Agenda

 

San Diego, CA, 10 - 11 October 2019

Schedule

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Oct 1008:40
Conference pass

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

Keynotes
Ed Simcox, Chief Technology Officer, U.S. Department of Health & Human Services
Oct 1009:00
Conference pass

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

Keynotes
Gianluca Pettiti, President, Biosciences Division, Thermo Fisher Scientific
Oct 1009:20
Conference pass

C-level / SVP Pharma Panel

Keynotes
Data strategies for R&D, addressing the importance of privacy, leveraging new technology and analytics for product commercialization, and integrating data into pharma companies.
Arpa Garay, President, Global Pharmaceuticals, Merck
Oct 1011:00
Conference pass

Predicting clinical success: analyzing genetic data sets through AI machine learning and structuring ML solutions for believable results

Data Journey
Pankaj Agarwal, Principal Computational Biologist, BioInfi LLC
Oct 1011:00
Conference pass

Software as a medical device: approaching challenges to the adoption and regulation of AI-enabled software and improving the quality of real world data

AI & Machine Learning
Christina Silcox, Managing Associate, Duke Margolis Center for Health Policy
Oct 1011:00
Conference pass

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

Genomics
David Smith, Professor, Mayo Clinic
Oct 1011:00
Conference pass

Integrating EMR data for cancer drug development: how to develop cancer treatments of scale by integrating gene panels and EMR records for patient recruitment data

Data for R&D
Jane Fang, Director, R&D Information Head For Clinical Biologics, AstraZeneca
Oct 1011:00
Conference pass

Engaging patients with data

Data for Healthcare
How to develop effective strategies to engage patients in the selection of patient-centred outcomes and research questions
Nick Knezevic, Associate Professor of Anesthesiology and Surgery, Vice Chair for Research and Education, University of Illinois at Chicago, Advocate Illinois Masonic Medical Center
Oct 1011:20
Conference pass

A foundation for data analytics: applying the FAIR principles to create an enterprise-wide data commons that accelerates drug discovery research

Data Journey
Nolan Nichols, Bioinformatics Software Engineer, Genentech
Oct 1011:20
Conference pass

The convergence of big data and AI: how big data enables artificial intelligence to provide more meaningful results and how to apply that learning to your company

AI & Machine Learning
Prasun Mishra, Chief Executive Officer, Association for Precision Medicine
Oct 1011:20
Conference pass

Sequencing data from Asian populations

Genomics
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.
Stephan Schuster, Scientific Chairman, Genome Asia
Oct 1011:20
Conference pass

Targeting groups of cancer genes in a pathway: how to identify driver alterations within pathways and choose a targetable alteration to optimize cancer therapy

Data for R&D
James Broach, Director Of The Penn State Institute For Personalized Medicine, Penn State College of Medicine
Oct 1011:20
Conference pass

Real-time data processing

Data for Healthcare
How the latest in-memory database technology can be used to extract data from siloed systems and combine them in real time to improve research and support better healthcare systems.
Matthieu Schapranow, Group Leader And Scientific Manager Digital Health Innovations, Hasso Plattner Institute
Oct 1011:40
Conference pass

Clinical data analytics: tools, techniques, and strategies used for data analytics

Data Journey
Joachim Luithle, Vice President And Head Of Clinical Development Operations, Bayer
Oct 1011:40
Conference pass

Quantum privacy computing at scale: how quantum computing can be more secure than traditional RSA computing and its potential to secure data at scale

AI & Machine Learning
More information soon.
James Dzierzanowski, Executive Director, Kaiser Permanente
Oct 1011:40
Conference pass

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

Genomics
Stephen Kingsmore, President And Chief Executive Officer, Rady Children's Hospital
Oct 1011:40
Conference pass

Cancer data mining: how to leverage the recent influx of complex molecular data in immune-oncology to understand tumor- immune interaction, identify new targets, and develop novel biomarkers

Data for R&D
Andrey Loboda, Director Of Informatics And Analytics In Genetics And Pharmacogenomics Department, Merck And Company
Oct 1011:40
Conference pass

Bridging the gap: how data analysis can improve the assessment of patients’ needs and improve the access to care

Data for Healthcare
Lauren Green, Clinical Data Specialist, Eastern Virginia Medical School
Oct 1012:00
Conference pass

Reproducing successful data outcomes: combining seemingly unrelated information and variables to analyze process results through a globally-integrated bioinformatics platform

