Recent technological advances and scientific breakthroughs have improved our understanding of disease pathogenesis. These improvements in sequencing, computing, and much more allow for more precise and faster diagnosis and treatments. Join us at the Advanced Technologies for Diagnostics and Precision Medicine conference program as we discuss new technologies to guide patient health.

Final Agenda

Sunday, March 1

2:00 - 5:00 pm Afternoon Short Courses*

*Separate registration required

5:30 - 8:30 Dinner Short Courses*

*Separate registration required

Monday, March 2

8:00 - 11:00 am Morning Short Courses*

*Separate registration required

10:30 Conference Program Registration Open

HARMONIZING NEW TECH WITH CLINICAL CARE

11:45 Organizer’s Opening Remarks

Ngoc ‘Emily’ Le, PhD, Conference Producer, Cambridge Healthtech Institute

11:50 Chairperson’s Remarks

Ralph Snyderman, MD, Chancellor Emeritus, Duke University; Director, Duke Center for Personalized Health Care

11:55 FEATURED PRESENTATION: The Precision Health Care Resolution – From Now into the Future

Ralph Snyderman, MD, Chancellor Emeritus, Duke University; Director, Duke Center for Personalized Health Care

Personalized, precision health is forging a transformation in care from its current focus on one-size-fits-all treatment for established diseases to a personalized, predictive approach that improves health, prevents disease, and treats it precisely when it occurs. This allows personalized care for each individual’s specific needs. This field is driven by the explosive development of capabilities stemming from genomic technologies, targeted therapies, digital and mobile health technologies, big data collection, artificial intelligence, and clinical awareness of personalized, proactive, patient-driven approaches to care. The harmonization of the new technologies with effective clinical application is a great challenge, but an even greater opportunity.

12:25 pm AI-Enabled Precision Medicine in Clinical Decision Support and Point-of-Care Diagnosis

Matthew Lungren, MD, MPH, Associate Director, Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford Child Health Research Institute; Faculty Scholar; Assistant Professor of Radiology, Radiology, Stanford University, School of Medicine, Lucile Packard Children’s Hospital

Can machine learning help all clinicians achieve expert-level diagnosis and patient-specific risk predictions at the point of care? We will explore frame-shifting research that opens new approaches to care delivery in a precision medicine paradigm while also discussing some of the pitfalls and lessons-learned from our field-leading medical AI work at Stanford with partner institutions all over the world.

12:55 Session Break

1:05 Luncheon Presentation (Sponsorship Opportunity Available) or Enjoy Lunch on Your Own

2:05 Session Break

BIOSENSORS FOR POINT-OF-CARE

2:20 Chairperson’s Remarks

Kiana Aran, PhD, Assistant Professor, Medical Diagnostics and Therapeutics, Henry. E. Riggs School of Applied Life Sciences, Keck Graduate Institute

2:25 Noninvasive Magneto-Nanosensors for Point-of-Care Gene Expression Analysis

Shan X. Wang, PhD, Professor, Materials Science and Engineering, and Electrical Engineering, Stanford University

Gene expression analysis at the POC is important for rapid disease diagnosis, but traditional techniques are limited by multiplexing capabilities, bulky equipment and cost. We present a giant magnetoresistive (GMR) biosensor platform well suited for multiplexed transcript detection and quantification. The technology has shown great promise in detecting influenza detection and vaccination response based on Influenza Meta Signature (IMS) resulting from host immune responses to viral infections.

2:55 CRISPR-Chip: CRISPR-Powered Transistors for DNA Biosensing

Kiana Aran, PhD, Assistant Professor, Medical Diagnostics and Therapeutics, Henry. E. Riggs School of Applied Life Sciences, Keck Graduate Institute

CRISPR-chip is a graphene field effect transistor (gFET) electronic biosensor that utilizes the sequence-specific targeting capabilities of CRISPR to detect target DNA sequences. The graphene surface of the CRISPR-Chip is functionalized with nuclease-deactivated CRISPR RNA-guided ribonucleoproteins (dRNPs) which scan the genomic sample, bind to their target sequence, and produce a detectable change in the gFET signal output. CRISPR-Chip harnesses the search function of CRISPR/Cas9 and the ultra-sensitivity of graphene-based nanoelectronics to detect two distinct mutations in patients with confirmed muscular dystrophy disorder without the need for gene amplifications.

ARTIFICIAL INTELLIGENCE IN POINT-OF-CARE TECHNOLOGIES

3:25 Artificial Intelligence-Enhanced Ecosystem of Point-of-Care Technologies for Antimicrobial Resistance Detection

Nam K. Tran, PhD, HCLD (ABB), FACB, Associate Professor and Director of Clinical Chemistry, Special Chemistry/Toxicology, and Point-of-Care Testing, Pathology and Laboratory Medicine, University of California, Davis

Artificial intelligence (AI) may provide new opportunities for predicting and perhaps preventing antimicrobial resistance in the community. The application of AI at the point of care (POC) could help identify infectious disease trends within patients and/or whole populations to optimize antimicrobial prescribing practices and combat the emergence of resistant pathogens. Lastly, the integration of POC testing with other laboratory methods under a diagnostic “ecosystem” is instrumental prior to leveraging AI analytics.

