Health 2030

What will healthcare look like in 2030?

Health 2030

What will healthcare look like in 2030?

Health 2030

What will healthcare look like in 2030?

Health 2030

What will healthcare look like in 2030?

Health 2030

What will healthcare look like in 2030?

Health 2030

What will healthcare look like in 2030?

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presentation

Health 2030 is a multicentric and multidisciplinary initiative aimed at exploring and exploiting the potential of new technologies in the fields of health and personalized medicine.

coordinators

coordinator_1

Giorgio
Zanetti

Currently Vice-Rector of the University of Lausanne, Switzerland, in charge of education...

coordinator_3

Andrew J. Macpherson

Professor of Medicine and Director of Gastroenterology at the University Hospital of Bern...

coordinator_2

Didier
Trono

After obtaining an M.D. from the University of Geneva and completing a clinical training in pathology...

health_2030_website_picture_committee_geissbuhler_1-3

Antoine
Geissbuhler

Antoine Geissbuhler is a Professor of Medicine, Vice-Dean for Humanitarian and International Affairs...

ONGOING PROJECTS

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MEMBER INSTITUTIONS

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DIFFERENT CATEGORIES

funded projects

Projects of the Health 2030 community are supported by the national personalized health initiatives SPHN and PHRT as well as the Leenaards foundation, the Swiss Data Science Center, and seed money from Health 2030 member institutions.

Precision Medicine FRONTLINE : a multi-support learning platform on Precision Medicine for the daily practice of frontline care professionals
+
Applicant:
Idris Guessous, Jacques Cornuz, Gérard Waeber, Sissel Guttormsen
Type:
Seed Money
Categories:
Education
Description:

VISION Primary care professionals delivering high-value precision medicine to their patients GOALS To create a multi-support platform…

Novel approach to refining risk stratification for colorectal cancer patients: application of deep convolutional neural networks (DCNN) to predict outcome and molecular subtyping
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Applicant:
Thiran, Jean-Philippe (EPFL)
Type:
iDoc Project
Categories:
Machine Learning, Oncology, Personalized diagnostics/treatment
Description:
Examining the immune suppressive role of neutrophils in human colorectral cancer
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Applicant:
Radtke, Freddy (EPFL)
Type:
iDoc Project
Categories:
Oncology, Personalized diagnostics/treatment
Description:

BROWSE BY CATEGORIES

  • Immunotherapy
  • Hematologicalmalignancy
  • Leukemia
  • Precision oncology
  • Colorectalcancer
  • Prostate
  • Personalizedoncology
  • Therapy resistance
  • Patient data
  • Dataprivacy
  • Bigdata
  • Datasharing
  • Dataprotection
  • Datascience
  • Datastocking
  • Encryption
  • Privacy
  • Interoperability
  • Internationalstandard
  • Patient consent
  • Medical consultation
  • Dynamic consent
  • Loinc
  • bodymeasures
  • Self-tracking
  • Biobank
  • Cohort
  • AI
  • API
  • Renga
  • App
  • Algorithm
  • Neural network
  • Nutrition
  • Food
  • Genetic tests
  • Sequencing
  • Biomarker
  • Prognosis
  • Tailored treatment
  • Precision medicine
  • Cardiovascular
  • Chronicdiseases
  • Peaditrics
  • Hypertension
  • Stroke
  • Genetics
  • Genomics
  • Transcriptomics
  • Neurology
  • Neuroscience
  • Media
  • Journalism
  • Onlinesurvey
  • Internet
  • Generalpublic
  • Citizenscience
  • Abuse
  • Social impact
  • Discrimination
  • Legal
  • Ethics
  • Management
  • Policy Infrastructure
  • Technologies
  • Microfluidic
  • Single cell

news & events

Au coeur du Health 2030 Genome Center

Article de SantéPerso au sujet du Health 2030 Genome Center à Genève

Health 2030 Genome Center’s First General Assembly

On March 29, 2019 the First General Assembly of the Health 2030 Genome Center took place with…

Du bon usage d’une Ecole polytechnique fédérale

Article de M. Martin Vetterli, président de l’EPFL, dans le quotidien Le Temps du 4 novembre 2018….