Data Journey
Sridhar Iyengar, CEO, Elemental Machines
Oct 1012:00
Conference pass

Creating value through large genomic data sets: how human guided machine learning is used to analyze large patient data sets and develop novel oncology therapies

Data for R&D
Panna Sharma, Chief Executive Office, Lantern Pharma
Oct 1013:40
Conference pass

Roundtable: Cross-sector networking for rare diseases: exploring vital data from AI, devices, research, and IT related to rare disease patients

Keynotes
Jill Bonjean, Corporate Relations Advisor, Rare Disease International
Pamela Mace, President, Fibromuscular Dysplasia Society of America
Oct 1013:40
Conference pass

Roundtable: Diversity in clinical research: how to use data to increase ethnic, racial, and gender diversity in clinical trials to improve outcomes for patients of all backgrounds

Keynotes
Stephen Groft, Senior Advisor To The Director, Ncats, NIH
Oct 1013:40
Conference pass

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

Keynotes
Monika Schneider, Research Associate, Margolis Center For Health Policy, Duke University
Oct 1013:40
Conference pass

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

Keynotes
Stephan Schuster, Scientific Chairman, Genome Asia
Oct 1013:40
Conference pass

Roundtable: Mitigating the risk of mobile healthcare

Keynotes
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.
Fergal Mccaffery, Director, Regulated Software Research Centre, Dundalk Institute of Technology
Oct 1013:40
Conference pass

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

Keynotes
Yizhen Dong, Principal, 11.2 Capital
Oct 1013:40
Conference pass

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

Keynotes
Jenny Royle, Patient-Centricity Senior Program Leader, digital Experimental Cancer Medicine Team
Oct 1013:40
Conference pass

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

Keynotes
Eric Weintraub, Division Director, Addiction Research And Treatment, Co-Director, Adult Psychiatry, University of Maryland Medical Center
Oct 1014:50
Conference pass

Data accessibility: how to pool internal and external data sources for clinical development and how to utilize tech platforms and rapid data prototyping to increase accessibility

Data Journey
Mike Kellen, Chief Technology Officer, Sage BioNetworks
Oct 1014:50
Conference pass

Using artificial intelligence to design new molecules: how to use a novel computational strategy knows as Reinforcement Learning for Structural Evolution to employ data for the design of new molecules

AI & Machine Learning
Olexandr Isayev, Professor, University Of North Carolina
Oct 1014:50
Conference pass

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

Genomics
Mohamed-Ramzi Temanni, Technical Manager - Bioinformatics, Sidra Medicine
Oct 1014:50
Conference pass

Early pricing decisions: how to address drug pricing concerns prior to regulatory approval

Data for R&D
Redouane Soualmi, Head Of Market Access And Government Affairs Nwa, Boehringer Ingelheim
Oct 1014:50
Conference pass

The rise of telehealth: how telehealth is automating data capture, increasing data within pipelines, and enabling personalized treatments for a larger number of patients

Data for Healthcare
More information soon.
Marco Prunotto, Senior Clinical Development Scientist, F. Hoffmann-La Roche AG
Oct 1015:10
Conference pass

Integrating data infrastructure: how to improve both function and workflow for extreme-scale data and analytics

Data Journey
Jeremy Cohen, Senior Program Manager, Oak Ridge National Laboratory (ORNL)
Oct 1015:10
Conference pass

In silico drug design: how to use computer simulations to identify/validate target biomarkers, discover/optimize leads, and perform pre-clinical tests

AI & Machine Learning
Govinda Bhisetti, Head Of Computational Chemistry, Biogen
Oct 1015:10
Conference pass

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)

Genomics
Ali Torkamani, Director Of Genome Informatics, Drug Discovery, Integrative Structural And Computational Biology, The Scripps Translational Science Institute
Oct 1015:10
Conference pass

Value based assessment: how Real-World Evidence (RWE) can improve estimates of actual drug use and costs, and increase transparency in health outcomes

Data for R&D
More information soon.
Xin Chen, Associate Director, Data Science & Outcomes Research, Merck
Oct 1015:10
Conference pass

How telehealth is changing behavioral healthcare

Data for Healthcare
Meeting the growing unmet demand of behavioral health care services, addressing barriers to adoption, and operational considerations for the unique clinical structure of telebehavioral health services.
Lan Chi Vo, Medical Director Of Telehealth, Psychiatry And Behavioral Health Services, The Children's Hospital of Philadelphia
Oct 1015:30
Conference pass

