Healthcare is a field of incredible challenges & life changing opportunities & machine learning can helpmany facets.
We have THREE excellent speakers from Flatiron Health, Pfizer, & Talkspace covering:
Machine learning techniques to reduce bias in Electron Medical Records (EMR) analysis
ML improving ROI for drug R&D & even design of new drugs
Psychotherapy techniques leveraging a HIPAA-BAA compliant chatbot in the cloud
Please note the location at Betaworks Studios.
6:00 PMNetworking & Food, Beer6:30 PMKickoff & Sponsors (IBM, Betaworks Studios)6:40 PMLucy He, Flatiron Health7:15 PMMichael Frank, Pfizer7:40 PM Nick Lamm, Talkspace8:00 PMExtended Q&A & Open Member Discussion
1) When machine learning (ML) techniques are applied to electronic medical records (EMRs) for research, studies can be larger or done faster than non-automated studies on EMR data. However, using ML may add clinical bias into the data extracted from EMRs. In this session, we will present how to limit & measure such bias, which enables ML to be used in high-stakes research areas like cancer.
2)Across the value chain of drug discovery, AI/ML is being tested as a way to improve the return on R&D investment & bring drugs to patients faster. In this talk we will explore our experience & the challenges faced with applying ML across the phases of drug development. We will look at how it can be used as a decision support tool, & lastly we will explore the disruptive impact that generative methods are having in creative fields & art, including the art of designing a drug.
3)Psychotherapy, as a primarily conversation-based method to treat mental illness, is a tempting arena for conversational AI. In fact, one of the earliest chatbots, ELIZA, was believed to simulate (or perhaps parody) the interactions between a psychotherapist & client. At Talkspace, the leading online therapy platform, we are interested in how traditional psychotherapy techniques can be translated to a digital medium. We will discuss how we designed a HIPAA-BAA compliant chatbot that takes cues from psychotherapy, & how these principles might be applied to other contexts.
1) Currently a software engineer at Flatiron Health, Lucy He is on a team applying machine learning in oncology to ultimately improve patient care & accelerate cancer research. The team helps build machine learning infrastructure for the company, & data products for research partners. Prior to Flatiron, Lucy was at Jigsaw, Alphabet's' geopolitical think tank & technology incubator, & at Google for Nonprofits. While at Jigsaw, she mostly focused on projects concerning digital censorship.
Lucy received a B.A. in computer science from Columbia University, though spent her first year in college studying biology.
2)Michael is a Director of Strategy in Pfizer's World Wide R&D organization. His group's mission is to advance strategy & innovation in pharmaceutical development across all therapeutic areas. His current focus is expanding the role of Artificial Intelligence in drug discovery to increase productivity & identify new therapies to help patients.
Prior to Pfizer, Michael was a Strategy Consultant at Strategy& (a PWC company) & PA Consulting. He was also VP of technology at Phosplatin Therapeutics, a NYC biotech startup, & Director of BD & Commercial Operations at Forma Therapeutics (formerly CombinatoRx Singapore).
Michael lives in Brooklyn, & in his spare time enjoys helping entrepreneurs get their ideas to market; with several successful launches, from KickStarter to biotech IPOs.
His own inventions include a kitchen gadget for SkyMall, a dual language eReader platform, & several medical diagnostics & products.He has an MBA from Columbia Business School, & MS in Biomedical Engineering from Boston University, & a BA in Biology from University of Michigan.
3)Nick Lamm is a Data Scientist at Talkspace, the leading online therapy platform. As a former marketer, Nick is interested in the intersection between machine learning & user-facing products. He is a strong supporter of Talkspace's mission to increase access to mental healthcare.
This event is made possible with the support ofIBMandBetaworks Studios.