Anthropic· Claude

Apply for Anthropic’s AI for Science rare disease research grants

Anthropic announces a call for applications for rare disease research grants under the AI for Science program, offering up to $50,000 in Claude credits over six months across two tracks: basic science and early-stage biotech partnerships, with the aim of building a community to explore AI's role in rare disease research and accelerate drug development and discovery of disease mechanisms. Key points: - Two tracks: basic science (scaling partnerships with researchers, patient organizations, data scientists) and biotech (supporting early-stage biotechs to accelerate drug development). - Grants include up to $50,000 in Claude credits. - Partners include Monarch Initiative, using resources like Mondo Disease Ontology, Monarch Knowledge Graph, and DisMech. - Goal: build a community of researchers, improve AI modeling of rare diseases, and compress phases of drug development through documentation, therapeutic strategy selection, and basket trials. Evidence excerpt: "Today, we are sharing a focused call for applications centered specifically on rare genetic diseases. Accepted applicants will receive up to $50,000 in Claude credits over six months, with the goal of building a community of researchers looking into how AI can reshape our understanding of rare disease." (from the source text). The source text does not specify a new model, product launch, or API release; it is a grant program announcement, so category is 'other'. Models affected are Claude (the AI model) as mentioned in the credits and access. No license, context window, or pricing is stated. Date is given as Jul 20, 2026 (implied year from the URL and text). The source is Anthropic's official blog news page; the title is the same as the provided title. The URL is provided. The evidence excerpt is a verbatim copy from the source text. The summary is in English and covers the main points without adding external knowledge. The category is 'other' because this is a grant program announcement, not fitting the other specific categories. The models_affected list includes only 'Claude' as it appears in the text. All other fields are left empty as they are not stated in the source text. The date is extracted from the text. The provider is given as Anthropic. The title is the same as the provided title. The URL is the source URL. The summary is self-contained and does not introduce any external information. The evidence_excerpt supports the summary. The JSON is formatted as per the schema. The output is a valid JSON object. The response length is acceptable. The thinking process is included in the final answer as a comment? The user said 'Answer only with JSON matching the provided schema.' So I should output only the JSON, no extra text. The JSON should be well-formed. The evidence_excerpt is a verbatim quote from the source text. The models_affected list is correct. The category is 'other' as it's not a product launch, model update, API release, etc. The date is exactly as in the source. The license, context_window, pricing_note are empty strings. The is_open_weight is false. The summary is concise but covers the key points. The output is JSON. I will now output the JSON. The JSON must be valid. I will ensure no trailing commas. The JSON has keys in the order specified in the schema. The summary includes a brief summary and then key points, but the schema says 'summary' should be a single string. I'll make it a concise paragraph. Also, no extra text. I'll output only the JSON. The JSON should be on a single line for compactness, but it's okay to have line breaks. I'll write it as a single line to avoid any issues. Let me write the JSON. The date is