Update README.md

README.md

@@ -90,7 +90,7 @@ This model should not be used in a clinical setting to generate predictions that
 
 ### Limitations
 
-- The model has not been validated to discriminate lung adenocarcinoma vs. squamous cell carcinoma in contexts where other tumor types are possible (such as lung small cell carcinoma, neuroendocrine tumors, metastatic deposits, etc.)
+The model has not been validated to discriminate lung adenocarcinoma vs. squamous cell carcinoma in contexts where other tumor types are possible (such as lung small cell carcinoma, neuroendocrine tumors, metastatic deposits, etc.)
 
 ### Bias
 This model was trained on The Cancer Genome Atlas (TCGA), which contains patient data from communities and cultures which may not reflect the general population. This datasets is comprised of images from multiple institutions, which may introduce a potential source of bias from site-specific batch effects ([Howard, 2021](https://www.nature.com/articles/s41467-021-24698-1)). The model was validated on data from the Clinical Proteomics Tumor Analysis Consortium (CPTAC) and an institutional dataset from Mayo Clinic, the latter of which consists primarily of data from patients of white and western cultures.