Cambridge Healthtech Instituteによる第10回年次
Infectious Disease Diagnostics
感染症診断
Emerging Technologies in the Post-Pandemic Era
ポストパンデミック時代の新興技術
2025年3月12日 - 13日 PST（米国太平洋標準時）
3月12日(水)
1:30 pmRegistration Open
HOME TESTING FOR INFECTIOUS DISEASES
感染症向け在宅検査
2:00 pmChairperson’s Remarks
The Pros and Cons of Home Respiratory Testing
Norman Moore, PhD, Volwiler Senior Associate Research Fellow, Director, Infectious Diseases, Scientific Affairs, Abbott Laboratories
Home testing for COVID-19 was a major success for safely getting through the pandemic as people could safely return to work or social gatherings. That has opened the door to the demand for more at-home tests. This talk will go through pros and cons of home testing for infectious diseases so people can better understand the benefits and risks.
Breaking the Barriers for Remote Self-Swabbing to Detect Chlamydia, Gonorrhea, and HPV
Dina Greene, PhD, Clinical Professor, University of Washington
Access to appropriate testing is crucial for identification, appropriate management, and containment of sexually transmitted infections (STI), mitigating their impact on public health. Without access to diagnostics, people will often unknowingly spread infections throughout their community or miss valuable opportunities to ensure they are maintaining reproductive health. Combined, there is a need for accessible and comprehensive services to screen for Chlamydia, Gonorrhea, and HPV.
Comprehensive Stakeholder Engagement to Accelerate and Optimize Access: A Case Study of POC HCV Test
Angela Stewart, Vice President, Global Government Affairs, Cepheid
A successful diagnostic test launch requires not only an “accurate test” with “strong clinical utility,” but also requires both early and deep stakeholder engagement with regulators, payers, and other members of the healthcare ecosystem. In this session, we will discuss a successful case study that can be used as a model for stakeholder engagement across a wide variety of stakeholder groups including NIH, FDA, CDC, patient advocacy, professional societies, clinicians, and many more. Executing on a comprehensive and clear stakeholder engagement strategy can both accelerate and optimize patient access.
3:35 pmDessert Break in the Exhibit Hall with Poster Viewing
PLENARY KEYNOTE SESSION: TECH TRENDS IN PRECISION MEDICINE
プレナリーセッション（基調講演）：精密医療におけるテクノロジー動向
Tech Trends in Precision Medicine
Jonathan D. Grinstein, PhD, North America Editor, Inside Precision Medicine
Leading technology companies will discuss future trends, needs, and solutions needed to drive precision medicine forward, including innovation in genomics and diagnostics, artificial intelligence and digital tech, multiomic analysis, biomarkers, and clinical trials.
4:45 pmClose of Day
3月13日(木)
8:00 amRegistration and Morning Coffee
CLINICAL METAGENOMIC SEQUENCING FOR DIAGNOSIS OF INFECTIONS
感染症診断向け臨床メタゲノムシーケンシング
Stewarding Next-Generation Sequencing Testing for Infectious Disease Diagnosis
Jennifer Dien Bard, PhD, D(ABMM), Director, Microbiology and Virology, Children’s Hospital Los Angeles; Professor, Pathology and Laboratory Medicine, Keck School of Medicine, University of Southern California
There is an increasing interest in the use of complex and expensive sequencing-based tests for the diagnosis of infectious diseases. Reports on the utility of the test have been variable. This presentation highlights challenges to the use of NGS tests and potential approaches to maximize the effectiveness of it.
Clinical Metagenomic Sequencing: What’s Next?
Charles Chiu, MD, PhD, Professor, Laboratory Medicine and Medicine/Infectious Diseases; Director, UCSF-Abbott Viral Diagnostics and Discovery Center; Associate Director, UCSF Clinical Microbiology Laboratory, UCSF School of Medicine
In this panel, discussants will review the current state of clinical metagenomic sequencing for diagnosis of infectious diseases, describe the clinical and public health impact of this novel technology, and consider ongoing challenges with regards to clinical indications, costs, and regulatory approval.
Jennifer Dien Bard, PhD, D(ABMM), Director, Microbiology and Virology, Children’s Hospital Los Angeles; Professor, Pathology and Laboratory Medicine, Keck School of Medicine, University of Southern California
10:05 amSponsored Presentation (Opportunity Available)
10:35 amNetworking Coffee Break
HOST RESPONSE PROFILING IN INFECTIOUS DISEASE
感染症における宿主応答プロファイリング
Host Response Profiling and Artificial Intelligence-Machine Learning for Differential Diagnosis of Infections
Host Response-Based Diagnostics for Presence, Type, Severity, and Treatment of Infectious Diseases
Purvesh Khatri, PhD, Professor, Institute for Immunity, Transplantation and Infection, Center for Biomedical Informatics Research, Stanford University
Infectious diseases remain a leading cause of death worldwide because despite technological advances, current diagnostic approaches are limited in detecting causative pathogen and fail to account for the host response to infection. Detrimental host responses can lead to increased morbidity and mortality. This talk will present recent technological advances that have enabled robust interrogation of the host response to infection and translation of these findings into rapid, point-of-care tests.
Host Response Profiling-A Test to Rule Them All?
Charles Chiu, MD, PhD, Professor, Laboratory Medicine and Medicine/Infectious Diseases; Director, UCSF-Abbott Viral Diagnostics and Discovery Center; Associate Director, UCSF Clinical Microbiology Laboratory, UCSF School of Medicine
The panel will discuss state-of-the-art methods for evaluating host responses for diagnosis of infections, including RNA transcriptome sequencing, RNA gene profiling, proteomics, and serologic approaches, and the advantages versus disadvantages of each. The panel will also debate the potential of host response profiling for broad-based agnostic diagnosis of nearly all acute illnesses, whether infectious or non-infectious, as well as chronic syndromes such as long COVID and Lyme disease.
12:30 pmClose of Conference
*不測の事態により、事前の予告なしにプログラムが変更される場合があります。
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