# Anthropic 发布专为科研设计的 Claude Science beta 版

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-07-01 05:19
- AIHOT 分数：65
- AIHOT 链接：https://aihot.virxact.com/items/cmr15w2vf0066slh4dcmmq1z2
- 原文链接：https://x.com/rohanpaul_ai/status/2072067569432076524

## AI 摘要

Anthropic 推出 Claude Science beta 版，整合 60 个科学数据库，支持代码追踪的 artifact（含环境、方法及完整消息历史），可渲染 3D 蛋白质、基因组轨迹、化学结构等。协调 agent 可调用专业 agent、实验室技能和计算资源（HPC 或 Modal），分析从 1 GPU 扩展至数百，数据保持本地。内置审稿 agent 自动检查计算、引用和图表与源代码一致性。早期用户报告：生成 10 份超 100 页的审稿草稿，种系分析时间降至十分之一。该工具属于 Anthropic 自 2025 年 10 月启动的生命科学与医疗健康计划。

## 正文

Anthropic unveils 'Claude Science' for scientific research.

Early users report 10 review drafts over 100 pages and germline analyses in one-tenth the time.

Its a beta tool featuring code-traced artifacts and access to 60 scientific databases. The launch is part of Anthropic's life sciences and healthcare initiative， which the IPO-bound Anthropic has been developing since October 2025.

The traditional scientific workflow forces scientists across databases， notebooks， R， terminals， viewers， and cluster queues.

Each switch broke context， added manual checking， and made results harder to reproduce months later.

Claude Science tries to move that whole loop into one running research session.

A coordinating agent can call specialist agents， lab skills， scientific databases， and compute resources.

The app renders 3D proteins， genome tracks， chemical structures， figures， manuscripts， and underlying code.

Every artifact includes its code， environment， plain-language method， and full message history.

So makes verification less dependent on memory and more dependent on inspectable execution traces.

- Claude Science can submit jobs to lab HPC systems or Modal compute.

- It can scale analysis from 1 GPU to hundreds while datasets stay local.

- The reviewer agent checks calculations， references， and figures against their source code.