Our 3DTwin® Digital platform is a comprehensive data analysis tool that employs machine learning and data mining techniques to help unbiased and automated identification of effective therapies. With our AI-guided response analysis, drug developers and physicians can access a wealth of information and make data-driven decisions that ultimately lead to improved patient outcomes. Our platform is designed to be easy to use and user-friendly, with an intuitive interface that allows for quick and efficient access to drug-response data.
Our 3DTwin® Root drug knowledgebase is a crucial component of the 3DTwin platform. It is continuously updated with the latest research on drug-gene interactions and is designed to provide accurate and reliable information on which medications are most suitable for a given indication. Our team of experts carefully curates the drug datasets to ensure that it is up-to-date, accurate, and comprehensive. We use a variety of sources, including peer-reviewed research papers, clinical trial data, or drug labels, to ensure that the information we provide is reliable and trustworthy.
Introducing PreComb’s cutting-edge AI-driven data processing pipeline, designed to streamline the analysis of primary data from a diverse range of clinical and research partners. With the accumulation of more than 500’000 images from various cell sources and cancer indications, PreComb has developed a highly precise and robust analysis tool for image segmentation and generation of data insights. Our pipeline is powered by state-of-the-art AI technology that can automatically analyze incoming primary data in no time. By utilizing standardized data analysis techniques, our platform ensures that the drug response data is analyzed accurately and consistently, regardless of its origin.
With our comprehensive platform, research partners and clinicians can explore response data like never before, gaining deep insights into the efficacy of various drugs and treatments. Our data exploration interface allows to easily analyze response data, check reference drug efficacies, and compare results against response profiles generated at other sites or in different cancer indications. This powerful tool helps to make informed decisions and drive innovation, saving time and resources while delivering better patient outcomes.