Leaders in Pharmaceutical Business Intelligence (LPBI) Group

PLENARY KEYNOTE PRESENTATIONS: TUESDAY, APRIL 29 | 4:00 – 5:00 PM @ BioIT World, April 29 – May 1, 2014 Seaport World Trade Center, Boston, MA

 

Reporter: Aviva Lev-Ari, PhD, RN

 

PLENARY KEYNOTE PRESENTATIONS:

TUESDAY, APRIL 29 | 4:00 – 5:00 PM

Keynote Introduction: Sponsored by Dave Wilson, Senior Director, Business Development Manager, Global Channels, Hitachi Data Systems

John Quackenbush, Ph.D.

CEO, GenoSpace; Professor, Dana-Farber

Cancer Institute and Harvard School of Public Health

John Quackenbush received his Ph.D. in 1990 in theoretical physics from UCLA working on string theory models. Following two years as a postdoctoral fellow in physics, Dr. Quackenbush applied for and received a Special Emphasis Research Career Award from the National Center for Human Genome Research to work on the Human Genome Project. He spent two years at the Salk Institute and two years at Stanford University working at the interface of genomics and computational biology. In 1997 he joined the faculty of The Institute for Genomic Research (TIGR) where his focus began to shift to understanding what was encoded within the human genome. Since joining the faculties of the Dana-Farber Cancer Institute and the Harvard School of Public Health in 2005, his work has focused on decoding and modeling the networks of interacting genes that drive disease. In 2011 he and partner Mick Correll launched GenoSpace to facilitate genomic data analysis and interpretation, focused on accelerating research and delivering relevant and actionable solutions for personalized medicine.

IN REAL TIME FROM THE AMPHITHEATER of World BioIT2014

Twitter

#BioIT14

2900 attendees 140 exhibitor, 250 Speakers, Best of Show Awart, Best Practices Award, Franklin Award, Memorial to Pat McGovern ex-CEO and Chairman of IDG and launcher of BioIT, McGovern Institute for Brain Research @MIT his gift $350 million, [Broad’s gift to MIT was $650million]

Hitachi Data Perspective

Cloud and Aanlytics

John Quackenbush about Precision Medicine

Desire to use an information ecosystem for mediicine

The DRIVER is DATA – access t data Data that drives innovations in BioMedical

IT –

• Cloud Computing data, information and STORAGE of Data, data access, integration,
• iPhone – applications for needs,

Bio – anniversary of DNA discovery structure in 1953

Genome Sequence – Transforming Medicine: Big Data: Volume, Velocity, Variety

Genomic Medicine – data for interpretation of Symptoms: diet, exercise

Cost of generation of data drops clinical relevance of data – sequencing now $1000 pay with credit card

Cost of the Analysis – $100,000 – Research number the genes translational, identify biomarkers to better achieve efficacy in segments of the population.

Diagnosis – Clinical Medicine

Reimbursement – few $ to identify VARIANCE relevant to treat disease

Cloud – secure the infrastructure – same dat looked by different parties to answer different questions.

GenoSpace for Research – N= many patients

GenoSpace for Clinical Care – N=1

GenoSpace for Patient Community – N=many individual patients

Patient CONSENT

• Secure storage data
• analytics and visualization
• diverse data
• share dat securely

data in transit to be secure,  consumption of data

R&D Context

1000 Patients

50 Clinical site

large complex data

MMRF’s COMMPASS Study @Dana Farber – Multiple Myeloma Research Foundation

PORTAL design – to make data analysis of Cohort of Patioets, attribute analyzer, tools to find properties of cohort, compare across cohorts

Data analysis made easy – Precision Medicine based on Prediction

Population level data

end stage treatment

clincal trial

Translational Research – Pharma targets patients 

MMRF – gateway to the Community, interface for Patients to provide information during the course of Treatment, PATIENTS share, 1000 patients signed up to share data

• Patient Reported outcomes
• data integration
• clinical trial recruitment
• biomarker discovery

HOW to deliver data to POINT of CARE: Cancer more data Clinical (Pathology/Lab)

BioPoetry: Story what the data analysis MEANS

CURATION OF DATA – GenoSpace – for Clinical Labs

• Pathology Group: Sequencing
• Application development for REPORTS: FullView – meta data GEnoSpace 
• Look at the assay for standard of Care
• PDF format to scan and place in EMR, language suggestive,
• MD’s Portal, giving access to Patients to add data

 

Thomson Reuter – Annotate

An OS for Precision Medicin

Genomics and integration with Clinical data

how to create system for all parties involved. Use of data for multiple needs that overlap

Information management – patient at the center

Precision Medicine is the FUTURE – Digital Architects for Precision Mediicne