=
Health Equity
(data)
INTERNATIONAL
LABORATORY
We make useful data-driven tools used and prove their utility
Public Health
Computer Science
Engineering
Hosted jointly at
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Yale [USA]
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EPFL [Switerland]
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CMU-Africa [Rwanda]
We collaborate with a global network of academic, humanitarian, and clinical partners.
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Sustainable innovation
through academic-NGO collaborations
CiGHT [Collaborative for intelligent Global Health and Humanitarian Response Technologies] is the Collaborator network of LiGHT.
→ Go to cight.org
Making useful tools in complex environments requires fair multidisciplinary teamwork
OPEN SOURCE
&
IMPLEMENTABLE
We use data science to create implementable digital health tools designed to provably improve healthcare in resource-limited and humanitarian response settings.
MOOVE
STUDENT
LED
13
countries
20
nationalities in LiGHT's team
+52
students in LiGHT team
try this shit out
>100K
downloads of MEDITRON
6
MD in lab
>20
organizations on MOOVE
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.
ONGOING PROJECTS
A code-free, installation-free browser-based platform that allows any non-technical user to collaboratively train AI models without sharing any private data.
A suite of open-source medical Large Language Models (LLMs) co-designed by clinicians, humanitarian actors, Al ethicists,
and data scientists.
In the wake of the pandemic, UltraAI was able to develop an artificial intelligence algorithm capable of analysing ultrasound data in a few seconds and assessing it according to a severity index associated with the lung damage generated by the disease.
INJ 130 (Bâtiment INJ)
Station 14 1015 Lausanne
EPFL
mary-anne.hartley [at] epfl.ch
Yale