SI files for "Addressing Hemolysis-Induced Loss of Sensitivity in Lateral Flow Assays of Blood Samples with Platinum-Coated Gold Nanoparticles and Machine Learning"

1) Model_training_and_validation.ipynb: Jupyter Notebook containing Python code for training, tuning, and validating the machine learning model, including hyperparameter optimization and performance evaluation.2) Model_testing.ipynb: Jupyter Notebook containing Python code for generate predictions for the 112 test strips3) Best_model.keras: The final optimized machine learning model saved in Keras format.4) Training_dataset.zip: Dataset used for model training, containing images of positive and negative antigen test strips.5) Human_perception_study.docx: Complete report summarizing the human visual detection experiment, including study design, data analysis, and results.