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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

Published On: 02-01-2023 | Published In: Featured News, News,

In a new study, a team of University of Missouri researchers made an unexpected discovery: people experiencing long-lasting effects from COVID-19 — known as “long COVID” or post-COVID conditions — are susceptible to developing only seven health symptoms for up to a year following the infection. They are: fast-beating heart, hair loss, fatigue, chest pain,

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Two IDSI Core Faculty Elected as Fellow of AAAS

Published On: 02-01-2023 | Published In: Featured News, News,

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

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Featured Events

Seminar Series

<em>Uncovering CD137 Agonist’s Role in Cancer Immunoprotection via Interactive Multiomics Data Analytics and Visualization Porta</em>l
Uncovering CD137 Agonist’s Role in Cancer Immunoprotection via Interactive Multiomics Data Analytics and Visualization Portal
Presenter:

Pallav Singh

Date:

03-23-2023

Time:

4:00 PM-4:30 PM

Location:

S203 Memorial Union

A Semi-Supervised Approach to Unobtrusively Predict Abnormality in Breathing Patterns Using Hydraulic Bed Sensor Data in Older Adults Aging-in-place
A Semi-Supervised Approach to Unobtrusively Predict Abnormality in Breathing Patterns Using Hydraulic Bed Sensor Data in Older Adults Aging-in-place
Presenter:

Pallavi Gupta

Date:

03-23-2023

Time:

3:30PM-4:00PM

Location:

S203 Memorial Union

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
Presenter:

Erin Tallon

Date:

12-02-2022

Time:

3:00PM-4:00PM

Location:

Zoom

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
Presenter:

Olha Kholod

Date:

11-17-2022

Time:

1:00PM-2:00PM

Location:

Zoom

 

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.