Northwestern University

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May
1
Tue 12:00 PM

BIDS Seminar: Lazaro (Nelson) Sanchez-Pinto - Faculty Research (Data-driven Phenotyping of Pediatric Multiple Organ Dysfunction Syndrome)

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When: Tuesday, May 1, 2018
12:00 PM - 1:00 PM  

Where: Arthur Rubloff Building, Lakeview Conference Room (11th Floor), 750 N Lake Shore Dr, Chicago, IL 60611 map it

Audience: - Faculty/Staff - Student - Post Docs/Docs - Graduate Students

Contact: Lindsay Varasteh   312.503.1997

Group: Center for Data Science and Informatics (CDSI)

Category: Lectures & Meetings

Description:

Abstract: The development of multiple organ dysfunction syndrome (MODS) is a common final pathway for death in critically ill children in the pediatric intensive care unit (PICU).  Decades of trials have universally failed to identify drugs with effectiveness at reducing the burden of MODS. One of the most likely explanations for these disappointing results is that MODS is a complex, dynamic, and heterogeneous syndrome formed by different phenotypes with unique pathobiological characteristics and, therefore, different potential drug targets. Some experts have described MODS phenotypes based on observed clinical and molecular characteristics, but none have used a data-driven approach. Using a consensus clustering approach, we uncovered four phenotypes of MODS using the components of a validated pediatric organ dysfunction score in the first 72h of PICU stay in a cohort of 3,180 children with MODS at Lurie Children’s Hospital. The four phenotypes include: (1) a severe respiratory failure phenotype with persistent shock and high mortality: (2) a thrombocytopenia-associated phenotype with mild shock and mid-to-high mortality; (3) a renal dysfunction phenotypes with low mortality; and, (4) a shock and hepatobiliary dysfunction phenotypes with rapid recovery and very low mortality. Three of these novel phenotypes were reproducible in a cohort of 2,081 children with MODS at The University of Chicago Comer Children’s Hospital. They share characteristics with previously described phenotypes and have distinct mortality and morbidity associated. Further molecular evaluation could help uncover unique pathobiological differences and new candidate drug targets for pediatric MODS.

About Biomedical Informatics Data Science (BIDS): These talks include visiting lecturers, presentations on research by BIDS faculty and trainees, as well as presentations about informatics tools and resources to support research.

May
8
Tue 12:00 PM

BIDS Seminar: Phan Nguyen - Student Presentation (Inferring Gene Regulatory Networks from Time Series Expression Data Using Regression-Based Methods)

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When: Tuesday, May 8, 2018
12:00 PM - 1:00 PM  

Where: Arthur Rubloff Building, Lakeview Conference Room (11th Floor), 750 N Lake Shore Dr, Chicago, IL 60611 map it

Audience: - Faculty/Staff - Student - Post Docs/Docs - Graduate Students

Contact: Lindsay Varasteh   312.503.1997

Group: Center for Data Science and Informatics (CDSI)

Category: Lectures & Meetings

Description:

Abstract: Gene regulatory networks (GRNs) are important abstractions of the complex regulatory interplays between genes, proteins, metabolites, and other molecular-level entities. Comprehensive GRNs provide high-level overviews of the topology of gene-gene interactions and their purposes, thereby enabling a comprehensive understanding of their role in phenotypic variation, disease mechanisms, and other biological processes and how they may be perturbed for therapeutic purposes. However, constructing accurate GRNs from gene expression data remains a challenge, complicated by problems such as small sample sizes, gene expression stochasticity, and incomplete characterizations of the gene regulatory dynamics. We present two approaches for GRN reconstruction from time course gene expression data. For the first, we developed a semi-supervised method that enables the synthesis of information from partially known networks with time course expression data. For the second approach, we adapted the time-lagged ordered lasso, a regularized regression method with temporal monotonicity constraints, for de novo and semi-supervised GRN reconstruction by assuming that the regulatory strength of a gene diminishes with increasing temporal distance…Tune into the BIDS Seminar to find out more!

About Biomedical Informatics Data Science (BIDS): These talks include visiting lecturers, presentations on research by BIDS faculty and trainees, as well as presentations about informatics tools and resources to support research.

May
15
Tue 12:00 PM

BIDS Seminar (CANCELLED)

CANCELLED

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When: Tuesday, May 15, 2018
12:00 PM - 1:00 PM  

Where: Arthur Rubloff Building, Lakeview Conference Room (11th Floor), 750 N Lake Shore Dr, Chicago, IL 60611 map it

Audience: - Faculty/Staff - Student - Post Docs/Docs - Graduate Students

Contact: Lindsay Varasteh   312.503.1997

Group: Center for Data Science and Informatics (CDSI)

Category: Lectures & Meetings

Description:

Talks will cover the entire range of Biomedical Informatics and Data Science (BIDS) topics. They will include faculty research from NU and other institutions, research by BIDS trainees, and journal club discussions. Please note that this event is formerly known as CDSI Seminar Series.

May
22
Tue 12:00 PM

BIDS Seminar: Ariel Chandler - Student Presentation (Health Care Provider Collaboration Networks and Improving Cardiovascular Care)

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When: Tuesday, May 22, 2018
12:00 PM - 1:00 PM  

Where: Arthur Rubloff Building, Lakeview Conference Room (11th Floor), 750 N Lake Shore Dr, Chicago, IL 60611 map it

Audience: - Faculty/Staff - Student - Post Docs/Docs - Graduate Students

Contact: Lindsay Varasteh   312.503.1997

Group: Center for Data Science and Informatics (CDSI)

Category: Lectures & Meetings

Description:

Abstract: Our work constructs provider collaboration networks from transactional healthcare data, to better understand the structure and dynamics of teamwork using patient outcomes. Quality improvement in clinical care becomes both more valuable and complex as medicine increasingly utilizes large interdisciplinary teams, across services. To enable and empower these quality improvement initiatives, measures can be developed to better understand how healthcare providers as individuals and teams contribute to patient outcomes. This talk will illustrate how to deconstruct and evaluate provider teamwork using the discharge workflow of the NMH cardiology inpatient unit and 30-day unplanned readmission as an outcome measure. Additional steps to make this work applicable to actual clinical quality improvement initiatives will be discussed. This work includes the validation of workflows from electronic health record data, risk-adjustment of patient readmission rates, and supplementary qualitative data collection. This improved team-focused understanding of clinical care may inform strategies to reduce hospital readmissions, and facilitate quality improvement initiatives.

About Biomedical Informatics Data Science (BIDS): These talks include visiting lecturers, presentations on research by BIDS faculty and trainees, as well as presentations about informatics tools and resources to support research.

Sep
11
Tue 12:00 PM

BIDS Seminar: Gaston Illanes, PhD - Tool Presentation

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When: Tuesday, September 11, 2018
12:00 PM - 1:00 PM  

Where: Arthur Rubloff Building, Lakeview Conference Room (11th Floor), 750 N Lake Shore Dr, Chicago, IL 60611 map it

Audience: - Faculty/Staff - Student - Post Docs/Docs - Graduate Students

Contact: Lindsay Varasteh   312.503.1997

Group: Center for Data Science and Informatics (CDSI)

Category: Lectures & Meetings

Description:

Talks will cover the entire range of Biomedical Informatics and Data Science (BIDS) topics. They will include faculty research from NU and other institutions, research by BIDS trainees, and journal club discussions. Please note that this event is formerly known as CDSI Seminar Series.