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Insilico Medicine의 Alex Zhavoronkov는 중국과 AI가 제약 산업의 다음 혁신을 제공할 수 있다고 확신합니다.

Insilico Medicine의 Alex Zhavoronkov는 중국과 AI가 제약 산업의 차세대 혁신을 제공할 수 있다고 믿습니다.

4 min readRead the original reporting
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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fortune.com
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fortune.comhttps://fortune.com/2026/09/18/insilico-medicine-bets-china-and-ai-can-deliver-the-drug-industry-next-breakthrough/
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자사 문서가 아닌 뉴스 매체를 통한 보도입니다.

자체적으로는 확인할 수 없었던 내용: 이 소유권 주장은 해당 매장에 귀속됩니다. 당사는 자사 문서와 비교하여 이를 확인하지 않았습니다. (fortune.com)

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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 Medicine의 Alex Zhavoronkov는 중국과 AI가 제약 산업의 차세대 혁신을 제공할 수 있다고 믿습니다.

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.

소스 세부정보: fortune.com ↗

왜 중요한가요?

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

대화형 메커니즘: 실제로 작동하는 방식

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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.
대화형 개념 확인+10 Points
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다음에 무엇을 볼 것인가

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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