We aim to demonstrate the power of applied algorithms for healthcare applications such as algorithmic approaches for targeted cancer treatments, radiomic approaches for faster COVID-19 diagnostics, scalable tSNE and UMAP for cancer cell analysis, continual learning for landmark classification in medical imaging, arrythmia classification from wearable data, and algorithms for stroke prediction in heart failure patients with mechanical circulatory support.