NVIDIA与礼来共话AI与药物研发蓝图_老虎社区_美港股上老虎

NVIDIA与礼来共话AI与药物研发蓝图

NVIDIA英伟达01-22

在摩根大通医疗健康大会上，礼来董事长兼 CEO 戴文睿与 NVIDIA 创始人兼 CEO黄仁勋座谈，就新成立的具有开创性的AI联合创新实验室以及生物制药未来展开交流。NVIDIA 创始人兼 CEO 黄仁勋近日在与礼来董事长兼 CEO 戴文睿的炉边谈话中表示，NVIDIA 与礼来正创建“未来药物研发可能性蓝图”。这场对话在旧金山举行的摩根大通医疗健康大会期间进行，重点围绕NVIDIA 与礼来宣布成立...

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ACC"},"translate_title":"NVIDIA and Eli Lilly discuss AI and drug development blueprints","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"NVDG":0.6,"NVII":0.6,"NVD3.UK":0.6,"NVDA":1.97,"3NVD.UK":0.6,"DIPS":0.6,"NVDY":0.6,"SNVD.UK":0.6,"NVDD":0.6,"NVIW.SI":0.6,"NVDX":0.6,"NVDS":0.6,"NVDS.UK":0.6,"NVDW":0.6,"LLY":1.96,"NVDQ":0.6,"NVD2.UK":0.6,"NVD":0.6,"NVDU":0.6,"2NVD.UK":0.6},"content_text":"在摩根大通医疗健康大会上，礼来董事长兼 CEO 戴文睿与 NVIDIA 创始人兼 CEO黄仁勋座谈，就新成立的具有开创性的AI联合创新实验室以及生物制药未来展开交流。NVIDIA 创始人兼 CEO 黄仁勋近日在与礼来董事长兼 CEO 戴文睿的炉边谈话中表示，NVIDIA 与礼来正创建“未来药物研发可能性蓝图”。这场对话在旧金山举行的摩根大通医疗健康大会期间进行，重点围绕NVIDIA 与礼来宣布成立的业内首个 AI 联合创新实验室展开。黄仁勋表示：“我们正系统地将药物研发领域与计算机科学领域最聪明的大脑汇聚在一起。我们希望打造一个实验室，那里的专业知识和实验室的规模足以吸引那些真正想在这个交叉领域毕生探索的科研精英们加入。”该计划将把礼来在制药行业的全球领先专业知识与 NVIDIA 在 AI 领域的领先性相结合，共同应对人类面临的重大挑战之一：就生物学的复杂性进行建模。双方将在五年内共同投入高达 10 亿美元，用于人才培养、基础设施建设和算力，以支持设在旧金山湾区的新实验室。在炉边谈话中，戴文睿回顾了药物研发的艰辛历程，并探讨了 AI 革新药物研发周期的潜力。他表示：“每项小分子药物研发都如同艺术创作，若能将这种研发转化为工程问题，而非依赖传统药物研发的工匠式创作模式，其对人类生命的影响将不可估量。”该实验室将采用“科学家全程在线参与”框架运作，通过持续学习系统将智能湿实验室与计算干实验室紧密连接。该框架旨在实现实验、数据生成与 AI 模型开发之间的持续反馈与优化。“机器日夜运转就是为了解决这个问题。”戴文睿表示。该联合创新实验室基于礼来此前发布的 AI 超级计算机构建，该 AI 超级计算机是基于NVIDIA DGX SuperPOD构建的生物制药行业最强 AI 工厂，这个 AI 超级计算机将训练大规模生物医学基础模型与前沿模型，用于药物研发和开发。戴文睿解释到，通过将 AI 融入药物研发，制药研究人员能够快速模拟海量潜在分子，在计算机模拟 (in-silico) 中进行大规模测试，并筛选出有前景的候选药物。下一个挑战是利用 AI 发现更多生物靶点。戴文睿表示：“真正的理想状态是将这两者结合起来，实现对整个系统的统一建模。”黄仁勋与戴文睿还就礼来公司长期以来在制药研究中运用计算技术的历史，以及脑衰老相关疾病如何成为药物研发的下一个前沿领域等话题展开交流。“我无法想象还有比这更值得应用计算机科学的领域，”黄仁勋表示，“希望我们能改变历史的轨迹。”NVIDIA 亮相摩根大通医疗健康大会NVIDIA 的全栈式 AI 平台正加速推动数字生物学与药物研发领域领先基础模型的创建与部署。为表彰近期取得的重大进展，黄仁勋在摩根大通医疗健康大会上向十余位行业先锋人物，以及他们所开创的 AI 模型表达了敬意。黄仁勋表示：“过去十年间，我们推动 AI 性能实现了百万倍的飞跃。我相信，在接下来的十年里，各位将体验到我们这一代人所经历的同样精彩的旅程……我向在座的每一位赠送一台 DGX Spark 作为新年贺礼，感谢你们为行业及人类未来所作的贡献。”在摩根大通医疗健康大会上，十余位 AI 与药物研发领域的先锋人物获赠了由 NVIDIA 创始人兼 CEO 黄仁勋亲笔签名的NVIDIA DGX Spark系统。获奖者包括：Zach Carpenter，VantAICEO，开发了适用于所有生物分子共折叠 (co-folding) 与设计的 Neo 模型家族。Gabriele Corso，BoltzCEO，创建了最成熟的开源生物分子模型家族之一。Evan Feinberg，Genesis Molecular AICEO，开发了蛋白质和小分子结构预测模型 Pearl。Chris Gibson，Recursion董事长，Najat Khan，RecursionCEO，开发了用于显微镜数据分析的 OpenPhenom 视觉 Transformer (Vit) 模型。Glen Gowers，Basecamp ResearchCEO，创建了生物多样性层级的基因组语言模型家族 EDEN。Brian Hie，Arc 研究所创新研究员，Evo 2 (DNA 语言模型 Evo 家族的一部分) 开发过程中的重要合作方。Max Jaderberg，Isomorphic公司总裁，正扩展 AlphaFold 的能力，该模型是蛋白质结构与相互作用领域的标志性模型家族。Simon Kohl，Latent LabsCEO，开发了用于蛋白质序列与结构的 Latent-X 生成模型家族。Joshua Meier，Chai DiscoveryCEO，开发了用于分子结构预测与设计的 Chai 生成式 AI 模型家族。Tom Miller，Iambic Therapeutics联合创始人兼CEO，开发了 NeuralPLexer 模型家族，可灵活、精准、快速地预测蛋白质和小分子结构。Alex Rives，Biohub科学负责人，创建了领先的 ESM 蛋白质语言模型家族。Alex Zhavoronkov，英硅智能CEO，创建了Pharma.AI——一个涵盖靶点发现、生成式化学和临床预测的综合模型套件。在摩根大通医疗健康大会上，NVIDIA 还宣布对其 AI 驱动的生物学与药物研发平台NVIDIA BioNeMo 进行重大扩展，新增工具包括：NVIDIA Clara 开放模型，用于预测 RNA 结构并确保 AI 设计的药物能够实际合成。BioNeMo Recipes，用于加速和扩展生物基础模型的训练、定制与部署。BioNeMo 数据处理库，例如为分子设计打造的GPU加速的化学信息学工具 nvMolKit。NVIDIA 还重点介绍了与仪器设备领导者赛默飞的合作，双方将利用 NVIDIA 的全栈 AI 计算技术打造自主实验室基础设施。同时，NVIDIA 还展示了总部位于旧金山的初创企业 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