Transform healthcare research and clinical workflows with collaborative data pipelines, AI-powered diagnostics, and compliant live apps. From medical imaging to drug discovery, accelerate innovation with reproducible environments and cost-efficient GPU computing.
Healthcare institutions struggle to deploy medical AI models to production. MINEO's Live Apps platform enables your data scientists to deploy Streamlit clinical dashboards, Gradio diagnostic interfaces, and FastAPI medical services instantly.
Transform complex Python notebooks into production-ready applications that clinicians, researchers, and public health officials can access through web interfaces - no DevOps complexity required.
Create collaborative medical data workflows with automated HIPAA compliance, real-time monitoring, and seamless integration with EHR systems, PACS, and clinical databases for streamlined healthcare operations.
Enable cross-functional healthcare teams to work together on clinical studies, drug discovery, and diagnostic development with shared notebooks, version control, and real-time collaboration tools.
Transform research notebooks into production-ready Streamlit dashboards, Gradio diagnostic interfaces, and FastAPI services with one-click deployment, maintaining FDA compliance and audit trails.
Leverage high-performance GPU computing for medical AI, deep learning, and complex simulations while maintaining HIPAA compliance, frozen environments for reproducibility, and cost-efficient variable pricing.
Real examples of scalable data pipelines, GPU-accelerated research, and live clinical apps with HIPAA compliance and cost-efficient computing
Build collaborative medical imaging workflows with GPU acceleration. Teams process thousands of radiology scans, deploy AI diagnostic models, and maintain frozen environments for reproducible results at variable costs.
Scale pharmaceutical research with collaborative notebooks and GPU-accelerated molecular modeling. Multi-team pipelines for compound screening, shared environments for reproducibility, and live apps for stakeholder engagement.
Scale healthcare operations with collaborative EHR pipelines. Teams integrate multi-system patient data, deploy real-time analytics apps, and leverage GPU computing for large-scale population health analysis.
Built with:
Accelerate precision medicine with collaborative genomics pipelines and GPU computing. Research teams process massive datasets, deploy personalized medicine apps, and maintain reproducible environments for regulatory compliance.
Built with:
Transform public health response with collaborative modeling pipelines and GPU acceleration. Multi-agency teams simulate disease spread scenarios, deploy real-time monitoring apps, and scale interventions efficiently.
Scale healthcare AI with collaborative development pipelines. Teams build and deploy medical LLMs with GPU acceleration, maintain compliance through frozen environments, and optimize costs with variable computing.
Built with:
Transform healthcare predictions with collaborative ML pipelines and GPU acceleration. Multi-disciplinary teams build predictive models, deploy real-time risk assessment apps, and maintain reproducible environments for regulatory compliance.
Built with:
Scale medical research with collaborative NLP pipelines and GPU computing. Research teams process vast literature databases, deploy insight discovery apps, and maintain reproducible environments for systematic reviews.
Built with:
MINEO creates a collaborative environment where data scientists and healthcare professionals work together seamlessly
Transform notebooks into Streamlit apps, Gradio interfaces, or FastAPI services instantly
Use your favorite frameworks - Streamlit, Gradio, FastAPI - with HIPAA compliance built-in
Get instant feedback from clinicians to refine medical models
Access sophisticated medical models through intuitive interfaces
Get clinical explanations and recommendations in plain language
Make clinical decisions backed by real-time data analysis
Enable a collaborative healthcare culture where technical expertise and clinical insight drive better patient outcomes together.
Primary (60% usage): Gradio for diagnostic AI interfaces and clinical decision support tools
Secondary (30% usage): Streamlit for patient monitoring and EHR dashboards
Also supported: Panel (medical imaging), Dash (clinical trials), Voilà (patient reports), Jupyter Widgets (research), Bokeh Server (genomics), HoloViz (3D medical viz)
See MINEO in action. Explore real data apps built with MINEO and get inspired by how the platform can be used to transform complex Python notebooks into interactive applications across different industries.
Explore All Data Apps
MINEO is trusted by data scientists, engineers, and organizations worldwide.
It is super powerful. You can create all the BI you need using Python directly as if it were a Jupyter Notebook but with a much better presentation. You can create super visual and useful panels using Python and present them as production panels to display your data.
Tech Lead, Data Truth
Great platform for working and collaborating with Python Notebooks
Operations Director
MINEO has the features of Power Bi and Google Colab, all in one. I have been working with MINEO for more than a year. I have been able to perfectly carry out both data analysis and visualisation projects, as well as more advanced data science projects.
Data Scientist, MIOTI
Great platform to build dashboards and data apps over Python Notebooks. MINEO Assistant is a truly game changer!
CTO, Perif.ai
Excellent platform combining Google Colab with great data visualization and analytics
Senior Deep Learning Scientist
An alternative to PowerBI and Google Colab combined into one unique tool.
Software designer and developer
GREAT Data Analytics and Data Visualization in an online collaborative platform!
Full Stack Engineer, Unlimiteck
Your All-in-One Tool for Data Science Projects. I have now been using MINEO for almost a year, and I can confidently say it has transformed the way I approach data science projects.
Data Scientist
Easy interface to create a dashboard with Python code (Pandas, Matplotlib, etc.). The distribution of modules is seamless, without the limitations of libraries like Dash.
Biomedical research engineer
Empower your entire healthcare organization with data apps that bridge the gap between data science and clinical decisions
