NotebookPipeline
Weekly cohort reports on autopilot
Build the cohort analysis once in a collaborative notebook, then schedule it as a pipeline so the weekly review lands in your program lead's inbox every Monday.
Talk to your cohort, program and clinical data, build models in collaborative notebooks, deploy internal tools and automate recurring checks — all from one platform connected to the systems your team already trusts.
See how it worksAsk your patient, program and clinical data in plain language
Internal apps for program leads, clinical ops and analytics teams
Schedule adherence reviews, data refreshes and recurring reports
From asking a question to shipping an internal app, MINEO covers the full journey — connected to the data your healthcare team already trusts.
Connect any datasource — cohorts, programs, trials, clinical systems, registries — and start asking questions in natural language. Threads auto-generates SQL, runs code, and delivers answers with interactive charts and tables. Build custom AI assistants with the model of your choice.
Threads · Cohort analysis { "tool": "care-platform-mcp", "action": "create_task", "summary": "Schedule outreach reminders for the affected patients" }
via care-platform-mcp · just now
More than Jupyter. MINEO Notebooks combine code, AI assistant cells, interactive widgets and visual tools in one collaborative environment. Perfect for data scientists, clinical analysts and program teams — write Python, explore cohorts, and deploy as live apps from the same notebook.
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Compare adherence across sites and intervention groups.
df = mineo.query("SELECT site, AVG(adherence) FROM programs GROUP BY site")
px.line(df, x="cohort", y="adherence_rate", color="site")
Key insight: North America drives 43% of total revenue. APAC showed the strongest growth at +23% QoQ, driven by expansion in Japan and Australia.
df.sort_values("revenue", ascending=False).head()
| Region | Revenue | Growth |
|---|---|---|
| North America | $1.8M | +12% |
| Europe | $1.1M | +8% |
| APAC | $820K | +23% |
| LATAM | $480K | -3% |
Turn notebooks into always-on dashboards and interactive applications for clinical operations, program leads and research teams. Deploy with Streamlit, Gradio, Dash and 6+ more frameworks. Custom domains, white-label branding and embeddable visualizations — ready for your stakeholders.
Mineo · Clinical overview Last updated: 2 minutes ago
Active patients
1,248
+6% vs Q3
Adherence rate
78%
+3pp vs Q3
Open exceptions
37
-9% vs Q3
| Customer | Region | Revenue | Status |
|---|---|---|---|
| Acme Corp | NA | $245K | Active |
| TechFlow GmbH | EU | $182K | Active |
| Sakura Ltd | APAC | $156K | Pending |
| DataBr SA | LATAM | $98K | Active |
A complete Linux development environment accessible from your browser. Install any package, any tool — Claude Code, Codex, Gemini CLI. Build your clinical models with the libraries you trust, connect to your datasources and collaborate with your team. No local setup required.
VS Code — Dev Environment Explorer
import streamlit as st
from mineo import DataSource
import plotly.express as px
st.set_page_config(layout="wide")
st.title("Program Dashboard")
ds = DataSource("clinical_db")
df = ds.query("SELECT * FROM programs")
# Layout
col1, col2 = st.columns(2)
col1.metric("Adherence", f"{df.adherence.mean():.1%}")
col2.metric("Patients", f"{df.patient_id.nunique():,}")
# Charts
fig = px.line(df, x="cohort", y="adherence", color="site")
st.plotly_chart(fig, use_container_width=True)
mineo-dev@workspace:~/project$
Successfully installed plotly-5.22 scikit-learn-1.5
Your app is live at https://programs.mineo.app
✓ Deployed successfully
Chain notebooks into production workflows. Schedule recurring runs with cron, trigger via REST API, and monitor execution in real time. From weekly cohort refreshes to adherence checks — build reliable workflows without infrastructure overhead.
/ Projects / clinical / Weekly cohort refresh Elements
Resource Config
Scheduling
API
The biggest unlocks come when MINEO's building blocks share the same logic — the same notebook becomes a weekly pipeline, an internal dashboard, or an answer in a Threads conversation.
Build the cohort analysis once in a collaborative notebook, then schedule it as a pipeline so the weekly review lands in your program lead's inbox every Monday.
Clinical analysts explore adherence conversationally with Threads while program leads see the same numbers in an always-on Live App dashboard.
Prototype the model in a Cloud Dev Environment, refine it in a notebook with the data team, and ship it as an internal Live App without rewriting.
Use MINEO to talk to your data, build models, deploy internal apps and automate recurring checks — all from the same workspace.