Department of Life and Health Sciences, University of L’Aquila, 67100 L’Aquila, Italy
 Mini Review   
								
																Informatics Tools Enhancing Tumor Classification and Diagnosis 
																Author(s): Maggio Scarselli*             
								
																
						 In the rapidly evolving field of oncology, the accurate classification and diagnosis of tumors are pivotal for effective treatment planning and patient 
  outcomes. Informatics tools have emerged as transformative assets in enhancing tumor classification and diagnosis, leveraging advanced 
  technologies such as machine learning, artificial intelligence, and big data analytics. This manuscript explores the role of these informatics tools in 
  revolutionizing tumor classification and diagnosis by improving accuracy, efficiency, and personalization in clinical practice. By integrating largescale 
  data from various sources, including genomic, histopathological, and imaging data, these tools facilitate a more nuanced understanding of 
  tumor biology and enable more precise treatment strategies. The manuscript discusses the impact of informatics tools on the current diagnostic 
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																DOI:
								10.37421/2157-7420.2024.15.539															  
Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report