Thyroid Cancer Informatics

Survival prediction is important both to clinicians and patients; ensuring the best course of treatment is selected to manage the thyroid cancer. In 2018, there was an estimated half a million new thyroid cancer diagnoses and 41,071 deaths. Unlike other tumors whose…

Building a Population-based Childhood Cancer Data Ecosystem: Challenges and Opportunities for Informatics and Data Science

Childhood cancer is a relatively rare disease diagnosed in over 16,000 U.S. children and adolescents (ages 0 – 19) each year.  While 84% of children with cancer survive 5 years or more, cancer remains the second leading cause of death in…

Elucidate the Genome Evolution of Eusocial Corbiculate Bees Using Parent-progeny Sequencing Approach

Understanding the evolution of eusociality, defined by distinct reproductive and nonreproductive castes, at the molecular level, has always been an essential and highly challenging topic of biology. Eusociality has evolved multiple times independently and involved many incremental steps, resulted in…

Cancer Surveillance Informatics – Missouri Cancer Registry and Research Center

Cancer surveillance has to be able to monitor trends of cancer cases, subtypes of cancer, and cancer clusters to inform cancer control and policies related to cancer and cancer care. The increasing complexity and depth of cancer care, treatment, and…

Artificial Intelligence Driven Framework for the Structurization of Free-Text Diagnostic Reports

Diagnosticians record, share, and store a wealth of data on patients, diseases, and biomedical processes in free-text diagnostic reports. To continue providing advanced biomedical services, healthcare organizations should efficiently and effectively perform complex data management, aggregate data resources, and ensure…

New Algorithmic Strategies to Forecasting Contagions

Abstract Can tweets be really used to track and forecast an epidemic outbreak? Can we monitor a handful of individuals in a city or a social network to forecast virality? The problems we focus on occur in diverse areas: social…

Applied AI in CDSS in Medicine: A Systematic Review

Objective: Clinical decision support systems (CDSS) are continuously developing to solve medical problems and try to improve healthcare management, which has shown a significant result in reducing medical errors and improving multiple healthcare processes. These days, artificial intelligence (AI) becomes more…