Update README.md

Extending go/hai-def catalog with MedASR.

README.md

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   * **RecurrentGemma** is a family of open language models built on a novel recurrent architecture developed at Google  
   * **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
+  * [**MedGemma**](https://huggingface.co/collections/google/medgemma-release-680aade845f90bec6a3f60c4) A collection of open models for medical image and text comprehension to accelerate building healthcare-based AI applications
+  * [**MedASR**](https://huggingface.co/google/medasr) A lightweight automatic speech recognition model pre-trained for medical context.
   * [**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
-  * **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
+  * [**TxGemma**](https://huggingface.co/collections/google/txgemma-release-67dd92e931c857d15e4d1e87) A collection of open models to accelerate the development of therapeutics
+  * **HeAR** ([TensorFlow](https://huggingface.co/google/hear), [PyTorch](https://huggingface.co/google/hear-pytorch)) An embedding model for efficiently building AI related to audio originating from the respiratory system
+  * [**Path Foundation**](https://huggingface.co/google/path-foundation) An 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))