Update README.md

- Introducing MedASR and MedSigLIP;
- Removing CXR Foundation and Derm Foundation since they are legacy now. New users are advised to use MedSigLIP instead.

README.md

@@ -22,11 +22,11 @@ pinned: false
   * **ShieldGemma** is a series of safety content moderation models built upon Gemma 2 that target four harm categories
 * [**Health AI Developer Foundations**](https://huggingface.co/collections/google/health-ai-developer-foundations-hai-def-6744dc060bc19b6cf631bb0f)
   * [**MedGemma**](https://huggingface.co/collections/google/medgemma-release-680aade845f90bec6a3f60c4) collection of open models for medical image and text comprehension to accelerate building healthcare-based AI applications
+  * [**MedASR**](https://huggingface.co/google/medasr) A foundational speech-to-text model pre-trained on clinical audio. 
+  * [**MedSigLIP**](https://huggingface.co/google/medsiglip-448) MedGemma's vision encoder; can be used like other embedding models for predictive tasks. 
   * [**TxGemma**](https://huggingface.co/collections/google/txgemma-release-67dd92e931c857d15e4d1e87) collection of open models to accelerate the development of therapeutics
-  * [**CXR Foundation**](https://huggingface.co/google/cxr-foundation) embedding model for efficiently building AI for chest X-ray applications
-  * [**Path Foundation**](https://huggingface.co/google/path-foundation) embedding model for efficiently building AI for histopathology applications
-  * [**Derm Foundation**](https://huggingface.co/google/derm-foundation) embedding model for efficiently building AI for skin imaging applications
   * **HeAR** ([TensorFlow](https://huggingface.co/google/hear), [PyTorch](https://huggingface.co/google/hear-pytorch)) embedding model for efficiently building AI related to audio originating from the respiratory system
+  * [**Path Foundation**](https://huggingface.co/google/path-foundation) embedding model for efficiently building AI for histopathology applications
 * **[**BERT**](https://huggingface.co/collections/google/bert-release-64ff5e7a4be99045d1896dbc), [**T5**](https://huggingface.co/collections/google/t5-release-65005e7c520f8d7b4d037918), and [**TimesFM**](https://github.com/google-research/timesfm) Model Families**
 * **Author ML models with [**MaxText**](https://github.com/google/maxtext), [**JAX**](https://github.com/google/jax), [**Keras**](https://github.com/keras-team/keras), [**Tensorflow**](https://github.com/tensorflow/tensorflow), and [**PyTorch/XLA**](https://github.com/pytorch/xla)**
 * **[**SynthID**](https://deepmind.google/technologies/synthid/)** is a Google DeepMind technology that watermarks and identifies AI-generated content ([🤗 Space](https://huggingface.co/spaces/google/synthid-text))