MENU

Using AI and Predictive Algorithms to Help Advanced Cancer Patients Identify the Best Treatment Options

C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • Chief Product Officer, xCures
    Biography

      Kenny is currently the Chief Product Officer at xCures, a company that is focusing on supporting advanced cancer patients and their doctors with evidence-based treatment options while capturing outcomes and learning in real-time to accelerate the future of oncology. He has over a decade of product leadership/management experience in growing innovative healthcare products. Most recently, he was the Vice President of Products at GenomeSmart which was acquired by Ambry Genetics in 2020, a subsidiary of Konica Minolta. Prior to that, he was the Senior Product Director for Counsyl, which was acquired by Myriad Genetics in 2018. Kenny developed his passion for helping patients early in his career as a board-certified genetic counselor at UCSF Medical Center. He holds a B.Sc from University of British Columbia in Cell Biology and Genetics and a M.S. in Human Genetics from Sarah Lawrence College.


    Abstract

    Advanced cancer patients, individuals that have a <50% chance of 5 year-survival and have exhausted standard of care options, are often seeking for innovative therapies. These drugs may be investigational and only available via clinical trials. Unfortunately, >95% of cancer patients are excluded owing to exclusion criteria, geographic limitations, timing issues, or simply being at the wrong institution at the wrong time. Alternatively, they might be trying off-label treatments or novel combination therapies via a wide variety of means (right-to-try, expanded access, novel combination therapy, novel indications, etc..). Identifying the right cancer treatment is difficult. Cancer is highly personal, and what works for one person might not work for someone else. Unfortunately, unless a paper is published or a case series documented, most of the learning from these n-of-1 experiments is lost. Finally, oncologists often don't have enough time to help patients find the best treatment options due to the increasing demand of oncology services from factors including an aging and growing population. In fact, ASCO estimates that there will be a shortage of >2200 oncologists by 2025.

    We will discuss how artificial intelligence (AI) and natural language processing (NLP) tools can be utilized to analyze Real World Data (RWD) and other data sources to empower patients and their oncologists to make more informed and effective treatment decisions. Furthermore, collecting the safety and efficacy information of these therapies can also be beneficial for researchers of investigational drugs, new therapeutic combinations, or novel indications. This RWD can increase the ability to identify causal inferences between treatments and outcomes.

    Learning Objectives:

    1. Identify challenges advanced cancer patients and community oncologists face in finding treatment options

    2. Evaluate how artificial intelligence could empower more advanced cancer patients and their treating oncologists with the best treatments options they should consider

    3. Explore how Real World Data (RWD) on the safety and efficacy of these treatment options may be beneficial for researchers of investigational drugs, new therapeutic combinations, or novel indications


    Show Resources
    You May Also Like
    MAY 11, 2021 10:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    C.E. CREDITS
    MAY 11, 2021 10:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    Date: May 11, 2021 Time: 10:00zm PDT Your samples are some of the most valuable assets in the laboratory. After spending countless hours on extraction and preparation, your conclusions could...
    JUN 09, 2021 7:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    C.E. CREDITS
    JUN 09, 2021 7:00 AM PDT
    Add to Calendar Select one of the following: iCal Google Calendar Outlook Calendar Yahoo Calendar
    Date: June 9, 2021 Time: 09 June 2021, 7am PDT, 10am EDT, 4pm CEST cells with dramatic implications on the validity of past cell culture related research. The fact that at least 509 cell lin...
    NOV 16, 2020 8:00 AM PST
    C.E. CREDITS
    NOV 16, 2020 8:00 AM PST
    Date: November 16, 2020 Time: 8:00am (PST), 11:00am (EST) CRISPR screening has become the prime discovery tool in modern biomedical research and drug discovery. At the same time, most screen...
    OCT 29, 2020 6:00 AM PDT
    C.E. CREDITS
    OCT 29, 2020 6:00 AM PDT
    Date: October 29, 2020 Time: 6:00am (PDT), 9:00am (EDT), Chronic inflammation can occur as a result of a combination of genetic predispositions and environmental factors. Epigenetic modifica...
    DEC 02, 2020 8:00 AM PST
    C.E. CREDITS
    DEC 02, 2020 8:00 AM PST
    DATE: December 2nd, 2020 TIME: 08:00am PDT, 11:00pm EDT Bioreactors and shakers are used to cultivate microorganisms, plant, insect, and mammalian cells in different volumes. Upscaling of pr...
    MAR 16, 2021 10:00 AM PDT
    C.E. CREDITS
    MAR 16, 2021 10:00 AM PDT
    Date: March 16, 2021 Time: 10:00am (PST) Scientific progress and breakthroughs today are often too expensive for most institutions to acquire. Each year, the National Institutes of Health (N...
    Loading Comments...
    Show Resources
    Event Countdown
    • 0 Days
    • 0 Hours
    • 0 Minutes
    • 0 Seconds
    Attendees
    • See more