CTSA Program Webinar

Wednesday, July 24, 2019

2:00 PM – 3:00 PM ET

Agenda Time Topic Presenter

2:00 PM - 2:05 PMWelcome

NCATS and CTSA Program Updates

Clare Schmitt

Erica Rosemond

2:05 PM - 2:35 PMRare Diseases Clinical Research

Network (RDCRN)

Anne Pariser, MD

Director

Office of Rare Diseases

Research

NCATS NIH

2:35 PM - 2:50 PM

2:50 PM – 2:55 PM CLIC Updates

2:55 PM - 3:00 PM Adjourn

2

Machine Learning & Artificial Intelligence

Applications In Translational Science

Un-Meeting Report-Out

Martin S. Zand, MD, PhD

Martin S. Zand, MD, PhD

NCATS and CTSA Program Updates

Clare Schmitt & Erica Rosemond

NIH HEAL (Helping to End Addiction Long-termSM) Initiative Opportunity Announcements

• All HEAL FOAs

• Acute to Chronic Pain Signatures Program: Multisite Clinical Center Acute Pain from Musculoskeletal Trauma or Acute Peri-operative Pain: NOT-RM-19-010 Notice of Intent to Publish a Funding Opportunity Announcement for the NIH Common Fund

• Accessing NCATS Preclinical Capabilities through HEAL Collaborations (NOT-TR-19-018). Multiple receipt dates.

4

NIH Loan Repayment Program – Applications Soon!

• Application Period: Annually from September 1 through November 15, at 8:00 PM EST

• Extramural Loan Repayment Program for Clinical Researchers (LRP-CR) (NOT-OD-19-116)

• Extramural Loan Repayment Program for Pediatric Research (LRP-PR) (NOT-OD-19-117)

• Extramural Loan Repayment Program for Health Disparities Research (LRP-HDR) (NOT-OD-19-118)

• Extramural Clinical Research Loan Repayment Program for Individuals from Disadvantaged

Backgrounds (LRP-IDB) (NOT-OD-19-119)

• Extramural Loan Repayment Program for Contraception and Infertility Research (LRP-CIR) (NOT-OD-

19-120)

• Additional detailed information about each LRP is provided at

www.lrp.nih.gov/about_the_programs/index.aspx and www.lrp.nih.gov/apply

• https://clic-ctsa.org/news/clic-content/early-career-scientists-here%E2%80%99s-how-make-nih-loan-

repayment-programs-work-you

• Webinar to KL2 PIs and Scholars about the LRP: https://clic-ctsa.org/education/nih-repays-your-

student-loans-ctsa-program-webinar

Budget Requests with TL1 Programs • Notice released July 5, 2019: https://grants.nih.gov/grants/guide/notice-files/NOT-TR-19-026.html

• Recommended budgets for the TL1 awards are based on the size of the hub, defined as the U plus the K components, and are considered separately:

• Small hub: $400K direct cost (DC) (total anticipated CTSA amount <$4.5M DC)

• Medium hub: $600K direct cost (DC) (total anticipated CTSA amount $4.5-$6M DC)

• Large hub: $800K direct cost (DC) (total anticipated CTSA amount >$6M DC)

• While the maximum recommended request is explained under Budget information, the awarded slots will depend upon the scientific and technical merit of the proposed program as determined by scientific peer review and the relevance of the proposed program to programmatic priorities. Further consideration will address program goals and resources, educational resource sharing, and the availability of funds. Applicants should expect that final budgets may be adjusted post-review depending on these factors and the need to align final budgets close to the stated recommended budget limits. Note that the institution should request full needs for trainee stipends and tuition and fees in the application and that NCATS will calculate final budgets at the time of award. Staff salaries and non-trainee personnel travel for the optional NRSA Training Core may be included in the Administrative core of the UL1 and is not to be included in the recommended budget for the NRSA Training Core. The staff salaries and non-trainee personnel travel are also not included in the maximum total costs for the UL1 and KL2 components.

• Inquiries: Email: CTSAFOAQuestions@mail.nih.gov

What is xTRACT & Why Use It?

• The Extramural Trainee Reporting And Career Tracking (xTRACT) system is a module in the eRA Commons that allows applicants, grantees, and assistants to create Research Training Data (RTD) tables for NIH progress reports and institutional training grant applications.

