Core Insights - The article discusses the advancements in mRNA vaccine delivery using lipid nanoparticles (LNP), highlighting the development of a novel AI-driven platform called NanoForge by Jitai Technology, aimed at enhancing drug development efficiency [1][2]. Group 1: Technology and Innovation - NanoForge integrates AI, quantitative simulation, and high-throughput capabilities to provide developers with efficient construction abilities for LNPs, which are likened to "delivery rockets" for precise drug targeting [1]. - The platform boasts over 10 million lipid structures and 100,000 data points for model training, enabling targeted delivery to eight identified organs or tissues, with more than 100 authorized and filed patent applications [1][2]. Group 2: AI and Data Utilization - The platform operates on a series of vertical AI foundational models that cover critical stages in the nanomaterial development cycle, including molecular generation, property prediction, experimental design, formulation optimization, and expert validation [2]. - Unlike other databases, NanoForge includes both AI pre-training data and algorithms designed to uncover the formation rules of lipids, ultimately creating the world's largest lipid library [2]. Group 3: Development Efficiency - With the support of the NanoForge platform, research teams can achieve end-to-end optimization from computer design to in vivo validation, significantly reducing development time through a "design-learn-validate" closed-loop process [3]. - Over the past five years, more than ten pipeline projects have produced seven preclinical drug candidates, with one new drug entering the pre-application stage [3].
首个人工智能驱动的纳米递送平台发布
Ke Ji Ri Bao·2025-09-18 08:30