Executing digital strategy: how to anchor your data strategy in daily operations

Data Journey
Alexander Krupp, Head Of Computational Life Science It Pharmaceuticals, Bayer
Oct 1015:30
Conference pass

Prioritizing targets: how to lower the cost and time needed for drug discovery by incorporating AI to assess the level of confidence of a target and choose a druggable protein

AI & Machine Learning
Adam Godzik, Director And Professor, Bioinformatics And Structural Biology Program, Sanford-Burnham Medical Research Institute
Oct 1015:30
Conference pass

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

Genomics
Gerry Higgins, Research Professor Of Computational Medicine And Bioinformatics, University of Michigan Medical School
Oct 1015:30
Conference pass

Reimbursement for gene therapy: how creating outcomes-based agreements incites a greater need to collect data to ensure patient access to treatments

Data for R&D
Allen King, Team Lead, Rare Disease Patient Health And Impact, PFIZER
Oct 1015:30
Conference pass

Increasing health system efficiency: how to combine telemedicine, data, and artificial intelligence to drive an effective program

Data for Healthcare
Matthew Shafer, Administrative Director, Telehealth, Erlanger Health System
Oct 1015:50
Conference pass

Capturing data through wearables: how using mobile apps connected to wearable devices can improve the data collection for medication

Data Journey
Sohini Chowdhury, Chief Executive Officer, Michael J. Fox Foundation
Oct 1017:10
Conference pass

Keynote Panel: Data democratization: how to convey the value of data sharing to the industry, patients, and clinic

Keynotes
Peter Goodhand, Executive Director, Global Alliance for Genomics & Health
Julia Brodsky, Executive Director, Data Strategy And Services, Novartis Oncology
Annette Bakker, President and Chief Scientific Officer, Childrens Tumor Foundation
Joseph Lehar, Vice President Data Science, Oncology, Janssen Pharmaceutical companies of Johnson & Johnson
Oct 1017:30
Conference pass

Closing remarks followed by networking drinks reception

Keynotes
More information soon.

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Oct 1109:00
Conference pass

Collaboration for innovation: a case study discussion about Project Baseline’s digitally innovative, patient-centered approach to challenges with data fragmentation within research programs

Keynotes
Debbie Profit, Vice President Of Applied Innovation And Process Improvement, Otsuka Pharmaceutical
Oct 1109:20
Conference pass

C-level / SVP Healthcare Panel: data strategies to lower the cost of healthcare, encouraging collaboration between entities, and integrating EMR usage for increased efficiency

Keynotes
David Kaelber, Chief Medical Informatics Officer And Vice-President Of Health Informatics, The Metro Health System
Anthony Chang, Chief Intelligence And Innovation Officer, CHOC Children's
Jason Johnson, Senior Vice President, Chief Health Information Officer, Dana Farber Cancer Institute
Oct 1111:00
Conference pass

Cryptology and blockchain for data privacy: how to combine multiple encryptions as a solution to fracking and privacy concerns

Data Journey
Emmanuel Gbenga Dada, Computer Engineering Department, University of Maiduguri, Nigeria
Oct 1111:00
Conference pass

Analyzing multiple information modalities: how to combine imaging data, text mining, devices

AI & Machine Learning
More information soon.
Faisal Khan, Executive Director Of Advanced Analytics And Artificial Intelligence, AstraZeneca
Oct 1111:00
Conference pass

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

Genomics
Amalio Telenti, Chief Scientific Officer, Scripps Research
Oct 1111:00
Conference pass

Real world data for rare diseases: how to make drug development more feasible for rare diseases and improve regulatory decision making

Data for R&D
More information soon.
Monica Weldon, President and Chief Executive Officer, Bridge The Gap Syngap Education And Research Foundation
Oct 1111:00
Conference pass

Addressing disparate health systems within populations: how to create partnerships between pharma, government, and health-disparate populations

Data for Healthcare
Tammy Anderson, Veteran Affairs National Director, AstraZeneca
Oct 1111:20
Conference pass

Data transfer for scale

Data Journey
How to make large data sets more usable through user-friendly data submission, harmonizing datasets, and an expansive knowledge network (a case study on the Genomic Data Commons).
Jean Claude Zenklusen, Director, The Cancer Genome Atlas, Center For Cancer Genomics, National Cancer Institute - NIH
Oct 1111:20
Conference pass

Imaging data: how personalized imaging can benefit population health by improving monitoring and lowering overall cost

