
We are collaborating with the American Academy of Dermatology (AAD) to support trusted, high-quality clinical image resources that reflect the full spectrum of skin types and tones. This work aligns with the AAD Clinical Image Collection’s mission to close gaps in dermatologic education and enhance diagnostic accuracy through diverse, real-world images used in professional training and patient care.

We are pursuing a forthcoming grant in partnership with the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) under the Notice of Special Interest: Accelerating Research in Understudied Skin Types. This collaboration supports the development of inclusive dermatologic datasets and improves diagnostic accuracy across diverse skin tones—advancing equitable, clinically reliable AI.continuously measures the accuracy of data annotators, whose annotation quality is motivated by pay-for-performance incentives, and optimized by collective intelligence.

Centaur lab's mission is to accelerate AI breakthroughs in science and healthcare. AI developers make use of healthcare data. Their scalable and high quality data annotation platform continuously measures the accuracy of data annotators, whose annotation quality is motivated by pay-for-performance incentives, and optimized by collective intelligence.

CHI is a non-profit research and educational institute making healthcare more equitable. Their mission is to bring together experts and ideas from all over the world to improve healthcare for everyone, regardless of socioeconomic status, gender, race, ethnicity, or other social determinants.

The Clinton Global Initiative (CGI) brings together established and emerging global leaders to create and implement solutions to the world’s most pressing challenges. CGI works with partners to develop Commitments to Action — new, specific, and measurable actions in climate resilience, health equity, and inclusive economic recovery and growth.
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