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.
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.
What if we contributed to Wikipedia instead of publishing papers?
An unhinged essay that I have finally put together!
#Academia #Publishing #Wikipedia #Research #academicWriting
https://pcnmartin.substack.com/p/what-if-we-contributed-to-wikipedia
I will be looking forward to reading this one in depth!
A cell's transcriptomic signature depends on its neighbors! Great work lead by Hyobin Kim from the Won Lab at Cedars-Sinai, LA
Out now in Molecular Systems Biology
https://embopress.org/doi/full/10.15252/msb.202311670