Gunjan Bhardwaj: How blockchain and AI can help us decipher medicine's big data

Hey there, crypto and tech enthusiasts! I recently watched Gunjan Bhardwaj’s TED Talk titled "How Blockchain and AI Can Help Us Decipher Medicine's Big Data," presented at TED@Merck KGaA in 2018. This talk dives into the complex world of medical data and explores how emerging technologies like blockchain and artificial intelligence (AI) can revolutionize the way we access and understand medical information. As a complexity specialist and founder of Innoplexus, Bhardwaj brings a fresh perspective to the intersection of healthcare and technology.

Navigating Medical Data with AI and Blockchain

Bhardwaj kicks off the talk by highlighting the overwhelming nature of medical data for patients and healthcare professionals alike. When faced with a disease diagnosis, navigating through vast amounts of information to find suitable therapies and expert opinions can be daunting. Bhardwaj proposes that AI and blockchain can streamline this process by making research more searchable and shareable.

AI: The Key to Unlocking Insights

AI plays a crucial role in Bhardwaj’s vision by analyzing and interpreting the "deep, dense, and diverse" data available in the medical field. With AI, complex datasets can be mined to extract valuable insights, helping patients and doctors make informed decisions about treatments and therapies. This approach promises to improve the accuracy and efficiency of diagnosing and treating diseases.

Blockchain: Ensuring Data Integrity and Accessibility

Blockchain technology complements AI by providing a secure and transparent platform for storing and sharing medical data. Bhardwaj emphasizes the importance of data integrity and accessibility, which blockchain can ensure by creating a decentralized, tamper-proof ledger. This not only protects sensitive information but also makes it easier for researchers and healthcare providers to collaborate and share findings.