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As we build the program for this year's meeting, we're looking for session presenters as well as panel discussion participants that are knowledgeable in the topic areas below. If you're interested, please fill out the form.

Submit a Speaking Proposal

Poster Hall Hours

Tuesday, May 10, 2016
3:00 pm - 6:30 pm

Wednesday, May 11, 2016
10:00 am - 6:30 pm

Thursday, May 12, 2016
10:30 am - 2:00 pm

Presentations should be free of commercial bias as well as any references to commercial products and services. All selected faculty are required to disclose the existence of any significant financial interest. Financial interest may affect the consideration of your presentation/proposal application.

You will be notified by the Event Review Committee if your presentation has been selected.

Call for Speakers

The abstract submission deadline is Friday, May 22

September 22-23, 2020

Boston Convention and Exhibition Center (BCEC),
Boston, MA

September 22-23, 2020
Boston Convention and Exhibition Center (BCEC),
Boston, MA

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General Topics

Impacts of the Big Five Tech companies on AI and Healthcare
What does AI Transformation Mean for the Pharma & Biotech Industry?

AI and Clinical Trials

AI for Clinical Trial Design and Management ie. failing fast
Clinical Trial Protocol Quality – Metrics and Analytics
Panel Discussion on Conversational AI and Chat Bots (including targeting demographics, natural language understanding, and HIPAA/GDPR compliance)

Imaging and Radiology and AI

Panel Discussion: AI and the Role it Can Play in Imaging (review of multiple therapeutic areas, data analytics, integrated approaches using wearables, cost utilization etc.)
Imaging and AI for Oncology Trials – Case Studies and Overview

Data

Data Quality and Access – cleaning data, generating algorithms for patient consent, performing QC on data sets etc.
Data Silos and What the Mean – hospital data for healthcare delivery, wearables for consumers, clinical and pharma data for industry

Healthcare Delivery, Hospitals and Precision Medicine

Digitalization of Biological Data for Scenario and Patient Journey Modeling
AI in Hospitals for Operational Excellence, Clinical Decision Support and Predicting Treatment Outcomes

Privacy, IP and Data Consent

Regulatory Implications of AI Enabled INDs and NDAs
Panel Discussion: Data and Consent in the Drug Development Lifecycle
IP and Patients – Opportunities for Life Sciences & Healthcare – protecting tech, challenges in patents, what to patent