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UID:legacy-fdbcf987fae167738b6002cf@events.alleywatch.com
DTSTAMP:20261114T185656Z
DTSTART:20181210T230000Z
DTEND:20181211T020000Z
SUMMARY:Machine Learning in Healthcare: EMR analysis\, R&D ROI\, plus 
 HIPAA chatbots
DESCRIPTION:Healthcare is a field of incredible challenges and life ch
 anging opportunities and machine learning can help many facets.\n\nWe 
 have THREE excellent speakers from Flatiron Health\, Pfizer\, and Talk
 space covering:\n\nMachine learning techniques to reduce bias in Elect
 ron Medical Records (EMR) analysis\n\nML improving ROI for drug R&D an
 d even design of new drugs\n\nPsychotherapy techniques leveraging a HI
 PAA-BAA compliant chatbot in the cloud\n\nPlease note the location at 
 Betaworks Studios.\n\nEvent Schedule:\n\n6:00 PM Networking & Food\, B
 eer\n6:30 PM Kickoff & Sponsors (IBM\, Betaworks Studios)\n6:40 PM Luc
 y He\, Flatiron Health\n7:15 PM Michael Frank\, Pfizer\n7:40 PM Nick L
 amm\, Talkspace\n8:00 PM Extended Q&A and Open Member Discussion\n\nPr
 esentation Summaries:\n\n1) When machine learning (ML) techniques are 
 applied to electronic medical records (EMRs) for research\, studies ca
 n be larger or done faster than non-automated studies on EMR data. How
 ever\, using ML may add clinical bias into the data extracted from EMR
 s. In this session\, we will present how to limit and measure such bia
 s\, which enables ML to be used in high-stakes research areas like can
 cer.\n\n2) Across the value chain of drug discovery\, AI/ML is being t
 ested as a way to improve the return on R&D investment and bring drugs
  to patients faster. In this talk we will explore our experience and t
 he challenges faced with applying ML across the phases of drug develop
 ment. We will look at how it can be used as a decision support tool\, 
 and lastly we will explore the disruptive impact that generative metho
 ds are having in creative fields and art\, including the art of design
 ing a drug.\n\n3) Psychotherapy\, as a primarily conversation-based me
 thod to treat mental illness\, is a tempting arena for conversational 
 AI. In fact\, one of the earliest chatbots\, ELIZA\, was believed to s
 imulate (or perhaps parody) the interactions between a psychotherapist
  and client. At Talkspace\, the leading online therapy platform\, we a
 re interested in how traditional psychotherapy techniques can be trans
 lated to a digital medium. We will discuss how we designed a HIPAA-BAA
  compliant chatbot that takes cues from psychotherapy\, and how these 
 principles might be applied to other contexts.\n\nSpeaker Bios:\n\n1) 
 Currently a software engineer at Flatiron Health\, Lucy He is on a tea
 m applying machine learning in oncology to ultimately improve patient 
 care and accelerate cancer research. The team helps build machine lear
 ning infrastructure for the company\, and data products for research p
 artners. Prior to Flatiron\, Lucy was at Jigsaw\, Alphabet’s’ geopolit
 ical think tank and technology incubator\, and at Google for Nonprofit
 s. While at Jigsaw\, she mostly focused on projects concerning digital
  censorship.\n\nLucy received a B.A. in computer science from Columbia
  University\, though spent her first year in college studying biology.
 \n\n2) Michael is a Director of Strategy in Pfizer’s World Wide R&D or
 ganization. His group’s mission is to advance strategy and innovation 
 in pharmaceutical development across all therapeutic areas. His curren
 t focus is expanding the role of Artificial Intelligence in drug disco
 very to increase productivity and identify new therapies to help patie
 nts.\n\nPrior to Pfizer\, Michael was a Strategy Consultant at Strateg
 y& (a PWC company) and PA Consulting. He was also VP of technology at 
 Phosplatin Therapeutics\, a NYC biotech startup\, and Director of BD a
 nd Commercial Operations at Forma Therapeutics (formerly CombinatoRx S
 ingapore).\n\nMichael lives in Brooklyn\, and in his spare time enjoys
  helping entrepreneurs get their ideas to market\; with several succes
 sful launches\, from KickStarter to biotech IPOs.\n\nHis own invention
 s include a kitchen gadget for SkyMall\, a dual language eReader platf
 orm\, and several medical diagnostics and products. He has an MBA from
  Columbia Business School\, and MS in Biomedical Engineering from Bost
 on University\, and a BA in Biology from University of Michigan.\n\n3)
  Nick Lamm is a Data Scientist at Talkspace\, the leading online thera
 py platform. As a former marketer\, Nick is interested in the intersec
 tion between machine learning and user-facing products. He is a strong
  supporter of Talkspace’s mission to increase access to mental healthc
 are.
LOCATION:Betaworks Studios  29 Little W 12th St  New York\, NY 10014  
 United States\, Betaworks Studios  29 Little W 12th St \,  New York\, 
 \, NY\, 10014
URL:https://www.eventbrite.com/e/machine-learning-in-healthcare-emr-an
 alysis-rd-roi-plus-hipaa-chatbots-tickets-51585016172?utm_source=listi
 ng&utm_medium=email&utm_content=eacn
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