2013 Archived Content

Monday, February 20 | 1:00 pm – 4:00 pm 

Award-winning speakers from the 2011 Bio-IT World Best Practices competition will give attendees an in-depth look at cutting edge solutions and techniques for advancing translational medicine research. Going beyond the original entries, Best Practices winners will give updates, answer questions, and share the secrets to their programs’ success. This course provides you with an opportunity to “go behind the curtain” and see why our judges chose these entries as the best of the best.  

1:05 pm Chairperson’s Introduction 

Kevin Davies, Ph.D., Chief Editor, Bio-IT World  


1:15   Novartis Image Analysis Interface and ImagEDC (2011 Best Practices Award Winner in IT & Informatics)  

Joshua Snyder, Novartis Institutes for BioMedical Research  

NIAI is a fully automated image analysis workflow system with a plugin architecture that allows any DICOM based analysis application to be hot swapped into the workflow. Key features include a configurable DICOM QC engine for both inputs and outputs; a programmable transformation filter to convert DICOM outputs into cumulative tabular data reports; and notifications at defined workflow events. We're now running it productively in our clinical trials, and achieving an 80kUSD cost savings per trial where applicable, because a fully automated analysis is applied instead of manual image reads. Based on this success, and on our ImagEDC solution for transferring clinical trial images using caGrid enabled web services, we're now expanding the workflow to enable automated integration and workflow initiation directly from our I-CRO vendors' systems. 


1:45   Unified storage infrastructure at UCLA’s Laboratory of Neuro Imaging (2011 Honorable Mention Winner in IT & Informatics) 

Sanjay Joshi, Solutions Architect, Life Sciences, Isilon Systems  

The UCLA Laboratory of Neuro Imaging (LONI) is home to the world’s largest collection of nerual images. As its IT infrastructure grew to support high-performance computing, website operations, and image archiving, LONI needed to consolidate these applications onto a single storage platform to keep costs in line with budget and realize the potential of its many IT investments. Without a shared storage platform, LONI’s small IT staff spent one third of its time managing islands of storage and manually migrating data—a significant drain on time and budget. By deploying a shared, scale-out storage platform, LONI has consolidated its entire IT infrastructure on a single point of management, reducing time and resource expense to an hour per week, while improving performance for its Linux compute cluster and website. Today, LONI has nearly doubled its bandwidth to accommodate new research projects at a third of the cost of traditional storage systems.  


2:15   Refreshment Break  


2:30   Collaborative Drug Discovery TB database (2011 Editors’ Choice Award Winner)  

Sean Ekins, Collaborative Drug Discovery 

Collaborative Drug Discovery (CDD) has taken a leadership role in both developing web-based software and collating public data sets to facilitate the work of scientists involved in developing novel drugs against neglected tropical diseases. The vast majority of this critical work takes place outside major pharmaceutical and biotechnology companies, thus CDD’s software has enabled scientists (who otherwise might not have use of sophisticated software necessary to carry out modern day drug discovery efforts) to have access to this tool of the trade. CDD has developed a unique, web-based software package which currently helps scientists optimally identify and advance novel drug candidates for many diseases including tuberculosis (TB) by capturing public and private TB data while enabling data mining and collaborations with other researchers. To date, CDD has collated data on over 300,000 compounds tested against TB and used them for computational modeling and data mining. The CDD software and existing user network are uniquely positioned to facilitate collaborations in the neglected disease space thereby increasing the efficiency of drug discovery and development. 


3:00   Talk 4 TBA 


3:30   Q&A with Panel 


4:00 pm Session Wrap-up