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MU Institute for Data Science and Informatics

Established in 2008, MUIDSI has led the way in cutting edge informatics research and education.

Featured News

IDSI PhD student Will Baskett crunched EHR data, finding only a few long-haul symptoms directly related to COVID in comparison to generic viral infection

IDSI PhD student Will Baskett crunched EHR data, finding only a few long-haul symptoms directly related to COVID in comparison to generic viral infection

In a new study, a team of University of Missouri researchers made an unexpected discovery: people experiencing long-lasting effects…

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Two IDSI Core Faculty Elected as Fellow of AAAS

Dr. Xiu-Feng “Henry” Wan and Dr. Xiaoqin Zou were named as Fellows of the American Association for the Advancement…

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Featured Events

Seminar Series

Exploring the Role of social media in Health Information Dissemination: A Focus on Vaccine Equity and Health Insurance

Exploring the Role of social media in Health Information Dissemination: A Focus on Vaccine Equity and Health Insurance

Social media has increasingly become a popular platform for sharing and seeking health information. However, the credibility and usefulness…

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Tool Development for Resolving and Visualizing Heartbeats Measured by Cardiac Magnetic Resonance

Tool Development for Resolving and Visualizing Heartbeats Measured by Cardiac Magnetic Resonance

Atrial fibrillation (AFib) is the most common irregularity of heartbeats. It can cause significant symptoms and impair heart function….

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Speakers and Events

MUIDSI DISSERTATION DEFENSE – ACCELERATING DATA-DRIVEN DISCOVERY IN TYPE 1 DIABETES: AN INFORMATICS-BASED APPROACH

MUIDSI DISSERTATION DEFENSE – ACCELERATING DATA-DRIVEN DISCOVERY IN TYPE 1 DIABETES: AN INFORMATICS-BASED APPROACH

Type 1 diabetes (T1D) is a lifelong chronic disease characterized by the absolute or near-absolute loss of insulin. For…

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MUIDSI Dissertation Defense: IDENTIFICATION OF IMMUNE-RELATED GENE SIGNATURES TO EVALUATE IMMUNOTHARAPEUTIC RESPONSE IN CANCER PATIENTS USING EXPLORATORY SUBGROUP DISCOVERY

MUIDSI Dissertation Defense: IDENTIFICATION OF IMMUNE-RELATED GENE SIGNATURES TO EVALUATE IMMUNOTHARAPEUTIC RESPONSE IN CANCER PATIENTS USING EXPLORATORY SUBGROUP DISCOVERY

Phenotypic and genotypic heterogeneity are characteristic features of cancer patients. To tackle patients’ heterogeneity, immune checkpoint inhibitors (ICIs) represent…

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MU Institute for Data Science and Informatics (MU IDSI) launched a 5-year plan for Data-Driven Discovery research in four areas using emerging data science and informatics methods and technologies:

  1. Data-Driven Precision Medicine
  2. Data-Driven Agriculture
  3. Data-Driven Social and Behavioral Science
  4. Data-Driven Precision Rural and Population Health

Activities include journal clubs, colloquium series, ideas labs, and team building.