AI & Machine Learning
Mark Punyanitya, Chief Executive Officer, PhenoMx
Oct 1111:20
Conference pass

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

Genomics
John Mattison, Chio, Asst Med Dir, Kaiser Permanente
Oct 1111:20
Conference pass

FDA updates for rare disease data: how to approach rare disease data and make company-wide updates to improve data submission

Data for R&D
Xin Du, Senior Vice President And Head Of Global Regulatory Affairs, Adlai Nortye Biopharma
Oct 1111:20
Conference pass

EHR data for health disparity environments

Data for Healthcare
Using clinical data from EHRs to develop clinical decision support algorithms to aid primary care physicians in health disparity zones such as inner city, rural, Native American, and international markets.
William Paiva, Managing Partner, Oklahoma Life Science Fund
Oct 1111:40
Conference pass

The data ownership debate: assessing the rights of patients, physicians, and researchers to accelerate data usage for innovation

Data Journey
Suguna Rachakonda, Senior Director, Product Developer and Strategic Partnerships, The Cleveland Clinic Foundation
Oct 1111:40
Conference pass

Transforming drug discovery: how AI and image data sets helps understanding how healthy cells are impacted by diseases and consequently guide therapy development

AI & Machine Learning
Lina Nilsson, Senior Director - Data Science Product, Recursion Pharmaceuticals
Oct 1111:40
Conference pass

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

Genomics
Sivan Bercovici, CTO, Karius
Oct 1111:40
Conference pass

Disparities within Alzheimers

Data for Healthcare
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.
Stephanie Monroe, Executive Director,, African Americans Against Alzheimer's
Oct 1113:40
Conference pass

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

Keynotes
June Lee, Chair, Artificial Intelligence, National Institutes of Health (NIH)
Oct 1113:40
Conference pass

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

Keynotes
Amelia Anderson, Computational Biochemistry Research Scientist, SENS Research Foundation
Oct 1113:40
Conference pass

Roundtable: Data’s intersect with outer space: how research in the microgravity environment could change the way we look at cell data and transform drug pipelines

Keynotes
Jana Stoudemire, Director Of Commercial Innovation, Space Tango
Sylvain Costes, Genelab Project Manager, Space Biosciences Research Branch, Ames Research Center, NASA
Oct 1113:40
Conference pass

Roundtable: Genomic interpretation for accurate diagnoses: how to simplify the process of genetic screening from sample to report interpretation

Keynotes
Manuel Corpas, Founder And Chief Scientist, Cambridge Precision Medicine
Oct 1113:40
Conference pass

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

Keynotes
Nadeem Sarwar, Founder And President, Eisai
Oct 1113:40
Conference pass

Roundtable: Strategic data presentations for government support

Keynotes
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
Oct 1113:40
Conference pass

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

Keynotes
Hollie Schmidt, Vice President Of Scientific Operations, Accelerated Cure Project for Multiple Sclerosis
Kerry Leeson-Beevers, National Development Manager, Alstrom Syndrome U.K.
Lee Lehman-Becker, Global Head R&D Digital And Personalized Health Care Partnering, Roche
Oct 1114:50
Conference pass

Translational bioinformatics: how to generate translational insights by integrating and validating public/internal data through a combination of statistical and machine learning methods

Data for R&D
More information soon.
Sàndor Szalma, Senior Director, Biomedical Informatics, Takeda
Oct 1114:50
Conference pass

Big data in policy: addressing policy issues related to clinical trial designs, technological innovations, and the analysis of large scale health datasets

Data for Healthcare
Mohammed Khair Elzarrad, Deputy Director, Office Of Medical Policy, Center For Drug Evaluation And Research, U.S. Food and Drug Administration (FDA)
Oct 1115:10
Conference pass

RWE for regulatory applications

Data for R&D
How to present data in such a manner as to lower time and costs of product approvals, identify new uses for existing products, and improve clinical practices for the use of drugs and medical devices.
Oct 1115:10
Conference pass

CBER’s “BEST” initiative: how to use healthcare and EHR data to support regulatory decision-making

Data for Healthcare
Steven Anderson, Director Of Our Office Of Biostatistics And Epidemiology, U.S. Food and Drug Administration (FDA)
last published: 23/Aug/19 19:05 GMT

 

Contact us

To sponsor or exhibit contact:
André Singer
t/ 646.619.1797 

andre.singer@www.zhaoxuefen.com


To speak:
Anna Bagley
t/ 646 619-1803 

anna.bagley@www.zhaoxuefen.com