Introducing a
New Data Experience
A modern, collaborative analysis experience that integrates with your workflow to accelerate discovery in healthcare and life sciences.
A Clinical Data Mesh for Quality Improvement and Research in Healthcare
In this UCSD Campus LISA webinar, you will learn how you can utilize data mesh for healthcare. Panelists include: Mike Hogarth, Mark Mooney, and Tom Covington.
How Users Benefit from Tag.bio
Domain Experts
Domain experts parameterize, iterate and reproduce analyses on the fly with no waiting.
Discover:
Reduce the cost of curiosity
Data Scientists
Data scientists build analysis apps that guide a wide range of users through any data question.
Deliver:
Complete the last mile
Managers and C-Suite
Change the culture by giving domain experts agency over data and analyses.
Democratize:
Become a data-driven organization
Life Sciences
Analyze public and proprietary data and run iterative queries across multi-modal omics.
CASE STUDY
Iterative analysis allows faster discoveries
In the course of one evening in 2019, Dr. Radovich found three significant results from his own dataset in Thymoma (TCGA).
Milan Radovich, PhD,
Assoc. Prof. IU School of Medicine,
IU Health Vice President for Oncology Genomics,
Co-Director IUH Precision Genomics
ORIEN Network Scientific Committee Co-Chair
Healthcare
Improve quality of care and reduce costs by making sense of the complex data in the healthcare systems.
CASE STUDY
Enabling doctors to provide instant answers
“Having on demand information completely changes the culture. I can’t imagine doing my job without the Tag.bio platform.”
Jahan Fahimi, MD, PhD,
Associate Professor of Emergency Medicine,
Director of Value Improvement at UCSF Health
Useful terms for software architecture and user experience we commonly use at Tag.bio
You should be able to read this straight through, even though terms are presented in alphabetical order. Alternatively, you can jump arou...
Jun 15, 2020 / Read More
Tag.bio releases open source Java implementation of Uniform Manifold Approximation and Projection…
Developed in collaboration between San Francisco, California based Tag.bio and New Zealand based Real Time Genomics, the umap-java librar...
Jun 10, 2020 / Read More
A brief introduction to Useful Data Artifacts — and the next generation of data analysis systems
For starters, I’d like to acknowledge Josh Dunn for first using the term “Useful Data Artifacts” in a conversation over lunch at the Bost...
Jun 10, 2020 / Read More
Tips for treating your remote employees with more respect
I’m a co-founder at a San Francisco based startup, but I spend most of my time working from Brussels, so I find myself on both sides of t...
Jun 10, 2020 / Read More
An explanation of how Tag.bio is awesome in the most concise way I can think of at the moment
I’m the technical co-founder of Tag.bio, and the software platform we’ve built is my baby. So naturally, I’m biased—this 10-point overvie...
Jun 10, 2020 / Read More
Human intelligence in healthcare — the massive opportunity that lies between KPIs and AI
An outsider’s perspective on the status quo in healthcare data utilization.
Jun 10, 2020 / Read More
How to accelerate Pharma R&D by turning researchers into data scientists
Contrary to popular belief, data doesn’t create groundbreaking innovations by itself.
Jun 10, 2020 / Read More
Artificial intelligence is for optimization — human intelligence is for innovation
Artificial intelligence (AI) is proving to be a brilliant product of human innovation. It automates a wide variety of business processes ...
Jun 10, 2020 / Read More
Data analysis has a serious Last Mile problem
A quick and simple explanation of a very important issue.
Jun 10, 2020 / Read More
