CARE
CARE (Conversational AI for Research and Engagement)
aims to revolutionize support and guidance for individuals experiencing long COVID by developing a cutting-edge Conversational Research Large Language Model (LLM). This innovative platform will provide tailored connections to clinical trials, specialists, and verified therapies, while leveraging both anecdotal experiences and scientific data. Users will interact with the system to assess the likelihood of long COVID, receive guidance on verification steps, and explore therapeutic options ranging from traditional medicine to emerging treatments. CARE empowers users with actionable insights, fostering informed discussions with healthcare providers and expanding access to global resources. (CARE will provide support and guidance for individuals experiencing Long COVID or who think they might be experiencing Long COVID, by providing a probable assessment of their symptoms, guidance on how to verify they have Long COVID, and information about clinical trials, specialists, and verified therapies. CARE will provide recommendations tailored to their reported symptoms, experiences, and previous treatments. It will also collect and make available anecdotal data from other Long COVID patients about therapies and providers that have worked for them. CARE will empower users with actionable information, connect patients and providers, further the treatment and outcomes of Long COVID patients, and add to the knowledge base of the global healthcare community.)Specific Aims
- Create an interactive AI-driven system to assist users in identifying potential long COVID symptoms and guide them through verification steps.
- Aggregate and analyze diverse data sources, including clinical trials, verified therapies, and anecdotal experiences.
- Provide personalized recommendations for therapies, clinical trials, and specialists tailored to user symptoms and needs.
- Enable global searches for specialists and clinical trials treating long COVID and its associated conditions.
- Promote interdisciplinary collaboration by integrating insights from Western medicine, alternative therapies, and emerging research.