• The difference between completing the training data tables by using templates in Word and preparing them in xTRACT is that because xTRACT is integrated with eRACommons, some training data will be pre-populated in the system, including trainee names, selected characteristics, institutions, grant numbers, and subsequent NIH and other HHS awards.

• Once an initial table set has been completed in xTRACT, either for an application or Research Performance Progress Report, it can then be copied and edited for the following year’s submission.

Notice of Transition to the xTRACT System for Preparing Research Training Data Tables

• Beginning with RPPRs due on or after October 1, 2019 (FY 2020), recipients must create the required training data tables for submission with NIH and AHRQ T15, T32, T90/R90, and TL1 progress reports via the xTRACT system. System validations in the RPPR module will check to ensure that uploaded PDFs of the data tables were created via xTRACT, and users will not be able to submit RPPRs that are not in compliance.

• NOT-OD-19-108: https://grants.nih.gov/grants/guide/notice-files/NOT-OD-19-108.html

• xTRACT help and tutorials: https://era.nih.gov/help-tutorials/xtract

• Presentation with the CTSA Program Administrators: Wednesday August 21 from 1-2 PM

Open Researcher and Contributor Identification

• NOT-OD-19-109—Requirement for ORCID iDs for Individuals Supported by Research Training,

Fellowship, Research Education, and Career Development Awards Beginning in FY 2020

• In October 2019, the requirement for ORCID identifiers will be incorporated into the

appointment process for trainees, scholars, and participants supported by institutional research

training, career development, and research education awards that require appointments through

the xTrain system, including:

• T03, T15, T32, T34, T35, T37, T42, T90/R90, TL1, TL4, TU2, K12/KL2, R25, R38, RL5, RL9

• At the time of appointment, the xTrain system will check whether appointees have ORCID iDs

and appointments will be not be accepted for agency review unless an ORCID iD is linked to the

individual's eRA Commons Personal Profile.

• Create an ORCID profile: https://orcid.org/register

• Link ORCID profile to personal profile in eRA Commons: https://era.nih.gov/erahelp/ppf/default.htm#PPF_Help/8_2_orcid.htm%3FTocPath%3D_____13

• https://nexus.od.nih.gov/all/2017/11/15/teaming-with-orcid-to-reduce-burden-and-improve-transparency/

9

Rare Diseases Clinical Research Network (RDCRN)

Anne Pariser, MDDirector

Office of Rare Diseases Research

NCATS NIH

CTSA Webinar

July 24, 2019

Office of Rare Diseases Research (ORDR)

“Accelerating rare diseases research

to benefit patients”

ORDR facilitates coordination between multiple stakeholders in the rare diseases community, including

scientists, clinicians, patients, and patient groups

Rare Diseases Quick Facts

• Rare disease (aka Orphan disease) defined in US as:

“Disease or condition affecting fewer

than 200,000 persons in the US”

• Affect ~30 million people in the US

• ~7,000 diseases and conditions• ~80% are genetic, ~50% manifest in children

• ~200 “new” diseases recognized each year

• 95% of rare diseases have no approved therapies

• Collectively, a large public health consideration

Orphan Drug Act (ODA) 1983, amended for prevalence 1984

Rare Disease Act (RDA) 200212

0

500

1000

1500

2000

2500

3000

3500

4000

4500

5000

5500

6000

6500

Disorders with Known Molecular Basis

Source: Online Mendelian Inheritance in Man, Morbid Anatomy of the Human Genome

~500 with

therapy

• Past ~2 years:

Time of Great Opportunity

https://www.cnn.com/2017/08/30/health/fda-first-

gene-therapy-leukemia/index.html

https://www.nytimes.com/2017/10/18/health/

immunotherapy-cancer-kite.html

https://www.washingtonpost.com/news/to-your-

health/wp/2017/12/18/fda-approves-first-gene-therapy-for-an-

inherited-disease-childhood-

blindness/?utm_term=.c5ca8ed7ed5f

https://www.empr.com/home/news/first-gene-therapy-for-

pediatric-patients-with-spinal-muscular-atrophy-gets-fda-

approval/

http://www.pmlive.com/pharma_news/orphan_drugs_dominate_fdas_record-

breaking_year_1273631

15

FDA CDER New NDA/BLA Approvals 2014-2018

Nu

mb

er o

f A

pp

rova

ls

Drugs@FDA: https://www.accessdata.fda.gov/scripts/cder/daf/

24 23

13

2825

17 21

9

18

34

0

10

20

30

40

50

60

70

2014 2015 2016 2017 2018

Common Rare

4144

46

59

22

ORDR Programs and Initiatives

Knowledge and Data Research and Collaboration

GARD Cluster

Genetics And Rare Diseases

(GARD) Information Center

Rare Diseases Registry

Program (RaDaR)

