Update README.md

README.md

@@ -36,11 +36,11 @@ library_name: timm
 
 <img src="patho_bench_public.png" alt="Patho-Bench" style="width: 38%;" align="right"/>
 
-**Patho-Bench is designed for high-throughput evaluations of patch and slide encoder foundation models for whole-slide images (WSIs).** 
+**Patho-Bench is designed to evaluate patch and slide encoder foundation models for whole-slide images (WSIs).** 
 
 This HuggingFace repository contains the data splits for the public Patho-Bench tasks. Please visit our codebase on [GitHub](https://github.com/mahmoodlab/Patho-Bench) for the full codebase and benchmark implementation.
 
-This project was developed by the [Mahmood Lab](https://faisal.ai/) at Harvard Medical School and Brigham and Women's Hospital.
+This project was developed by the [Mahmood Lab](https://faisal.ai/) at Harvard Medical School and Brigham and Women's Hospital. This work was funded by NIH NIGMS R35GM138216.
 
 > [!NOTE]
 > Contributions are welcome! If you'd like to submit a new dataset and/or task for inclusion in Patho-Bench, please reach out to us via the [Issues](https://github.com/mahmoodlab/Patho-Bench/issues) tab of our Github repo.
@@ -57,7 +57,7 @@ Currently, Patho-Bench contains the following task families. We will add more ta
 | **Survival Prediction**                  | Predicting survival outcomes and risk stratification                                | 6        |
 
 ## 🔥 Latest updates
-- **January 2025**: Patho-Bench is now available on HuggingFace.
+- **February 2025**: Patho-Bench is now available on HuggingFace.
 
 ## ⚡ Installation
 Install the required packages: