Anthropic is paying researchers up to $50,000 in AI credits to find rare diseases

Anthropic is paying researchers up to $50,000 in AI credits to find rare diseases

Anthropic is betting that AI can make a difference in rare disease research. It has launched a new programme through which it is offering selected researchers up to $50,000 in Claude AI credits to explore new treatments, analyse complex data and accelerate scientific discoveries.Anthropic launches a new funding initiative to help scientists working on rare disease research.Anthropic is proud of what Claude can do, from answering questions to writing code and even its agentic capabilities. Now, it wants its AI model to help tackle something much bigger. The company has announced a new initiative under its AI for Science programme, under which it will offer selected researchers and early-stage biotech companies up to $50,000 (around Rs 43 lakh) worth of Claude AI credits over six months to help accelerate research into rare genetic diseases.The funding does not come as cash. Instead, selected applicants will receive Claude usage credits that can be used to access Anthropic's AI models through its API. This will allow researchers to analyse scientific data, review medical literature and build AI-powered research tools without worrying about compute costs.Anthropic wants AI to help speed up rare disease researchAccording to Anthropic, this is the company's first focused call under its broader AI for Science programme, which it launched last year to support scientific research using AI. The company says it wants to build a community of researchers working on similar challenges so they can collaborate, share methods and accelerate discoveries together.This particular programme is focused on research around rare diseases, an area where scientific understanding remains limited despite affecting millions of people worldwide.Anthropic says more than 400 million people globally are estimated to be living with one of over 7,000 rare diseases. However, research is often slowed by small patient populations, limited datasets and fragmented medical information, making it difficult to understand how these diseases develop or identify potential treatments. The company believes AI can help bridge these gaps by analysing large volumes of biomedical data, identifying hidden patterns across diseases, summarising scientific literature and generating new hypotheses that researchers can test in the lab.How does the AI for Science programme work?Anthropic has divided the initiative into two tracks. The first is aimed at scientists, clinicians and academic researchers studying the biology and mechanisms behind rare diseases. Anthropic says participants will work alongside partners such as the Monarch Initiative, an international consortium focused on improving rare disease diagnosis and understanding disease mechanisms.Researchers will also gain access to tools such as DisMech, a disease classification library designed to help Claude analyse case reports, genetic databases and medical literature to uncover similarities between seemingly unrelated rare diseases.The second track is aimed at biotechnologists and early-stage biotech companies developing therapies for rare diseases.According to the company, it can take one to two years to move from a confirmed genetic diagnosis to a treatment available for patients. But it believes its Claude AI could help shorten parts of that process by drafting regulatory documents, reviewing safety information, analysing whether potential drug targets are suitable and helping researchers prepare submissions for regulators.How can researchers apply?Applications for both tracks are now open and will remain open until August 2, 2026, at 11:59 PM PST (August 3, 2026, at 12:29 PM IST).Selected applicants will receive Claude usage credits that can be used with Claude Opus and other approved Anthropic models for biology research. The company notes that certain projects that trigger its biological safety systems may qualify for exemptions following review.- EndsPublished By: Divya BhatiPublished On: Jul 21, 2026 11:26 IST

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