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This blog was posted by Elizabeth Kittrie on November 30, 2016. It was written by Elizabeth Kittrie, Senior Advisor for Open Innovation & Policy and Joe Bonner, Health Scientist-AAAS Fellow.
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Data and code for "Mohammed Taha, H., Aalizadeh, R., Alygizakis, N. et al. The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in...
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Too many people living with Lyme disease and related tickborne conditions struggle to find answers, navigate care, and identify what works. The LymeX Healthathon invites patients, caregivers,...
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The TOPx HHS Tech Sprint for AI and Invisible Illness in 2026 is a four-month national competition with a $2,000,000 prize pool that puts U.S. open data in the hands of the public—mobilizing data...
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The Invisible Illness focus area is intentionally broad and inclusive. Invisible illness may include, but is not limited to, autoimmune conditions, mental health and behavioral health conditions,...
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Join HHS and LymeX collaborators in the Living Clinical Guidelines for IACCIs ecosystem to cocreate solutions with patients as partners for Long COVID, Lyme disease, ME/CFS, and other complex...
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TOPx HHS 2026 Challenge: How might we use U.S. open data and AI to turn fragmented signals into trusted insights, so people living with Lyme disease, Long COVID, and other complex, chronic...
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The Cost of Illness focus area explores both the economic and human burden of chronic disease and invisible illness. Participants may examine direct and indirect costs associated with delayed...
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This code repository contains the "back-end" of the Nexus Microscopy Facility Laboratory Information Management System (NexusLIMS), developed by the NIST Office of Data and Informatics. Its...
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With new Lyme diagnostics emerging, how might we make Lyme and other tickborne disease diagnoses more visible and transparent so patients and clinicians can understand and act on complex...
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