Northwestern University

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Jan
16
Tue 12:00 PM

BIDS Seminar

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When: Tuesday, January 16, 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.

Jan
23
Tue 12:00 PM

BIDS Seminar: Nikolaos Maglaveras, PhD - Faculty Research (Personalized Health Systems Research in the European Union: Current State-of-the-Art and Medical Applications)

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When: Tuesday, January 23, 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: Academic

Description:

During the past two decades there is an increasing trend towards personal health systems (PHS) as can be evidenced by a number of subsystems and modules that can be part of a PHS. These include personal health devices, contact centres, medical decision support systems (DSS), HER/PHR, mHealth apps, coaching and educational services, as well as frameworks for efficient and interoperable medical knowledge management. In this talk, we shall concentrate on the current state-of-the-art in PHS in the EU through a new generation of Information and Communication Technologies (ICT) based systems which are designed to advance the precision medicine approach. Specific application areas to be presented are: (a) ADE prevention using big data, advanced CDSS, and social media semantics extraction based on the PSIP and PINCLOUD projects, (b) New ICT interventions for effective cardiac rehabilitation in a community setting integrating motion analytics with biosignal and behavioural biomarkers based on the PATHWAY project, (c) New methodologies and technologies (new sensors, wearable EIT for bioimpedance estimation, FHIR, heart sounds and crackles analytics, cloud technologies) for coordinated and integrated care models targeting COPD patients with comorbidities based on the WELCOME project, (d) High Performance Computing Next Generation Sequencing (NGS) analytics for cervics, CLL and CML big biodata cloud based health services pipeline based on the AEGLE, ASSIST and PIPAVIR projects. These are just a few areas which will be discussed. Please tune into the talk to learn more.

Jan
30
Tue 12:00 PM

BIDS Seminar - Moved to Wednesday 1/31/18 at 1:00 PM (One Time Only) - Director of Data Science Candidate Talk Featuring Subramani Mani, MD

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When: Tuesday, January 30, 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.

Feb
6
Tue 12:00 PM

BIDS Seminar: Zhe Ji, PhD - Faculty Research (Dissecting Transcriptional and Translational Regulatory Circuits in Human Cancers)

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When: Tuesday, February 6, 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:

Cancer happens through accumulation of genetic mutations and epigenetic alternations in normal cells. Characterizing key genes and associated regulatory networks underlying cell transformation is fundamentally important to develop novel cancer therapeutic strategies. First, I will present my study reconstructing gene transcriptional regulatory circuits mediating tumor-promoting inflammation. Second, I will talk about basic principles of RNA translation in mammalian cells and translational regulation during oncogenic processes.

Feb
13
Tue 12:00 PM

BIDS Seminar: Matthew Dapas - Student Presentation (New Genomic Research in Polycystic Ovary Syndrome - PCOS)

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When: Tuesday, February 13, 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:

Genome-wide association studies (GWAS) have identified tens of thousands of genetic variants associated with increased risk of developing various common and complex diseases, such as heart disease and diabetes, but these variants typically account for only a small fraction of genetic heritability. A number of factors may be contributing to this “missing heritability”, including omnigenicity, disease heterogeneity, and rare variants. In this talk I will present new genomic research in polycystic ovary syndrome (PCOS), a complex, heterogeneous disease that affects 6-10% of premenopausal women worldwide and is a leading cause of infertility. Using whole genome sequencing data from 76 families affected by PCOS, we applied a number of innovative methods to identify whether rare variants and disease heterogeneity can account for the missing heritability observed in PCOS. Our findings provide new insights into the etiology of PCOS and to the study of common, complex diseases in general.