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Laboratory for Intelligent

Global Health & Humanitarian

Response Technologies

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Health Equity

=

(data)

We make useful data-driven tools

We make useful data-driven tools

used and prove their utility at scale

used and prove their utility at scale

INTERNATIONAL

LABORATORY

Rwanda | Switzerland | USA
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Harvard Chan School of Public Health & Brigham and Women's

Computer Science

Engineering

Building MULTIDISCIPLINARY expertise at the intersection of Global Health, Data Science, Clinical Medicine, Humanitarian Response, Refugee Wellness, Implementation Research, and User-Centered Design to resolve simple problems in complex environments.

Sustainable innovation

through co-development with NGO, humanitarian and frontline actors
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CiGHT [Collaborative for intelligent Global Health and Humanitarian Response Technologies] is the Collaborator network of LiGHT.

[coming soon]

OPEN &

IMPLEMENTABLE AI

​for provable equitable accuracy
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A suite of medical LLMs adapted to low-resource & humanitarian contexts

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DIStributed COllaborative learning: a code-free, web-based platform to collaboratively train AI without sharing any data

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Massive Multimodal Open RAG & Extraction pipeline to personalize LLMs with a diverse corpus of multimodal inputs

We are OPEN SOURCE.

Safe AI is scrutable, accessible and representative

Student
Led

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+52

students

6

MDs

20

nationalities

>100K

downloads of MEDITRON

>20

organizations on MOOVE

30K

Patients enrolled

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From

Research

To

Direct Impact

Training and capacity building are integral into our projects allowing a direct and provable impact on patient outcomes during and through research.
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Clinical

Research

Large-scale international clinical trials in complex environments to evaluate real-world implementability of AI tools
 
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Massive Open Online Validation & Evaluation

An Embedded Adaptive Platform Randomized Controlled Trial to Evaluate the Safety and Efficacy of Medical LLMs

🇹🇿🇰🇪🇳🇬🇪🇹🇷🇼

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Integrated Management of Childhood Illness using Pulmonary Lung Ultrasound

An international RCT evaluating the safety of ultrasound for the management of pediatric respiratory illness

🇸🇳🇹🇿🇿🇦 

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Computer-Assisted Diagnosis with Lung Ultrasound for the detection of pulmonary TB

An international RCT

🇧🇯🇲🇱🇿🇦

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