diff --git a/docs/index.rst b/docs/index.rst
index f3cd20afb..64041183d 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -147,7 +147,7 @@ Quick Navigation
 
      - **Research Initiative**
 
-       Join our summer research program and contribute
+       Join our year round research program and contribute
 
        :doc:`View Projects → <research_initiative>`
 
diff --git a/docs/why_pyhealth.rst b/docs/why_pyhealth.rst
index 7f90e4e9b..4ecfe031d 100644
--- a/docs/why_pyhealth.rst
+++ b/docs/why_pyhealth.rst
@@ -11,33 +11,6 @@ PyHealth is the comprehensive Python library for healthcare AI that makes buildi
 .. note::
    📄 **Read the PyHealth 2.0 paper**: `PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning <https://arxiv.org/pdf/2601.16414>`_
 
-Performance Benchmarks
-=======================
-
-PyHealth 2.0 delivers exceptional performance that makes healthcare AI research accessible on standard hardware:
-
-**Breakthrough speed improvements:**
-
-- **Up to 39× faster** task processing compared to typical pandas-based approaches
-- Dramatically reduced processing time for common clinical prediction tasks
-- Optimized data loaders with smart caching and lazy evaluation
-- Efficient multi-core scaling without memory overflow
-
-**Memory efficiency:**
-
-- **Dynamically scales to fit consumer-grade hardware** (16GB laptops)
-- Handles large-scale datasets like MIMIC-IV without requiring workstation-grade resources
-- Intelligent memory management adapts to available system resources
-- Enables research on complex healthcare datasets without expensive infrastructure
-
-.. image:: ../figure/PyHealthPerformanceResults.drawio.png
-   :alt: PyHealth 2.0 performance benchmarks showing speed and memory efficiency
-   :align: center
-   :width: 700px
-
-.. note::
-   **What this means for researchers:** PyHealth 2.0 enables you to run sophisticated healthcare AI analyses on a standard laptop that previously required high-end workstations. The platform adapts to your available resources while maintaining high performance.
-
 ----
 
 What Makes PyHealth 2.0 Powerful?
@@ -331,13 +304,15 @@ Join our active healthcare AI community:
 - **Support**: Active Discord community and GitHub discussions - `Join our Discord <https://discord.gg/mpb835EHaX>`_
 
 Get Started Today
-=================
+===========
+
+Ready to begin? Explore these key resources:
 
-Ready to build your first healthcare AI application? See the resources below:
+- :doc:`how_to_get_started` — Quickstart guide
+- :doc:`install` — Install PyHealth
+- :doc:`tutorials` — Interactive tutorials
+- :doc:`api/models` — Model API docs
+- :doc:`api/datasets` — Datasets
+- :doc:`api/tasks` — Tasks
 
-- :doc:`how_to_get_started` - Build your first model in minutes
-- :doc:`install` - Detailed installation instructions
-- :doc:`tutorials` - Interactive tutorials and examples
-- :doc:`api/models` - Complete API documentation
-- :doc:`api/datasets` - Available datasets
-- :doc:`api/tasks` - Pre-defined tasks
\ No newline at end of file
+Jump in with the guides above, or use the navigation on the left for more.
\ No newline at end of file