3:55 Talk Title to be Announced

Ming Tan, PhD, CEO, Wainamics

4:10 Sponsored Presentation (Opportunity Available)

4:25 Refreshment Break and Transition to Plenary Keynote


PLENARY KEYNOTE SESSION

4:35 Welcome Remarks

Cindy Crowninshield, RDN, LDN, HHC, Executive Event Director, Cambridge Healthtech Institute

4:45 PLENARY KEYNOTE INTRODUCTION

Thomas Westerling-Bui, PhD, Senior Scientist, Regional Business Development, Aiforia

5:00 PLENARY KEYNOTE PRESENTATION: High-Performance Medicine

Eric Topol, MD, Founder and Director, Scripps Research Translational Institute (SRTI); Author, Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again

 

 

 

 

6:00 Grand Opening Reception in the Exhibit Hall with Poster Viewing, Speed Networking, Book Signing, and Meetup Group

7:30 End of Day

Tuesday, March 3

7:30 am Registration Open and Morning Coffee

BIOMARKER TECHNOLOGY

8:00 Organizer’s Remarks

Marina Filshtinsky, MD, Executive Director, Conferences, Cambridge Healthtech Institute

8:05 Chairperson’s Remarks

Mike Montalto, PhD, Vice President, Head, Translational Sciences, Bristol-Myers Squibb

8:10 Digital Pathology in Precision Oncology

Mike Montalto, PhD, Vice President, Head, Translational Sciences, Bristol-Myers Squibb

Digital pathology – particularly with the combination of whole slide imaging, advanced staining methods, and artificial intelligence – has the potential to transform our understanding of the pathophysiology of disease, which in turn, may help to advance precision medicine. This talk will explore the role of digital pathology in translational research in immuno-oncology and other disease areas, as well as its potential as a platform for companion diagnostics.

8:40 Biomarkers in the Era of Immuno-Oncology: Update on Keytruda and Combinations

Alex Cao, PhD, Executive Director, Distinguished Scientist, Clinical Research, Merck & Co., Inc.

This talk will discuss the evolving landscape of biomarkers in the field of immuno-oncology, on immunohistochemistry and genomic approaches, for both immune-checkpoint single-agent treatments and combination therapies.

9:10 Cooperative Immunotherapy: Combination of Innate and Adaptive Immune Stimulating Therapies in Immuno-Oncology

Michael Washburn, PhD, Senior Director, Head, Immuno-oncology Biomarkers, Experimental Medicine Unit, GlaxoSmithKline

This talk will discuss the role of innate immune agonists in cancer therapy and considerations for combinations with checkpoint inhibitors, including dose frequency, sequence and IV vs. IT delivery. In addition, the role of non-invasive biomarkers such as imaging, cfDNA and microbiome to better understand combination strategies will be discussed.

9:40 Refreshment Break in the Exhibit Hall with Poster Viewing, Speed Networking, Book Signing, and Meetup Group

DECODING DISEASES IN THE ERA OF PRECISION HEALTH USING AI AND MACHINE LEARNING

10:40 Chairperson’s Remarks

Keith L. Ligon, MD, PhD, Associate Professor, Pathology, Harvard Medical School; Associate Pathologist and Neuropathologist, Pathology; Director, DFCI Center for Patient Derived Models, Brigham and Women’s Hospital

10:45 Translating Ten Trillion Points of Data into Diagnostics, Therapies and New Insights in Health and Disease

Atul Butte, MD, PhD, Priscilla Chan and Mark Zuckerberg Distinguished Professor; Director, Bakar Computational Health Sciences Institute, University of California, San Francisco; Chief Data Scientist, University of California Health (UC Health)

We build and apply tools that convert trillions of points of molecular, clinical, and epidemiological data – measured by researchers and clinicians over the past decade and now commonly termed “big data” – into diagnostics, therapeutics, and new insights into disease. Dr. Butte, a computer scientist and pediatrician, will highlight his center’s recent work on integrating electronic health records data across the entire University of California, and how analytics on this “real world data” can lead to new evidence for drug efficacy, new savings from better medication choices, and new methods to teach intelligence – real and artificial – to more precisely practice medicine.

11:15 Using Networks to Decode Cancer Risk

John Quackenbush, PhD, Professor and Chair, Biostatistics, Harvard TH Chan School of Public Health

Precision medicine is based on the idea that single mutations can inform our understanding of disease and response to therapy. But we know that cancer is multifactorial, with many genetic variants moderating disease and disease risk. By using network methods, we can better understand how and why cancer develops and assess disease risk.

