Reproduce “LymphoML: An interpretable artificial intelligence-based method identifies morphologic features that correlate with lymphoma subtype” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Vivek Shankar, Xiaoli Yang, Vrishab Krishna, Brent Tan, Oscar Silva, Rebecca Rojansky, Andrew Ng, Fabiola Valvert and 5 more
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.