🟩Phase 1-2
Phase 1: Foundation Establishment
2024: (Q1 - Q2 )
Market Research and Analysis: Conduct thorough market research to identify key trends, challenges, and opportunities in the healthcare industry. Analyze competitor offerings and customer needs to inform platform development.
Team Formation: Assemble a multidisciplinary team of experts in healthcare, artificial intelligence, data science, software engineering, and business development. Define roles and responsibilities to ensure efficient collaboration.
Technology Stack Selection: Evaluate and select appropriate technologies and frameworks, including NVIDIA's Healthcare Generative AI, for building the HealthSci.AI platform. Set up development environments and acquire necessary hardware and software resources.
Website and Social Media Engagement: We are dedicated to developing our website and social media platforms to activate and engage with our user base effectively.
Token Generation Event (TGE): Our TGE will feature the issuance of tokens, accompanied by their listing on UniSwap to provide liquidity provisioning.
Phase 2: Pilot Deployment and Validation
2024: (Q3 - Q4 )
Prototype Development: Begin developing initial prototypes for each application feature outlined in the platform overview. Focus on building core functionalities and validating technical feasibility.
Internal Testing: Conduct internal testing of prototypes to identify strengths, weaknesses, and areas for improvement. Gather feedback from team members and stakeholders to iterate on design and functionality.
Pilot Deployment: Deploy prototypes in a controlled clinical environment or research setting for pilot testing. Collaborate with healthcare providers, researchers, and end-users to gather feedback on usability, performance, and effectiveness.
User Feedback Integration: Collect feedback from pilot users to identify pain points, user preferences, and feature requests. Prioritize enhancements and refinements based on user input to optimize the platform for real-world use cases.
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