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Health Equity = 

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Health Equity = 

EPFL
Ariadne Labs
Ashoka
WEF

LiGHT is an international laboratory advancing open-access and implementable AI for global health and humanitarian response. 

 

With researchers and students embedded across Africa, Switzerland, India, and the United States, we design, deploy, and evaluate AI systems in partnership with ministries of health, NGOs, and frontline providers.

Our work combines strong engineering, evaluation, and implementation science to build AI that works in the real world. 

100,000

DOWNLOADS OF MEDITRON

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500,000+

CLINICAL EVALUATIONS ON MOOVE

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19

COUNTRIES IN OPERATION

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  • We translate rigorous research into real-world impact through clinical evaluation, implementation science, and measurable outcomes.

  • We co-design with communities and frontline partners, ensuring solutions are shaped by local knowledge, needs, and lived experience.

  • We co-create solutions with local partners, building knowledge, skills, and long-term ownership so innovation can continue long after a project ends.

  • We make our research, tools, and evidence openly accessible whenever possible, enabling collaboration, transparency, and greater global impact.

Why we exist

LiGHT exists to translate research into scalable solutions for global health equity and humanitarian response, especially in complex and low-resource environments.

We co-develop, validate, and scale trustworthy AI and data solutions with NGOs and frontline teams to improve health and humanitarian outcomes.

We build academic credibility by driving evidence-based solutions into deployable, scalable innovations that local stakeholders sustain locally.

How we work

Four principles guide every project at LiGHT, from early prototyping to deployment in the field. They shape how we build, who we build with, and how we measure whether our work actually helps. Rather than starting from the technology, we start from the problem, designing solutions that fit the realities of the communities and health systems we work with , not the other way around.

Impact through evidence

We translate rigorous research into real-world impact through clinical evaluation, implementation science, and measurable outcomes.

Participatory design

We co-design with communities and frontline partners, ensuring solutions are shaped by local knowledge, needs, and lived experience.

Distributed leadership & ownership

We co-create solutions with local partners, building knowledge, skills, and long-term ownership so innovation can continue long after a project ends.

Open science & public goods

We make our research, tools, and evidence openly accessible whenever possible, enabling collaboration, transparency, and greater global impact.

How we work

Four principles guide every project at LiGHT, from early prototyping to deployment in the field. They shape how we build, who we build with, and how we measure whether our work actually helps.

Tanzania Option 2 - Paeds (1).jpg

Impact through evidence

We translate rigorous research into real-world impact through clinical evaluation, implementation science, and measurable outcomes.

CHWs_Zanzibar_DTree (2).png

Participatory design

We co-design with communities and frontline partners, ensuring solutions are shaped by local knowledge, needs, and lived experience.

WhatsApp Image 2021-09-10 at 18.06.35.jpeg

Distributed leadership & ownership

We co-create solutions with local partners, building knowledge, skills, and long-term ownership so innovation can continue long after a project ends.

WhatsApp Image 2021-09-10 at 18.05.55 (1).jpeg

Open science & public goods

We make our research, tools, and evidence openly accessible whenever possible, enabling collaboration, transparency, and greater global impact.

Add a Title

Tanzania Option 2 - Paeds (1).jpg

Impact through
evidence

We translate rigorous research into real-world impact through clinical evaluation, implementation science, and measurable outcomes.

CHWs_Zanzibar_DTree (2).png

Participatory
design

We co-design with communities and frontline partners, ensuring solutions are shaped by local knowledge, needs, and lived experience.

WhatsApp Image 2021-09-10 at 18.06.35.jpeg

Distributed leadership & ownership

We co-create solutions with local partners, building knowledge, skills, and long-term ownership so innovation can continue long after a project ends.

WhatsApp Image 2021-09-10 at 18.05.55 (1).jpeg

Open science & public goods

We make our research, tools, and evidence openly accessible whenever possible, enabling collaboration, transparency, and greater global impact.

Mobile cover image

Health Equity = 

EPFL
Ariadne Labs
Ashoka
WEF

LiGHT is an international laboratory advancing open-access and implementable AI for global health and humanitarian response.

With researchers and students embedded across Africa, Switzerland, India, and the United States, we design, deploy, and evaluate AI systems in partnership with ministries of health, NGOs, and frontline providers. Our work combines strong engineering, evaluation, and implementation science to build AI that works in the real world. 

100,000+

Downloads of Meditron

Meditron Icon.png

500,000+

Clinical Evaluations on MOOVE

MOOVE Icon.png

19

Countries

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LiGHT exists to translate research into scalable solutions for global health equity and humanitarian response, especially in complex and low-resource environments.

We co-develop, validate, and scale trustworthy AI and data solutions with NGOs and frontline teams to improve health and humanitarian outcomes.

We build academic credibility by driving evidence-based solutions into deployable, scalable innovations that local stakeholders sustain locally.

Why we exist

Why we exist

IMPACT THROUGH EVIDENCE

Minimal co-dependencies

PARTICIPATORY DESIGN

DISTRIBUTED LEARNING & OWNERSHIP 

OPEN SICENCE & PUBLIC GOODS

Collaborators

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Funders

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Logo

EPFL, School of Computer Science, Switzerland

Harvard, Ariadne Labs, Harvard T.H Chan School of Public Health, USA

Ashoka University, Koita Center for Digital Health, India

C4IR, Africa AI Scaling Hub, Rwanda 

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