11:45 Sponsored Presentation (Opportunity Available)

12:15 pm Session Break

12:20 LUNCHEON PRESENTATION I: A Modern Molecular LIMS Built for Precision Medicine

Nabil Hafez, MS, Senior Director, Product Management, Precision Medicine, Sunquest Information Systems

12:50 Luncheon Presentation II (Sponsorship Opportunity Available)

1:20 Refreshment Break in the Exhibit Hall with Poster Viewing, Speed Networking, Book Signing, and Meetup Group

2:00 Breakout Discussions in the Exhibit Hall

3:00 Transition to Keynote Session

KEYNOTE SESSION

3:15 Organizer’s Remarks

Christina Lingham, Executive Director, Conferences and Fellow, Cambridge Healthtech Institute

3:20 Keynote Introduction

3:35 What Does the New Era of Genomic Medicine Look Like? Effects on Patient Care, Therapeutics, and Diagnostics

Moderator: Kevin Davies, PhD, Executive Editor, The CRISPR Journal, Mary Ann Liebert, Inc.

Panelists: Stephen Kingsmore, MD, DSc, President/CEO, Rady Children’s Institute for Genomic Medicine

David Haussler, PhD, Investigator, Howard Hughes Medical Institute; Distinguished Professor, Biomolecular Engineering, University of California, Santa Cruz; Scientific Director, UC Santa Cruz Genomics Institute; Scientific Co-Director, California Institute for Quantitative Biosciences (QB3)

Elizabeth Worthey, PhD, Director, Genomic Medicine, University of Alabama, Birmingham School of Medicine

4:50 Spring Fling Celebration in the Exhibit Hall with Poster Viewing, Speed Networking, Book Signing, and Meetup Group

6:00 End of Day

6:30 - 9:30 Dinner Short Courses*

*Separate registration required

Wednesday, March 4

6:45 am Registration Open

7:00 BREAKFAST PANEL DISCUSSION: The Time is NOW: Creating Meaningful Change for Women in the Workplace (Sponsorship Opportunity Available)

Moderator: Robin Toft, Author of WE CAN, The Executive Woman’s Guide to Career Advancement; Founder and Chairman, Toft Group Executive Search

LIVE CTC ASSESSMENT AND CAPTURE

8:00 Organizer’s Remarks

Christina Lingham, Executive Director, Conferences and Fellow, Cambridge Healthtech Institute

8:05 Chairperson’s Remarks

Stuart S. Martin, PhD, Professor, Physiology, Marlene and Stewart Greenebaum NCI Comprehensive Cancer Center, University of Maryland School of Medicine


8:10 FEATURED PRESENTATION: Cytophone Platform for in vivo Noninvasive Liquid Biopsy

Vladimir Zharov, PhD, DSc, Professor, Josephine T. McGill Chair in Cancer Research; Director, Arkansas Nanomedicine Center, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences; CSO, Cytoastra LLC

We developed the versatile Cytophone platform for real-time diagnosis and therapy (theranostics) of rare circulating disease markers in the whole blood pool (up to 5-liter) through intact skin. Based on the principle of photoacoustics, this platform with portable and wearable sensors provides noninvasive (no blood draw, no needle), label-free (no label injection) and safe identification of a single marker of interest in relatively deep vessels in minutes. The broad spectrum of the Cytophone application includes stroke prevention through circulating clot detection, diagnosis of infections (e.g., malaria), sickle anemia, and real-time drug efficiency monitoring, as well as diagnosis of other diseases by molecular targeting of CTCs and other circulating markers with conjugated nanoparticles having high photoacoustic contrast.

8:40 Profiling Protein Expression for Individual CTCs

Shana O. Kelley, PhD, Professor, Department of Biochemistry, Leslie Dan Faculty of Pharmacy, University of Toronto

The analysis of heterogeneous ensembles of rare, circulating tumor cells (CTCs) requires single-cell resolution to allow phenotypic and genotypic information to be collected accurately. We developed a new approach – magnetic ranking cytometry – that uses the magnetic loading of individual cells to be monitored as a means to report on biomarker expression at the single cell level. This approach can be used to profile circulating tumor cells in blood and provides a high-information content liquid biopsy in a single measurement. It profiles both protein (Nature Nanotechnology, 2017) and nucleic acid (Nature Chemistry, 2018) analytes at the single-cell level. We have used this approach to monitor markers of the epithelial-to-mesenchymal transition and predictors of response to therapy for lung and prostate cancer patient samples.

