Clean up

woodthom2 · woodthom2 · commit a1aa2918d310 · 2024-10-10T12:24:56.000+01:00
diff --git a/content/en/data-harmonisation-biopharma.md b/content/en/data-harmonisation-biopharma.md
@@ -13,7 +13,6 @@ url: "/data-harmonisation/data-harmonisation-in-biopharma/"
 
 
 # Harmonising Data in Biopharma
-{{< image src="/images/Harmonising Data in Biopharma.webp" alt="Harmonising Data in Biopharma" title="Harmonising Data in Biopharma" >}}
 
 In the biopharmaceutical sector, the collection and analysis of data from diverse sources: [clinical trials](https://clinicaltrialrisk.org/), real-world evidence (RWE), patient registries, and more—are fundamental to drug development, regulatory approval, and post-market surveillance. However, data from these sources often vary in format, nomenclature, and measurement standards, making it challenging to aggregate and analyse them effectively. [Data harmonisation](/data-harmonisation/) addresses these challenges by standardising disparate data for seamless integration, analysis, and interpretation.
 

Original file line number	Diff line number	Diff line change
`@@ -13,7 +13,6 @@ url: "/data-harmonisation/data-harmonisation-in-biopharma/"`
`13`	`13`
`14`	`14`
`15`	`15`	`# Harmonising Data in Biopharma`
`16`		`-{{< image src="/images/Harmonising Data in Biopharma.webp" alt="Harmonising Data in Biopharma" title="Harmonising Data in Biopharma" >}}`
`17`	`16`
`18`	`17`	In the biopharmaceutical sector, the collection and analysis of data from diverse sources: [clinical trials](https://clinicaltrialrisk.org/), real-world evidence (RWE), patient registries, and more—are fundamental to drug development, regulatory approval, and post-market surveillance. However, data from these sources often vary in format, nomenclature, and measurement standards, making it challenging to aggregate and analyse them effectively. [Data harmonisation](/data-harmonisation/) addresses these challenges by standardising disparate data for seamless integration, analysis, and interpretation.
`19`	`18`