Welcome to DURABLE

At DURABLE, we are dedicated to advancing healthcare through innovative machine learning solutions. Our system is designed to automate data preprocessing and generate predictive outcomes for anti-cancer drug responses. By integrating the central dogma of molecular biology into an algorithmic framework, we provide a robust and stable method for predicting drug efficacy. Our approach maintains computational efficiency, making it adaptable to a wide range of conditions and significantly reducing the required computational resources.

Inspired by a personal connection to cancer and a lifelong passion for biology, our mission is to integrate algorithms with biological processes to make a meaningful impact. We aim to bridge the gap between theoretical research discoveries and practical algorithm applications, providing predictive models that can adapt to new data and insights.

DURABLE features two machine learning models:

- A supervised wide and deep model

- An unsupervised mini-batch-K-means model