9:10 Tumor Antigen-Independent and Cell Size Variation-Inclusive Enrichment of Viable Circulating Tumor Cells via Integrated Ferrohydrodynamic Cell Separation (iFCS)

Leidong Mao, PhD, Professor, School of Electrical and Computer Engineering, University of Georgia

We developed a novel method based on contrast of cell magnetization in biocompatible ferrofluids, termed as integrated ferrohydrodynamic cell separation (iFCS), that enriches CTCs in a tumor antigen-independent and cell size variation-inclusive manner, with a high-throughput, high recovery rate and low WBC contamination, and is also biocompatible.

9:40 Refreshment Break in the Exhibit Hall with Poster Viewing, Speed Networking, Book Signing, and Meetup Group

INCORPORATING MICROFLUIDICS, NANOSENSORS, AND MINIATURIZED DEVICES (CONT.)

10:40 Miniaturized Electrofluidic Technologies for Health and Environmental Monitoring

Mehdi Javanmard, PhD, Associate Professor, Electrical and Computer Engineering, Rutgers University New Brunswick

In this talk, I will discuss my group’s work on fabricating micro- and nanosensing platforms for biomolecular and biochemical detection. In the first part of my talk, I will discuss a digital microfluidic platform for detection of inflammatory proteins in blood and saliva. I will then discuss a novel scheme for barcoding microparticles nanoelectronically, for multiplexed detection of analytes. We have also developed a novel electrochemical sensor using reduced graphene oxide for detection of inflammatory markers in exhaled breath condenstate for management of chronic respiratory diseases. Finally, I will talk about my group’s efforts in developing novel probes for characterization of biological organisms on-the-field in environmental samples, along with sensors for detection of toxic compounds in our regional water sources.

MODERNIZING PAPER-BASED LATERAL FLOW ASSAYS

11:10 Recent Progress with Rapid Single-Use NAAT-Based Pathogen Detection Devices

Paul Yager, PhD, Professor, Department of Bioengineering, University of Washington

Detection of pathogens by untrained users in low resource environments is challenging. Our current approach is to use isothermal nucleic acid amplification. As opposed to the prevalent instrument/disposable paradigm, we have been emulating the simplicity of the user interface of the modern home pregnancy test. Ongoing projects include detection of tuberculosis using oral swabs, detection of chlamydia using urine, and detection of HIV from finger-stick blood samples.

11:40 Catalytic Enhancement of Lateral Flow Immunoassays: More Signal Amplifies Our Opportunity

Shawn P. Mulvaney, Section Head, Surface Nanoscience and Sensor Technology, Chemistry Division, U.S. Naval Research Laboratory

In field forward and remote settings, lateral flow immunoassays are one of the most important diagnostic technologies. However, they are limited by their sensitivity. We have developed a catalytic enhancement scheme where Pd replaces the traditional Au labels and we are realizing orders of magnitude more sensitivity. Our approach promises to reinvigorate a classic technology resulting in far more capable diagnostic that is perfectly suited for the most remote of locations, yet applicable to many more.

12:10 pm Sponsored Presentation (Opportunity Available)

12:40 Session Break

12:50 Precision Health Luncheon Presentation (Sponsorship Opportunity Available) or Enjoy Lunch on Your Own

1:20 Refreshment Break in the Exhibit Hall with Last Chance Poster Viewing, Speed Networking, Book Signing, and Meetup Group

FUTURE FORWARD: DIGITAL HEALTH

2:00 Chairperson’s Remarks

Adrian Chernoff, Former Worldwide Vice President, Global Head of Research and Development, Johnson and Johnson

2:05 Wearables and Health

Michael Snyder, PhD, Stanford W. Ascherman Professor & Chair, Department of Genetics; Director, Center for Genomics & Personalized Medicine, Stanford University

We have been using smart watches and continuous glucose monitoring to track people’s health and find early signs of disease.

2:25 Patient-Centricity, the Future to Enabling Digital Health

Adrian Chernoff, Former Worldwide Vice President, Global Head of Research and Development, Johnson and Johnson

Payers, providers and patients are beginning to encounter changes to the healthcare landscape with the introduction of new digital tools. As we shift into this new reality a key component will be to put the patient at the center shifting the relationship dynamics in how we deliver digital applications and build digital ecosystems to meet the growing needs of patients at any stage of care from health-care, home-care or self-care.

2:45 Digital Health in Diabetes – It Is Not about the App

Søren Smed Østergaard, Vice President, Digital Health, Novo Nordisk

The recent emergence of reliable data streams on medication via smart insulin pens and the correlation of that data with other relevant data sources will transform diabetes care outcomes in the decade to come.

3:05 Close of Conference

* The program is subject to change without notice, due to unforeseen reason.

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Update History
2019/11/07
Sponsor updated
2019/10/31
Agenda,Speaker,Sponsor updated
2019/09/18
Agenda,Speaker,Sponsor updated


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