Genomics

 

 

Examining the challenges related to sequencing genetic data, rapidomics, phenotyping and genotyping, genome editing, genetic applications to R&D, and genomic platforms.

 

Genomics, Thursday 10 October 2019

08:00

Registration & Breakfast

Plenary Keynotes

Nevine Zariffa
08:35

Chairperson’s opening remarks

Ramesh Kolluru
08:40

Data innovation in the American government: how the HHS effectively leverages data, technology and innovation to improve lives

Gianluca Pettiti
09:00

Automating data: how AI and automation will impact the use of data applied to lab interconnectivity and sample analysis

Arpa Garay
09:20

Keynote Panel

Data strategies for R&D, addressing the importance of privacy, leveraging new technology and analytics for product commercialization, and integrating data into pharma companies.
10:20

Networking Coffee Break

Sequencing

David Smith
Genomics
11:00

The rise of single cell and long range sequencing: examining the impact of whole genome sequencing on the clinical industry, phenotyping, and navigating new technologies

Stephan Schuster
Genomics
11:20

Sequencing data from Asian populations

How sequencing more than 100,000 genomes will promote genetic understanding of diverse Asian ethnicities, intersect with microbiome research, increase knowledge of rare/inherited diseases, and further precision medicine.
Stephen Kingsmore
Genomics
11:40

Rapidomics: a case study examination of the record setting rapid sequence unit that enabled Rady’s NICU to combat infant mortality rates

Jo Bhakdi
Genomics
12:00

Early cancer detection with deep genomics and AI: new insights on AI-guided pattern recognition and single-molecule precision for early cancer detection

12:20

Networking Lunch

ROUNDTABLES (1-hour roundtable sessions split between 2 rounds of 30 minutes – attendees can select two roundtables to attend)

Monika Schneider
13:40

Roundtable: Incentivizing orphan drug innovation: how to motivate companies to develop orphan drugs through changes to reimbursement and tax incentives

Monika Schneider, Research Associate, Margolis Center For Health Policy, Duke University
Stephan Schuster
13:40

Roundtable: Microbiomes as indicators of health: how the surrounding environment can impact human health, and an examination of the data supporting this as evidence

Fergal Mccaffery
13:40

Roundtable: Mitigating the risk of mobile healthcare

How to secure data with the influx of healthcare apps and the move to patient interaction via mobile devices by conducting more frequent HIPAA security checks and penetration-testing / vulnerability-assessments of IT systems.
Yizhen Dong
13:40

Roundtable: Multidisciplinary approaches: how to apply digital data to drug discovery, use new technology for data mining, and utilize machine learning

Jenny Royle
13:40

Roundtable: The impact of safety data collection: how to treat disease and improve the quality of life for patients while properly characterizing the effects of the drug

13:40

Roundtable: Using data to develop innovative telemedicine programs: sharing ideas for the creation and implementation of telehealth programs

Jud Schneider
13:40

Roundtable:Terabytes of data is not enough: building a better biobank via data product design, analytic services, data delivery, cloud-based analytic toolkits and other means

Deep Learning

Mohamed-Ramzi Temanni
Genomics
14:50

Genotype-phenotype correlation: how the Qatar National Genome Project combined whole genome sequencing and omics data with phenotypic data from Qatar Biobank to plan for new pipelines

Ali Torkamani
Genomics
15:10

Polygenic disease risk prediction with deep learning: how to combine the use of polygenic risk scores and deep learning frameworks to assess the utility of single nucleotide polymorphisms (SNP)

Gerry Higgins
Genomics
15:30

Machine learning for enhancers: how to link target genes to enhancers via learning algorithms to predict gene expression patterns from the data

Jonathan Dry
Genomics
15:50

Biologically rationalizing discoveries: using graphical models for biological insight and precision medicine

Networking Coffee Break

Plenary Keynotes

Data Democratization

Kamal Sharma
17:50

Closing remarks followed by networking drinks reception

More information soon.
last published: 11/Oct/19 15:25

Genomics, Friday 11 October 2019

08:00

Registration & Breakfast

Plenary Keynotes

10:20

Networking coffee break

Clinical Data Applications

Amalio Telenti
Genomics
11:00

Clinical data applications for the non-coding genome: how to leverage machine learning and deep learning for data sets of varying size and apply exome sequencing in a clinical context

John Mattison
Genomics
11:20

Genomic Big Data Analytics in the Plecosystem Economy: how to navigate siloed genomic data on multiple platforms and apply the data in a clinical context

Sivan Bercovici
Genomics
11:40

Advancing infectious disease diagnostics: applying AI and machine learning to analyze complex genomic data

12:20

Networking Lunch

June Lee
13:40

Roundtable: AI for therapeutics: how to apply automation and machine learning to treatments and encourage the use of AI beyond drug discovery

Jud Schneider
13:40

ROUNDTABLE: AI integration: how incorporating AI into all phases of drug development from target discovery, to the recovery of failed projects is transforming pharma

Amelia Anderson
13:40

Roundtable: Computational molecular dynamics: small molecule data approaches for modifying drugs and identifying targets

Stephanie Monroe
13:40

Roundtable: Data to Eliminate Health Disparities

Addressing the need for diversity in clinical trials and treatment by strategizing locations of research centers and clinics, creating accessible physician support, and using data to target individuals for outreach
Nadeem Sarwar
13:40

Roundtable: Genomics in drug discovery: how to expedite the drug development through genomics and structural/cultural changes

Eve Bukowski
13:40

Roundtable: Strategic data presentations for government support

How to engage government officials by shifting from the use of quantitative data (hard numbers) to qualitative data (telling the patient story) in your presentation.
Eve Bukowski, Vice President, Patient Advocacy, Education and Outreach, California Life Sciences Association - CLSA
Hollie Schmidt

ROUNDTABLES (1-hour roundtable sessions split between 2 rounds of 30 minutes – attendees can select two roundtables to attend)

15:30

End of Conference

last published: 11/Oct/19 15:25

 

Contact us

To sponsor or exhibit contact:
André Singer
t/ 646.619.1797 

andre.singer@terrapinn.com


To speak:
Anna Bagley
t/ 646 619-1803 

anna.bagley@terrapinn.com