The Leukemia Disease State Predictor is an advanced machine learning model designed to assist healthcare professionals in accurately diagnosing and classifying various subtypes of leukemia. By analyzing comprehensive genomic data, this tool enhances the precision and efficiency of leukemia diagnosis, facilitating timely and personalized treatment plans. Key Features and Functionality: - Multi-Class Classification: Utilizes sophisticated algorithms to differentiate between multiple leukemia subtypes, ensuring precise identification. - Integration with Amazon SageMaker: Leverages the robust capabilities of Amazon SageMaker for building, training, and deploying machine learning models, streamlining the diagnostic process. - Hyperparameter Optimization: Employs SageMaker's Hyperparameter Optimization to fine-tune model parameters, achieving an accuracy of 82% in cross-validation tests. Primary Value and User Benefits: The Leukemia Disease State Predictor addresses the critical need for accurate and rapid leukemia diagnosis. By automating the analysis of whole genome sequencing (WGS and whole transcriptome sequencing (WTS data, it reduces the time and potential for human error associated with manual interpretation. This leads to more reliable diagnoses, enabling healthcare providers to implement effective treatment strategies promptly, ultimately improving patient outcomes.