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Alex Zhavoronkov bu Insilico Medicine neena Siin ak juntuwaay yu bees yi munnañu joxe jéego yu am solo yi ci defarum garab yi

Alex Zhavoronkov bu Insilico Medicine yaakaarna ni Siin ak juntuwaay yu bees yi munnañu joxe jeego bu bees bi ci defar garab yi.

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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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.

Alex Zhavoronkov bu Insilico Medicine yaakaarna ni Siin ak juntuwaay yu bees yi munnañu joxe jeego bu bees bi ci defar garab yi.

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.

Ay leeral ci cosaan: fortune.com ↗

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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

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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.
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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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