Outer Biosciences trains the AI model using live skin data
TechCrunch
15h ago
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Outer Biosciences uses ex vivo human skin samples that can maintain activity for several weeks to train the AI model, aiming at skin biology and cosmetics research and development.
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由 Michael Polansky 创办的生物技术公司 Outer Biosciences,正把 AI 与活体人类组织实验结合起来,试图改进皮肤研究和成分筛选。公司称,其系统可让离体人类皮肤在体外维持活性长达一个月,明显长于行业常见的数天周期。

样本来自手术后组织

这家公司成立于 2022 年。其做法不是培养合成器官,而是从手术后原本会被弃置的人类皮肤中获取样本,主要来自整形手术。Polansky 表示,样本通过经过审查的非营利组织、组织库和中介渠道取得,并在伦理审查和捐赠者同意框架下流转。

他称,样本在送达公司前已完成去标识化处理,不包含姓名、联系方式等直接身份信息。公司并非直接购买组织,而是向供应方支付成本回收性质的费用。为了让样本在术后数小时内送达并保持活性,公司花了约两年时间搭建供应和处理流程。

体外存活延长至一个月

Polansky 说,团队开发了一套专有支持系统,持续为组织提供营养并清除代谢废物,从而把皮肤样本的可用时间延长到约一个月。相比之下,传统体外皮肤实验通常只能维持数天。

这一区别直接影响实验范围。数天时间通常只够观察急性毒性,难以覆盖胶原重塑、色素变化和皮肤屏障修复等需要数周才会显现的过程。公司称,其系统中的样本在 30 天后仍能较好保留初始结构,以及表皮、基质和免疫相关分子特征。

以晒伤为例,研究人员可以先对活体皮肤施加 UVB 损伤,再在随后几周持续跟踪应激、炎症和恢复反应。Polansky 表示,这套系统不是在“治疗”皮肤,而是在记录损伤发生后的完整生物过程。

AI 用于预测候选成分

Outer Biosciences 的核心目标,是把这些实验结果持续反馈给 AI 模型。公司先让模型预测哪些尚未测试的化学成分可能改善某项皮肤功能,再把候选成分放入活体组织系统中验证,随后把结果重新输入模型,继续训练下一轮预测。

Polansky 认为,公司的价值不在单一技术点,而在于把长期存活的人类组织、多样化供体样本、可控实验条件和连续分子测量整合成一个闭环系统。按这一思路,AI 不只是做数据分析工具,而是直接参与成分筛选和实验设计。

补充信息:报道提到,Lady Gaga 在 Outer Biosciences 董事会任职;其美妆品牌 Haus Labs 也与这家公司在科研顾问和部分项目上存在合作。

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