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  • Excelling in data-driven research Contributing to society

    making an
    impact on Health
  • Excelling in data-driven research Contributing to society

    making an
    impact on Health

What we do

We are an Israeli non-profit institute focused on computational health. By applying big data methodologies to real-world clinical data, our multidisciplinary team brings state-of-the-art research aimed at

Main Fields

Of Research

Pregnancy & Birth

Medication

Lifestyle

Other

Our Pathways

To Impact

Quantifying the clinical effect of lifestyle habits

Developing a personalized simulation tool that measures how changes in lifestyle habits impact our clinical conditions and health.

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Understanding the mechanism of Alzheimer’s disease

Applying computational health tools to explore the characteristics of Alzheimer’s for a better understanding of the disease’s behavior.

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Detecting autism earlier

Developing a predictive tool to identify the earliest clinical signs of autism to aid in assessment and to determine treatment options.

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Investigating drug safety and efficacy

Developing a computational platform to examine the beneficial & harmful effects of drugs, within different sectors, or in individual...

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Predicting developmental delays in infants

Developing and validating computational models (using data from routine screening tests) to more accurately identify developmental...

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Early prediction of postpartum depression

Developing predictive models to identify women at high risk of PPD to potentially enhance the accuracy of existing screening tools

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Predicting complications during pregnancy and childbirth

Developing predictive models to identify patients at risk for pregnancy complications (e.g. preeclampsia, gestational diabetes & ...

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Long-term effects of complications in pregnancy and childbirth

Studying the relationship between pregnancy complications and long-term metabolic, cardiovascular, and mental conditions of the mother.

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NEWS, EVENTS & RECENT STORIES

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28th European Congress of Psychiatry

4-7 July 2020
KI Senior Researcher Guy Amit, PhD, will present our work on predicting post-partum depression
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What factors increase the risk of COVID-19 complications in SARS-CoV-2 positive patients?

13 May 2020
Our new preprint, with Maccabi Healthcare Services' Institute for Research & Innovation,Our new preprint, with Maccabi Healthcare Services' Institute for Resear
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OHDSI-COVID-19 Study-A-Thon

26-29 March 2020
KI Senior Researcher Chen Yanover, PhD, participated in the virtual OHDSI COVID-19 Study-A-Thon

Computational health science refers to the application of advanced computational tools to healthcare data, integrating the analytical strengths and unique skills of health scientists and computer scientists. At KI, we conduct data-driven research on clinical data sets to produce insights and develop tools, policies or practices that impact health.

Some examples include:

  • Developing a risk score for early detection of disease
  • Characterizing the population distribution according to various clinical risk levels
  • Gaining insights into how a disease develops to communicate information about prevention, tests, treatment or care
Computational Health.
What Is It?
HealthscienceDatascienceComputerscience

Who We Are

Our

Partners

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Maccabi-logo
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How can we help?

Let’s talk

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