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English(EN) 🔬 Training Transformers to solve 95% failure rate of Cancer Trials — Ron Alfa & Daniel Bear, Noetik

Noetik 以 5000 万美元授权 AI 模型给 GSK 以提高癌症试验成功率

作者 PulseAugur 编辑部 · [2 个来源] ·

Noetik，一家生物技术公司，正在利用 AI，特别是像 TARIO-2 这样的 Transformer 模型，来解决癌症临床试验的高失败率问题。他们的策略侧重于将特定肿瘤类型的患者更好地匹配到现有疗法，而不是发现新药。这一策略促成了与 GSK 的一项价值 5000 万美元的重要交易，标志着公司从直接开发药物转向授权 AI 平台。 AI

排序理由 生物技术公司为其 AI 平台与一家大型制药公司达成 5000 万美元的交易。

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Noetik 以 5000 万美元授权 AI 模型给 GSK 以提高癌症试验成功率

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生物技术公司为其 AI 平台与一家大型制药公司达成 5000 万美元的交易。
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报道来源 [2]

  1. Latent Space Podcast TIER_1 English(EN) · Brandon Anderson, RJ Honicky, and Latent.Space ·

    🔬 训练Transformer模型将癌症试验的失败率降低至95%——Noetik的Ron Alfa和Daniel Bear

    <p>Today, we explain this piece of “clickbait” from our guest!</p><p><strong>TL;DR: 95% of cancer treatments fail to </strong><a href="https://www.nature.com/articles/s41467-025-64552-2" target="_blank"><strong>pass clinical trials</strong></a><strong>, but it may be a matching p…

  2. Latent Space (podcast video) TIER_1 English(EN) · Latent Space ·

    🔬 训练Transformer模型将癌症试验的失败率降低至95% — Ron Alfa & Daniel Bear, Noetik

    TL;DR: 95% of cancer treatments fail to pass clinical trials, but it may be a matching problem — if we better understood what patients have which tumors which will respond to which treatments, success rates improve dramatically and millions of lives can be saved — with the treatm…

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