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Insilico Medicine 的 Alex Zhavoronkov 押注中国和人工智能可以实现制药行业的下一个突破

Insilico Medicine 的 Alex Zhavoronkov 相信中国和人工智能可以实现制药行业的下一个突破。

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Source-provided image accompanying Insilico Medicine's Alex Zhavoronkov bets China and AI can deliver the drug industry's next breakthrough
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出版商
fortune.com
来源链接
fortune.comhttps://fortune.com/2026/09/18/insilico-medicine-bets-china-and-ai-can-deliver-the-drug-industry-next-breakthrough/
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我们无法独立确认的内容: 此声明归因于指定的商店。我们没有根据第一方文件对其进行验证。 (fortune.com)

背景60 秒内了解这一点

从这里开始

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发生了什么

Insilico Medicine's Alex Zhavoronkov believes China and AI can deliver the drug industry's next breakthrough. The company is running a Phase 3 trial in China for its AI-discovered drug rentosertib, which is for idiopathic pulmonary fibrosis. Insilico used AI to identify the disease target and develop the molecule to treat it. The company has also launched LongevityBench, a test of large language models' grasp of aging biology.

Insilico Medicine 的 Alex Zhavoronkov 相信中国和人工智能可以实现制药行业的下一个突破。

The company is running a Phase 3 trial in China for its AI-discovered drug rentosertib, which is for idiopathic pulmonary fibrosis.

Insilico used AI to identify the disease target and develop the molecule to treat it.

The company has also launched LongevityBench, a test of large language models' grasp of aging biology.

Insilico's strategy of using Chinese resources and talent to develop products for the Chinese market could be a key factor in its success.

来源详情: fortune.com ↗

为什么这很重要

Insilico Medicine's success in China and its use of AI to develop drugs could be a game-changer for the pharmaceutical industry. The company's AI-discovered drug rentosertib is in Phase 3 trials, and its LongevityBench test could help improve the understanding of aging biology. Insilico's strategy of using Chinese resources and talent to develop products for the Chinese market could also be a key factor in its success.

Insilico Medicine's success in China and its use of AI to develop drugs could be a game-changer for the pharmaceutical industry.

The company's AI-discovered drug rentosertib is in Phase 3 trials, and its LongevityBench test could help improve the understanding of aging biology.

Insilico's strategy of using Chinese resources and talent to develop products for the Chinese market could also be a key factor in its success.

The company's use of AI could help improve the understanding of aging biology and lead to the development of new treatments.

Insilico's success could lead to a shift in the way drugs are developed and marketed.

Interactive Mechanism

互动机制:它实际上是如何运作的

以交互方式探索这一发展背后的基础技术。

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
交互式概念检查+10 Points
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接下来看什么

Insilico Medicine's progress in China and its use of AI to develop drugs will be closely watched by the pharmaceutical industry. The company's success could lead to a shift in the way drugs are developed and marketed, and its use of AI could help improve the understanding of aging biology.

Insilico Medicine's progress in China and its use of AI to develop drugs will be closely watched by the pharmaceutical industry.

The company's success could lead to a shift in the way drugs are developed and marketed.

Insilico's use of AI could help improve the understanding of aging biology and lead to the development of new treatments.

The company's strategy of using Chinese resources and talent to develop products for the Chinese market could be a key factor in its success.

Insilico's success could help address the issue of longevity inequality.

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