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Health equity = 𝒇(data)

What?

Data science for global health

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We use informatics and data science to create implementable digital health tools designed to provably improve healthcare in resource-limited settings

Why?

Equitable accuracy

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When populations are under-represented in predictive tools, they risk disproportionate exposure to inaccuracy. We collect high-quality data on neglected populations and health concerns to concentrate accuracy where it is needed most.

How?

Capacity building through & during research

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We integrate training and capacity building into our projects to have a direct and provable impact on patient outcomes during and through research

See our
[academic exchange program] and [hospital renovation project]

Where?

Global Lab for Global Impact

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LiGHT is an international  lab hosted at


Yale School of Medicine, Section of Biomedical Informatics & Data Science [BIDS] 
&

Swiss Federal Insitute of Technology (EPFL) School of Computer Science [MLO]

 

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Who?

Academic-Humanitarian-Clinical Network 

We work with a network of collaborators in several universities, international humanitarian organizations, and clinical institutes to ensure needs-based, implementable technology and fair data ownership.

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and more...

ClinicaLiGHT

ClinicaLiGHT is a collaborative initiative to create robust, large-scale, international clinical studies of digital health tools.

Meet the clinical directors here

  • Dr Kristina Keitel [Child Health]

    • Swiss TPH and University of Bern

  • Dr Noemie Boillat Blanco [Adult Medicine]

    • University of Lausanne Hospital

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