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
08:35
Chairperson’s opening remarks
08:40
Data innovation in the American government: how the HHS effectively leverages data, technology and innovation to improve lives
09:00
Automating data: how AI and automation will impact the use of data applied to lab interconnectivity and sample analysis
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
Genomics
11:00The rise of single cell and long range sequencing: examining the impact of whole genome sequencing on the clinical industry, phenotyping, and navigating new technologies
Genomics
11:20Sequencing 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.
Genomics
11:40Rapidomics: a case study examination of the record setting rapid sequence unit that enabled Rady’s NICU to combat infant mortality rates
Genomics
12:00Early 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)
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
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
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.
13:40
Roundtable: Multidisciplinary approaches: how to apply digital data to drug discovery, use new technology for data mining, and utilize machine learning
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
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
Genomics
14:50Genotype-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
Genomics
15:10Polygenic 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)
Genomics
15:30Machine learning for enhancers: how to link target genes to enhancers via learning algorithms to predict gene expression patterns from the data
Genomics
15:50Biologically rationalizing discoveries: using graphical models for biological insight and precision medicine
Networking Coffee Break
Plenary Keynotes
Data Democratization
16:50
Keynote Fireside Chat: Data democratization: how to convey the value of data sharing to the industry, patients, and clinic
Kamal Sharma, Director, Strategic Initiatives, Director, Strategic Initiatives, Data Strategy & Services, Novartis Pharmaceutical
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
09:20
C-level / SVP Healthcare Panel: data strategies to lower the cost of healthcare, encouraging collaboration between entities, and integrating EMR usage for increased efficiency
Jason Johnson, Senior Vice President, Chief Health Information Officer, Dana Farber Cancer Institute
Mayur Saxena, Chief Executive Officer, Droice Labs
10:20
Networking coffee break
Clinical Data Applications
Genomics
11:00Clinical 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
Genomics
11:20Genomic Big Data Analytics in the Plecosystem Economy: how to navigate siloed genomic data on multiple platforms and apply the data in a clinical context
Genomics
11:40Advancing infectious disease diagnostics: applying AI and machine learning to analyze complex genomic data
12:20
Networking Lunch
13:40
Roundtable: AI for therapeutics: how to apply automation and machine learning to treatments and encourage the use of AI beyond drug discovery
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
13:40
Roundtable: Computational molecular dynamics: small molecule data approaches for modifying drugs and identifying targets
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
13:40
Roundtable: Genomics in drug discovery: how to expedite the drug development through genomics and structural/cultural changes
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
13:40
Roundtable: Using data for clinical collaboration: how to accelerate research by encouraging collaboration between industry and patient advocates and by sharing data for use in clinical trial design
Kerry Leeson-Beevers, National Development Manager, Alstrom Syndrome U.K.
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
Organiser
