Logo: Data-Powered Strategies to Counteract Antibiotic Resistance

Data-Powered Strategies to Counteract Antibiotic Resistance

The emergence of antibiotic resistance in bacterial pathogens is a considerable threat to the way we practice medicine. Patients currently experience significant delays in diagnosing drug resistance, and by the time the resistance is recognized patients may have already suffered considerable disability. Even when it is recognized often the therapies that clinicians can offer are much more limited or have unfavorable side effect profiles. 

This symposium brings together thought leaders from academic to industry pursuing innovative strategies driven by large scale data such as genomics, transcriptomics, phenomics, health-services databases or internet and social media sources. Their common goals are the prevision use and development of antibiotics to counter drug resistance. The day is organized into three main thematic areas focusing on diagnostics, big data, and therapeutics. 

 

Event Program

 

Date

Wednesday, June 13, 2018, 8:00 am – 6:00 pm ET

Location

Joseph B. Martin Conference Center, 77 Ave. Louis Pasteur, Boston

Registration

REGISTER HERE via Eventbrite (conference is free but space is limited)

Optional: Purchase bagged lunch while registering

Twitter

@HarvardDBMI | #dataAMR18

Lodging

The Inn at Longwood Medical
342 Longwood Avenue, Boston MA 02135
Click here to reserve at the group rate of $219/night.

Group code: DATA2018

Cut off date: May 20, 2018

 

Questions?

Contact Libby Williams at libby@hms.harvard.edu

 

 

Conference Agenda

Time Topic & Speaker(s)
8:00–9:00am Check-In (coffee available)
9:00-9:15am

Welcome — Maha Farhat & Michael Baym, Harvard Medical School

9:15-9:30am

Opening Remarks — George Q. Daley, Dean, Harvard Medical School

9:30-10:10am

Synthetic biology-based diagnostics for infectious diseases

 Jim Collins, Massachusetts Institute of Technology

10:10-10:30am BREAK
10:30-11:10am

Using better data to perform more sophisticated determinations of antibiotic susceptibility and resistance 

Romney Humphries, Accelerate Diagnostics

11:10-11:50am

High risk antibiotic resistance clones, and how to detect them

Bill Hanage, Harvard T.H. Chan School of Public Health

11:50-1:00pm LUNCH (optional bagged lunch available for purchase)
1:00-1:40pm

Open data and the future of antibiotic resistance surveillance 

John Brownstein, Boston Children's Hospital

1:40-2:20pm

Using electronic healthcare record data to inform and evaluate interventions targeting healthcare-associated infection across the healthcare economy 

Céire Costelloe, Imperial College London

2:20-2:40pm BREAK
2:40-3:20pm

Mining the antibiotic resistome for new drug discovery opportunities

Gerry Wright, McMaster University

3:20-4:00pm

Innovations in high throughput technologies for new antibiotic development

 Deborah Hung, Broad Institute of MIT and Harvard

4:00-4:40pm

Omics Approaches for Antibacterial Discovery

Alita Miller, Entasis Therapeutics

4:40-5:00pm Closing Remarks — Isaac Kohane, Harvard Medical School
5:00-6:00pm Cocktail Reception