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AI in HealthcareAI Business & IndustryTHE DECODERPublished: Jul 4, 2026, 19:00 JST

Anthropic launches drug discovery programs for neglected diseases

Anthropic launches drug discovery programs for neglected diseases

3 Key Points

  1. What happened

    Anthropic announced it is launching its own drug discovery programs targeting neglected diseases that traditional pharma and biotech firms consider unprofitable. The company will focus on early, preclinical-stage drug development. Anthropic also unveiled Claude Science, a new AI tool for research, and demonstrated early examples including a UCSF researcher using it to spot a viral contamination in minutes that his team had missed for an entire year.

  2. Why it matters

    Pharma R&D timelines and success rates have long been constrained by information delays and operational bottlenecks. Novartis CEO Vas Narasimhan stated that AI tools could cut information and operational latency—which account for roughly 40 percent of total development time—potentially bringing drug development timelines down from twelve years to seven or eight years. Even modest improvements would matter: major pharma companies spend $150 to $200 billion(約32兆円) a year on R&D, and expanding the pool of treatable diseases could make previously unreachable drug targets viable.

  3. What to watch

    Claude Science analyzed 100 rare genetic diseases in under an hour and flagged 32 candidates for computational screening. Anthropic frames this drug discovery work as aligned with its nonprofit mission and as a way to build better AI models through firsthand experience in the sector. Other AI firms—including Deepmind (via Isomorphic Labs with Alphabet) and OpenAI—are also expanding into medicine and clinical tools.

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FAQ
What is Claude Science and what can it do?
Claude Science is a new AI tool for medical research. Early examples show it spotted a viral contamination in minutes that a UCSF researcher's team had missed for a year, and it analyzed 100 rare genetic diseases in under an hour and flagged 32 candidates for computational screening.
How much could AI speed up drug development?
According to Novartis CEO Vas Narasimhan, AI tools could reduce information and operational latency—which make up roughly 40 percent of total development time—potentially bringing timelines from twelve years down to seven or eight years. They could also help double success rates from 8 to 16 percent through better safety predictions and optimized molecular properties.
Why is Anthropic entering drug discovery?
Anthropic says the move aligns with its nonprofit mission and will help it build better AI models and tools for the broader industry through firsthand experience in drug development for diseases that traditional pharma and biotech firms consider unprofitable.

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