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Leveraging Blockchain and AI for Pharma Supply Chain Efficiency

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Manage episode 457103938 series 3472284
Sisällön tarjoaa Tory Cenaj. Tory Cenaj tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

Leveraging Blockchain and AI for Pharma Supply Chain Efficiency

ConVerge2Xcelerate (ConV2X) 2024 Presentation: Managing Supplier Risk in Supply Chain with AI and Blockchain – A TYS Perspective

Mohan Venkataraman MMS, MS (Bio Sciences) - CTO, Chainyard, Morrisville, North Carolina, USA

The presentation discusses the potential of blockchain and AI to revolutionize the pharmaceutical supply chain. The author, with a rich history in healthcare technology, highlights the inefficiencies and challenges faced by the industry, particularly in areas like drug discovery, manufacturing, and distribution. Blockchain technology, with its ability to create immutable records, can enhance transparency, traceability, and security across the supply chain. This can help in tracking the journey of drugs from raw materials to the final product, reducing the risk of counterfeiting and ensuring quality. AI, on the other hand, can optimize various processes, such as drug discovery, clinical trials, and supply chain logistics. By analyzing vast amounts of data, AI can identify patterns, predict trends, and make informed decisions. This can accelerate drug development, improve manufacturing efficiency, and optimize inventory management. The integration of blockchain and AI can create a powerful synergy, leading to significant improvements in the pharmaceutical supply chain. This includes enhanced patient safety, reduced costs, and faster time-to-market for new drugs. The presentation provides a concise view of the health care supply chain processes and discusses AI patterns such as RAG, GAM and Fine-Tuning methods such as LoRA and QLoRa that can help in building trust in the supply chain.

  continue reading

247 jaksoa

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iconJaa
 
Manage episode 457103938 series 3472284
Sisällön tarjoaa Tory Cenaj. Tory Cenaj tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

Leveraging Blockchain and AI for Pharma Supply Chain Efficiency

ConVerge2Xcelerate (ConV2X) 2024 Presentation: Managing Supplier Risk in Supply Chain with AI and Blockchain – A TYS Perspective

Mohan Venkataraman MMS, MS (Bio Sciences) - CTO, Chainyard, Morrisville, North Carolina, USA

The presentation discusses the potential of blockchain and AI to revolutionize the pharmaceutical supply chain. The author, with a rich history in healthcare technology, highlights the inefficiencies and challenges faced by the industry, particularly in areas like drug discovery, manufacturing, and distribution. Blockchain technology, with its ability to create immutable records, can enhance transparency, traceability, and security across the supply chain. This can help in tracking the journey of drugs from raw materials to the final product, reducing the risk of counterfeiting and ensuring quality. AI, on the other hand, can optimize various processes, such as drug discovery, clinical trials, and supply chain logistics. By analyzing vast amounts of data, AI can identify patterns, predict trends, and make informed decisions. This can accelerate drug development, improve manufacturing efficiency, and optimize inventory management. The integration of blockchain and AI can create a powerful synergy, leading to significant improvements in the pharmaceutical supply chain. This includes enhanced patient safety, reduced costs, and faster time-to-market for new drugs. The presentation provides a concise view of the health care supply chain processes and discusses AI patterns such as RAG, GAM and Fine-Tuning methods such as LoRA and QLoRa that can help in building trust in the supply chain.

  continue reading

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