Update README.md

README.md

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 ## Model Description
 
-Existing medical VLMs often struggle to balance broad semantic understanding with fine-grained diagnostic cues. ACE-LoRA bridges this gap by adding only **$0.95M$** trainable parameters to frozen image-text encoders.
+Existing medical VLMs often struggle to balance broad semantic understanding with fine-grained diagnostic cues. ACE-LoRA bridges this gap by adding only **0.95M** trainable parameters to frozen image-text encoders.
 
 ### Key Features:
 * **ACE-HGNN Module:** Captures higher-order contextual interactions beyond pairwise similarity, enriching global representations with localized diagnostic details.