C
CrossRead/scholion
Local health insights for patients and clinicians
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
官方说明Local health insights for patients and clinicians. Connect lab trends, genetics, prescriptions and wearable data — on your computer. Web, CLI, MCP and Ouroboros.
安装与配置
取自该仓库的安装命令
pip install scholion
解析自我们于 2026-11-06 抓取的该仓库 README;我们未执行过。
这条是仓库自己写的安装方式,不是 MCP 客户端配置,所以不生成 JSON。
配置项的键名以你的客户端为准:客户端与 CLI
- ★ 数取值
- 4 ★ · CrossRead/scholion · 取自 GitHub 搜索 API · (2026-11-13 20:00:50 核对)
- 来源明细
- 从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
- 收录与活跃
- 收录于 2026-11-07 · 最近见到 2026-11-14 · 共见到 8 次 · 被 1 个来源列出
- 评分构成
- 综合分 103 · 4 ★ · 1 个来源 · repo
- 安装
pip install scholion
常见问题(答案都来自我们的记录)
怎么安装?
该仓库给出的安装命令是
pip install scholion。我们的记录里它是仓库自己提供的;不保证在你的客户端上直接可用。它适合谁 / 用来做什么?
我们把它归在这些标签下: 开源项目。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库
CrossRead/scholion;我们收录于 2026-11-07;最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。# Scholion
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
Understand changes in your health by reading the evidence together.
Scholion connects laboratory history, a person's genome, prescriptions and wearable
measurements in one local workspace. It helps a patient see what deserves attention
and helps a clinician review the facts behind a question: what changed, which
mechanisms may be relevant, and what the available data can actually support.
Use the local web application, the command line, or an assistant connected through
MCP, a skill or an Ouroboros plugin. They share the same analysis core and selected
profile. English and Russian interfaces are included.
Current source version: 0.7.7. See published releases
and PyPI for the version available to install.
Scholion is not a medical device, does not diagnose and does not change treatment.
English presentation
· Russian presentation
· For clinicians
· Changes and update instructions
## Sixty seconds: try the demo
Start with a fictional person. No genome, medical record or Scholion account is
required:
bash
pip install scholion
scholion init --demo
scholion overview
scholion limits
scholion phenoage --panels
To open the same profile in the local web application:
bash
scholion serve
Open the address printed in the terminal; the default is
http://127.0.0.1:1521. The demo includes incomplete data so
that you can also see how an unavailable calculation is explained.
Use an empty data directory for your first demo. When you add a real observation
to a demo profile, Scholion removes the marked synthetic history before saving
your data; fictional and real records must not be mixed. This does not erase an
ordinary real profile. scholion demo is the alternative that builds a demo in a
separate directory and prints how to open it.
## Why
A laboratory result answers one question at one moment. A useful review also asks
how it relates to earlier results, the treatment timeline, known genetic findings
and everyday observations. Those records often live in different files and use
different dates, units and names.
Scholion brings them into a source-labelled history and organises the review by
body system. Its core computes facts, comparisons and qualified findings without a
language model. An optional assistant can explain those results and help prepare
questions for the treating clinician.
## What you can do
| For a patient | For a clinician |
| See which body systems deserve attention and follow annual direction | Review dated values, meaningful changes and their supporting records |
| Keep manual measurements and wearable observations in one history | Compare applicable genetic findings with the person's laboratory results |
| Record symptoms, everyday function and tolerability alongside measurements | Distinguish reported response, measured change and an unproven treatment explanation |
| Understand the purpose and limits of a clinical estimate | Inspect the method, required inputs, applicability and original sources |
| Prepare a focused visit brief | Open the relevant systems and gene panels without a full catalogue dump |
| Retain access through a local application or an assistant | Use separate containers for different people, with explicit selection |
Scholion connects laboratory history, a person's genome, prescriptions and wearable
measurements in one local workspace. It helps a patient see what deserves attention
and helps a clinician review the facts behind a question: what changed, which
mechanisms may be relevant, and what the available data can actually support.
Use the local web application, the command line, or an assistant connected through
MCP, a skill or an Ouroboros plugin. They share the same analysis core and selected
profile. English and Russian interfaces are included.
Current source version: 0.7.7. See published releases
and PyPI for the version available to install.
Scholion is not a medical device, does not diagnose and does not change treatment.
English presentation
· Russian presentation
· For clinicians
· Changes and update instructions
## Sixty seconds: try the demo
Start with a fictional person. No genome, medical record or Scholion account is
required:
bash
pip install scholion
scholion init --demo
scholion overview
scholion limits
scholion phenoage --panels
To open the same profile in the local web application:
bash
scholion serve
Open the address printed in the terminal; the default is
http://127.0.0.1:1521. The demo includes incomplete data so
that you can also see how an unavailable calculation is explained.
Use an empty data directory for your first demo. When you add a real observation
to a demo profile, Scholion removes the marked synthetic history before saving
your data; fictional and real records must not be mixed. This does not erase an
ordinary real profile. scholion demo is the alternative that builds a demo in a
separate directory and prints how to open it.
## Why
A laboratory result answers one question at one moment. A useful review also asks
how it relates to earlier results, the treatment timeline, known genetic findings
and everyday observations. Those records often live in different files and use
different dates, units and names.
Scholion brings them into a source-labelled history and organises the review by
body system. Its core computes facts, comparisons and qualified findings without a
language model. An optional assistant can explain those results and help prepare
questions for the treating clinician.
## What you can do
| For a patient | For a clinician |
| See which body systems deserve attention and follow annual direction | Review dated values, meaningful changes and their supporting records |
| Keep manual measurements and wearable observations in one history | Compare applicable genetic findings with the person's laboratory results |
| Record symptoms, everyday function and tolerability alongside measurements | Distinguish reported response, measured change and an unproven treatment explanation |
| Understand the purpose and limits of a clinical estimate | Inspect the method, required inputs, applicability and original sources |
| Prepare a focused visit brief | Open the relevant systems and gene panels without a full catalogue dump |
| Retain access through a local application or an assistant | Use separate containers for different people, with explicit selection |
收录徽章(可选)
想把收录标记放进 README 就复制这行,可选,不影响收录。
[](https://anclum.com/zh/s/crossread-scholion/)
- 来源
- github · https://github.com/CrossRead/scholion
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