courses, study programmes and information.

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    • Buddy programme
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aiHealthLab, FHNW School of Life Sciences

School of Life Sciences


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Research fields
AIHealthLab_BiomedicalData
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Integrated intelligence for diagnostics and therapeutics

The Laboratory of Artificial Intelligence for Health (aiHealth Lab) at the FHNW School of Life Sciences is led by Prof. Dr. Enkelejda Miho. Our group is part of the Institute of Medical Engineering and Medical Informatics located in Muttenz, Switzerland.

Our group’s research focuses on the emerging field of artificial intelligence applied to health. Artificial intelligence represents methods to process large-scale data and recognise the patterns within. Health data is generated from a variety of sources and includes molecular profiles, medical records, and real-world data.

The mission of our group is to apply artificial intelligence to set standards, understand mechanisms and guide decisions in healthcare. With these aims, health data is generated in the laboratory, collected from public sources, and obtained through collaborations with biopharmaceutical companies and hospitals. Our group uses advanced analytics for personalised medicine, drug discovery and development, and decision support systems. Our vision is to develop integrated intelligence for diagnostics and therapeutics.

Schematic: aiHealthLab’s vision is to develop integrated intelligence for diagnostics and therapeutics.

Research focus areas

Research at the aiHealth Lab aims to understand the complexity of the immune response at the interface of health and disease. Integrate this complexity to the clinical, traditional and digital biomarkers is an open venture towards digital twins.

We are interested in establishing methods that unravel the multi-factorial determination of the immune response with age, measure the dynamics at the single-cell level and illustrate the immune repertoire imprints within the individual’s journey of health.

Deepening the understanding of personal and herd immunity through data integration, we aim to provide insights into disease mechanisms, and predict response to treatment, and thus guide the discovery of novel and safe therapeutics such as antibodies, nanobodies and vaccines.

Schematic showing the research expertise of the aiHealth lab.
Biomedical data, health records and molecular profiles
Machine learning, informatics and data science

Partners

aiHealth Lab is open to research projects and public private partnerships to bring forward the research of the immune system and support implementation interfaces to the molecular, clinical, phenotypic and real-world data questions by applying artificial intelligence methods.

Public past and present research partners include:

  • University and University Hospital of Basel
  • University of Luzern
  • University of Pavia
  • University of Pamplona
  • University of Heidelberg
  • University of Utrecht
  • University and University Hospital of Strasbourg
  • University and University Hospital of Freiburg
  • University of Oslo
  • University and University Hospital of Zurich
  • University of Mainz
  • Agency for Science, Technology and Research (A*STAR) Singapore
  • University of Cambridge
  • SMEs and biopharmaceutical companies such as aiNET, Roche, Novartis, Sanofi

Projects

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Events, news and stories

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Publications

Contact

Enkelejda Miho

Prof. Dr. Enkelejda Miho

Team leader, Digital Life Sciences
Phone
+41 61 228 58 47
E-Mail
enkelejda.miho@fhnw.ch

Team

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