Rare diseases (RD) affect 3.5–5.9% of the global population, yet patients often endure a diagnostic odyssey averaging around 5–6 years, navigating multiple specialties and referrals. This study investigates the use of information content (IC)…
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Rare diseases affect over 300 million people worldwide and pose unique research challenges. In silico approaches, such as mechanistic models, machine learning, and simulations, offer scalable tools for disease characterisation, drug discovery, and virtual…
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Understanding the Burden of Rare Diseases
Rare diseases represent a significant challenge for both patients and healthcare systems worldwide. Research demonstrates that the collective burden of rare diseases is comparable to that of major conditions…
What You Should Know:
– San Francisco-based Citizen Health, a platform empowering patients with rare and complex conditions, secures $30M in Series A funding led by 8VC, with participation from Transformation Capital and Headline, bringing…
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There are over 7000 rare diseases, some affecting 3500 or fewer patients in the United States. Due to clinicians’ limited experience with such diseases and the heterogeneity of clinical presentations, ~70% of individuals seeking…
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Pangea Data, a company focused on detecting rare diseases in patients, is partnering with Alexion, a subsidiary of AstraZeneca focused on treating rare diseases, to co-develop, clinically validate and ultimately seek regulatory approval for…
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Pangaea Data, a company focused on detecting hard-to-diagnose diseases in patients, is partnering with Alexion, a subsidiary of AstraZeneca focused on treating rare diseases, to co-develop, clinically validate and ultimately seek regulatory approval for an…
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Terry Ciesla, Senior Vice President at ScribeEMR, explains in this video how various AI scribes can be evaluated on the basis on how well they handle complex, obscure, and subtle details.He offers an example…
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The Mount Sinai Health System on Monday announced its new Center for Artificial Intelligence in Children’s Health, which will explore new ways to develop, test and embed AI directly into pediatric healthcare to enable…
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Large Language Models (LLMs) show promise in healthcare tasks but face challenges in complex medical scenarios. We developed a Multi-Agent Conversation (MAC) framework for disease diagnosis, inspired by clinical Multi-Disciplinary Team discussions. Using 302…
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