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Risk Factors for Thyroid Cancer, a Systematic Review

Thyroid cancer accounted for 1 out of every 20 female cancer diagnoses worldwide in 2018; the etiology of this disease is not well understood, and preventive programs are not established.  It is well known that thyroid cancer incidence has been increasing since the 1980s, largely attributed to the increase in diagnosis of papillary thyroid cancer and

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FatPlants: A Comprehensive Website Platform of Plant Fat Related Genes, Proteins and Metabolism

Increasing seed oil content by plant breeding has resulted in trade-offs or penalties with respect to protein content, seed size, or seed set. The molecular basis for this impasse is mostly speculative. Use of current global profiling approaches to better understand both the metabolic consequences of higher oil and the basis for reduced yield must

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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 other elements to describe a cancer case require cancer registries to capture data from a

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Development of A Blockchain Framework for Virtual Clinical Trials

Clinical trials are essential for discovering new treatments, but there are multiple challenges to patient recruitment, patient engagement, and cost containment. Virtual clinical trials (VCT) are an innovative approach that provides potential solutions by conducting home-based, rather than site-based, clinical trials. Virtual clinical trials are still the exception rather than general practice due to technical

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Identifying Patient-specific Flow of Signal Transduction Perturbed by Multiple Single-nucleotide Alterations

Background: Identifying patient-specific flow of signal transduction perturbed by multiple single-nucleotide alterations is critical for improving patient outcomes in cancer cases. However, accurate estimation of mutational effects at the pathway level for such patients remains an open problem. While probabilistic pathway topology methods are gaining interest among the scientific community, the overwhelming majority do not account

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Analysis of Healthy Coping Feedback Messages from Diabetes Mobile Apps

To analyze Healthy Coping-related feedback messages from diabetes mobile apps against the theoretical framework based on behavioral change theories. We searched apps using the search terms: “diabetes,” “blood sugar,” “glucose,” and “mood” from iTunes and Google Play stores. We entered a range of values on three Healthy Coping domains: 1) diabetes-related measures, 2) physical exercise/activity,

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Data-Driven Patients Stratification and Drug Repositioning

Cancer is a heterogeneous disease and represents a great example of the need for selecting patient-centric rather than disease-centric treatment. De novo drug discovery is a time-consuming and high-cost process with a low success rate. Drug repositioning (DR) reduces the time, cost, and risk of developing new drugs because it recommends new uses for drugs

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NSF Scholarship for Service Fellowships in Security

nformatics Core Faculty Dr. Dan Lin received $3.6M from the National Science Foundation. This project is to promote cybersecurity research and education. The program offers scholarships which fully cover tuition and fees, provides $34,000 annual stipend and additional $9,000 funding for equipment, travel and professional development. In total, the program will train 16 students with a 3-year

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Dr. DeSouza Appointed to Associate Editor Position for IEEE Transactions on Artificial Intelligence

Dr. Gui DeSouza, MUIDSI core faculty member and co-leader of the Data-Driven Ag Initiative, has been appointed as an associate editor to the new journal IEEE Transactions on Artificial Intelligence. The Institute of Electrical and Electronics Engineers plans to launch the journal next month. It’s a joint publication among several IEEE societies, with IEEE’s Computational Intelligence Society

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Data Analytics Using the Cerner Real-world COVID-19 Data to Answer Clinical Questions

Cerner Real World data allows researchers and data scientists to explore clinical data via HealtheDataLab. Recently, Cerner granted many of their client institutions access to de-identified patient’s data for COVID-19 research to help fight the pandemic.  The de-identified patient data was dataset contains COVID-19 related encounters, demographics, chronic conditions, medication, and lab results. This large-scale

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