OpenAI releases a life sciences AI policy report, urging the government to open up medical data

MarketWhisper

OpenAI生命科學AI報告

On April 15, OpenAI’s policy, research, and science team released a report arguing for expanding AI applications in the life sciences field, and sharing it exclusively in advance with Axios before its official public release. The report puts forward three core policy demands: granting access to open medical and scientific data, classifying advanced AI as a “national-level research resource,” and increasing investment in physical infrastructure such as computing power, laboratories, and energy.

The Report’s Three Core Policy Demands and AI Capability Claims

According to the OpenAI report, the three core policy demands are:

· Open access to medical and scientific data: argues that governments should expand the ways to publicly obtain relevant data

· National-level resource status for AI: advocates listing advanced AI systems as national research resources

· Infrastructure investment: calls for increased funding for computing power, laboratory, and energy infrastructure

The report cites analysis indicating that AI tools can shorten the timeline of clinical trials across all stages by more than 20%, and states that AI can compress laboratory workflows from months to days. The report specifically mentions that GPT-5 Pro has been used to find new uses for existing FDA-approved drugs for diseases that currently have no effective treatments.

Nature Medicine Clinical Data Records and Amazon Bio Discovery Launch

According to a paper published in mid-2025 in Nature Medicine, among drugs discovered with AI assistance, the number that enter clinical trials is extremely small, and none has completed a Phase 3 clinical trial. The paper also records that the failure rate of AI-discovered drugs in Phase 2 clinical trials is comparable to that of drugs discovered through traditional methods. In the paper, the researchers state: “Whether AI can create a meaningful, enduring disruption to drug development is still a question that has not yet been answered.”

In the same week, Amazon announced the launch of Bio Discovery, an AI-driven drug molecule generation tool, aimed at helping researchers design drug molecules.

Frequently Asked Questions

What are the three core policy demands of OpenAI’s life sciences AI report?

According to the report released by OpenAI and exclusively shared in advance with Axios, the three demands are: open access to medical and scientific data, classifying advanced AI as a national-level research resource, and increasing investment in computing power, laboratory, and energy infrastructure.

What data does the Nature Medicine paper record about AI drug development?

According to a paper published in mid-2025 in Nature Medicine, no AI-assisted discovered drug has completed a Phase 3 clinical trial, and the Phase 2 clinical failure rate of AI-discovered drugs is comparable to that of drugs discovered through traditional methods; the paper’s researchers say that AI’s “ongoing impact” on drug development “has not yet been answered.”

How is the Amazon Bio Discovery tool positioned in terms of its function?

According to the announcement released by Amazon, Bio Discovery is an AI-driven drug molecule generation tool, intended to help researchers design drug molecules. Its launch timing is the same as the release time of OpenAI’s life sciences report.

Disclaimer: The information on this page may come from third parties and does not represent the views or opinions of Gate. The content displayed on this page is for reference only and does not constitute any financial, investment, or legal advice. Gate does not guarantee the accuracy or completeness of the information and shall not be liable for any losses arising from the use of this information. Virtual asset investments carry high risks and are subject to significant price volatility. You may lose all of your invested principal. Please fully understand the relevant risks and make prudent decisions based on your own financial situation and risk tolerance. For details, please refer to Disclaimer.

Related Articles

Why did Intel’s good news drive Nvidia’s stock to surge?

Intel’s quarterly earnings EPS came in at $0.29 and revenue at $13.6 billion, both beating expectations. Momentum in data center and computing equipment updates has rebounded, boosting confidence in semiconductor and AI demand. This positive news lifted Nvidia’s stock price by about 4.9% at midday. The market believes underlying compute demand remains strong, reducing concerns about AI becoming overhyped, and supporting Nvidia’s long-term growth outlook. Positive sector linkages are appearing at the same time as the two companies’ competition.

ChainNewsAbmedia27m ago

China and US Face AI Showdown Over Model Distillation Accusations and Investment Restrictions

Gate News message, April 24 — China has rejected U.S. accusations that its tech giants are exploiting American AI technology through industrial-scale distillation, as both countries set up for a major collision over AI development and investment control. The Trump administration is preparing to

GateNews2h ago

Alphabet to Invest Up to $40 Billion in Anthropic, Boosting AI Competition

Gate News message, April 24 — Alphabet, Google's parent company, plans to invest up to $40 billion in AI developer Anthropic, comprising $10 billion upfront and $30 billion in additional funding contingent on achieving certain performance milestones. This investment follows Alphabet's previous 14% s

GateNews4h ago

Swiss Regulator FINMA Warns That Anthropic's Mythos AI Tool Poses Financial Risk

Gate News message, April 24 — Switzerland's Financial Market Supervisory Authority (FINMA) has stated that allowing banks to rapidly and conveniently adopt Anthropic's artificial intelligence tool Mythos would pose serious risks to the

GateNews4h ago

DeepSeek V4 Launches with 1M Context Window; Huawei Ascend and Cambricon Chips Achieve Full Compatibility

Gate News message, April 24 — DeepSeek V4-Pro and DeepSeek V4-Flash were officially released and open-sourced on April 24, with context processing length significantly expanded from 128K to 1M, representing nearly a 10-fold capacity increase. Huawei Computing announced that its Ascend supernode

GateNews5h ago

Fere AI Completes $1.3M Funding Round Led by Ethereal Ventures

Gate News message, April 24 — Fere AI, an AI-powered digital asset trading agent platform, announced the completion of a $1.3 million funding round led by Ethereal Ventures, with Galaxy Vision Hill and Kosmos Ventures participating. The platform supports cross-chain networks including Ethereum,

GateNews6h ago
Comment
0/400
No comments