dTrials
{"title": "dTrials", "logoImg": "bafkreidjzg2t3lcnrbo2wekrp6cs74qapqjn4yy5mybadeo5wjcfdeiqha", "website": "https://dtrials.gitbook.io/dtrials", "bannerImg": "bafkreicgakip235cr4rprlyukmudwe3zut37dp55u232dvjmlbxmvfuwgi", "createdAt": 1721223778706, "userGithub": "mousacel", "credentials": {}, "description": "**TL;DR:** dTrials is a hardware and software stack for distributed to fully decentralized clinical trials.\n \n# Vision\nIn an era where technology is reshaping healthcare, our team proposes an innovative approach to revolutionize clinical trials. Our vision is to create a new paradigm in clinical trials - one that is more inclusive, equitable, and efficient. By decentralizing the research process and employing innovative technologies, we strive to open up new avenues for scientific discovery and healthcare advancements, making clinical research accessible to all.\n \n# Issue Statement\nOur project addresses several pivotal challenges in clinical trials:\n\n- Data Accessibility and Utilization: Real-world health data is often trapped in isolated silos, impeding its use in health innovation and research due to organizational, legal, and technical barriers.\n\n- Participant Engagement and Compliance: Low engagement and compliance in clinical trials result in incomplete or biased data.\n\n- Trial Accessibility: Traditional trials face geographical and logistical barriers that restrict diverse population participation.\n\n- Data Privacy Concerns: Convincing participants to share personal health data remains a significant hurdle due to privacy concerns.\n\nBy introducing a decentralized model for clinical trials and enabling direct data sharing from individuals, we aim to enhance data collection efficiency, improve participant engagement, and foster more inclusive and diverse research.\n \n# Solution\nOur proposed solution integrates advanced technology and a decentralized approach to address key challenges in clinical trials. It encompasses:\n\n- Advanced Technology Integration: Utilizing MCS Data Labs' proprietary smartwatches equipped with sensors for comprehensive bio and environmental data collection, supported by custom software and AI/XAI algorithms for efficient data capture and processing.\n\n- Decentralized Clinical Trials Infrastructure: Creating an open-source platform to democratize the research process, allowing diverse groups to conduct their own clinical trials.\n\n- Privacy and Data Sovereignty: Incorporating Web3 technologies like sharding and ZK proofs to ensure enhanced privacy and data security, giving users complete control over their data.\n\n- Tokenomics for Participant Compliance: Introducing a tokenomics model to incentivize participants through smart contracts, promoting adherence to trial protocols.\n\n- Community-Driven Research Ecosystem: Implementing a DAO structure to allow community members, including patients and researchers, to actively participate in the research process, fostering a democratic, privacy-preserving approach.\n \n# Background\nOur journey began at the ZuHack event in Istanbul last November, where we focused on enhancing the privacy aspects of our technology and conducted a small-scale pilot with MCS’s proprietary smart devices. Our innovative approach won two awards in the DeSci and ZK categories, validating our initial hypotheses and setting the foundation for our ongoing work. \n\nMore details on our submission can be found on the [DoraHacks project page](https://dorahacks.io/buidl/7963) and on [our repository from that hack](https://github.com/dTrials/zuhack23).\n \n\n\n", "logoImgData": {}, "bannerImgData": {}, "projectGithub": "dTrials"}