Science, World Building and Story telling. Always strive to contribute to others.
Research Data Scientist at Cedars-Sinai, Los Angeles
| @pcnmartin | |
| GitHub | https://github.com/patrickCNMartin |
| https://www.linkedin.com/in/patrick-martin-92511094/ |
Often working at the intersection of AI and Biology, I have developed a love-hate relationship with AI.
In this essay, I share some thoughts on the modern AI ecosystem. It’s not all doom and gloom but there is room for improvement.
Vesalius 2.0 is in Nat. Comms. !
We show how using spatial context improves cell-to-cell mapping across heterogenous spatial samples.
Thanks to the reviewers, editors, and collaborators for making this possible.
GitHub: https://github.com/WonLab-CS/Vesalius
Paper: https://www.nature.com/articles/s41467-025-62782-y
The Institute - Chapter II: Tipping Points.
A discussion on systems, complexity, and tipping points.
Getting structurally homogenous spatial samples is often challenging.
We developed a method to map the spatial context of cells between heterogenous samples gaining insights into development and patient sub-populations!
I might as well have make a pinned post.
We published Vesalius a tool that uses Image analysis methods to analyze spatial-omics data.
A new version will be coming soon that will include multimodal analysis and alignment!
GitHub: https://patrickcnmartin.github.io/Vesalius/
MSB: https://www.embopress.org/doi/full/10.15252/msb.202211080
Introducing The Institute: A fictional research institute which explores things I find interesting in the fields of philosophy, society, and science. Mainly science.
Chapter I: Reorganize the social network.
Introducing The Institute: A fictional research institute which explores things I find interesting in the fields of philosophy, society, and science. Mainly science.
Chapter I: Reorganize the social network.
An interesting read and initiative!
Yes - preprint are very common in my field but they come with their own set of challenges. They often serves as ways to say: I was here first! A lot of papers come half baked.
I guess that the challenge is providing a better alternative in practice rather than just a "good idea".
I will at least contribute to wikipedia summary pages.
What are your thoughts as to why they haven't taken off?