NCATS “Toolkit” for Patient-

focused Drug Development

Rare Diseases Clinical

Research Network (RDCRN)

NCATS Scientific

Conferences Program

Bench to Bedside Grants

Clinical Trial Readiness

Grants

https://ncats.nih.gov/rdcrn/

PaVe-GT

Rare Diseases Clinical Research Network (RDCRN)

• Network of “Centers of Excellence” grouped around rare disease (RD) therapeutic areas

• RDCRN’s purpose• Facilitate RD research through the establishment or continuation of

RD clinical research consortia

• To have physicians, scientists, and multi-disciplinary teams work together with patient advocacy groups (PAGs) to study rare diseases

urvtiin@mail.nih.govTiina Urv, PhD, Program Director

Rare Disease Act 2002, Pub.L. 107-280, November 6, 2002. https://history.nih.gov/research/downloads/pl107-280.pdf

RDCRN (2)• Established in 2002

• In 3rd 5-year award cycle

• Current cycle 2014-2019 RDCRN3• 21 consortia

• Data Management and Coordinating Center (DMCC)

• Data sharing, data coordination

• Criteria• Grouped by therapeutic area

• >3 diseases or conditions within a consortium

• Multi-center within a consortium

• Co-funding NCATS + 9 other ICs

• At least 1 PAG

• >2 studies

• 1 must be observational, such as a registry or natural history study

• Training

• Currently have ~200 rare diseases in the RDCRN

PI: Dr. Michio Hirano,Columbia University

• Established in 2008 (RDCRN2)• 14 sites in US and Canada• >30 disorders• 3 NIH cofunders

• NCATS, NINDS, NICHD

• UMDF part of NAMDC

Mission Statement*1. Awareness2. Diagnosis3. Patient support4. Basic research5. Clinical trials

*https://www.rarediseasesnetwork.org/cms/namdc/

NIH Partners

NCATS, NINDS, NICHD, NHLBI,

NIMH, NIDDK, NIDCR,

NIAMS, NIAID, ODS

Data Management and Coordinating Center

With thanks to Tiina Urv, PhD

https://ncats.nih.gov/rdcrn

RDCRN3

# PI Name Organization Consortium

1 BDD LEE, BRENDAN Baylor College of MedicineBrittle Bone Disorders Consortium of the Rare Disease Clinical

Research Network

2 NEPTUNE KRETZLER, MATTHIAS University of MichiganNephrotic Syndrome Rare Disease Clinical Research Network

(NEPTUNE)

3 VCRC MERKEL, PETER A University of Pennsylvania Vasculitis Clinical Research Consortium (VCRC)

4 UCDC GROPMAN, ANDREA LYNNE Children's National Health System Urea Cycle Disorders Consortium (UCDC)

5 GMDCC KNOWLES, MICHAEL R University of North Carolina Genetic Disorder of Mucocilary Clearance (GMDCC)

6 RETT PERCY, ALAN KENNETH University of Alabama/South FloridaRett syndrome, MECP2 Duplications, and Rett-related Disorders

Natural History (RETT)

7 INC SHY, MICHAEL E University of Iowa The Inherited Neuropathy Consortium (INC) RDCRC- Overall

8 PITDC PUCK, JENNIFER M University of California, San Francisco Primary Immune Deficiency Treatment Consortium (PITDC)

9 RKSC MILLINER, DAWN SCHMAUTZ Mayo ClinicNephrolithiasis and Kidney Failure: the Rare Kidney Stone Consortium

(RKSC)

10 PC DESNICK, ROBERT J Icahn School of Medicine at Mount Sinai Porphyria Rare Disease Clinical Research Consortium (RDCRC)

11 STAIR RIZZO, WILLIAM B University of Nebraska Medical Center Sterol and Isoprenoid Diseases Consortium (STAIR)

12 BVMC LAWTON, MICHAEL T University of California, San FranciscoBrain Vascular Malformation Consortium (BVMC): Predictors of clinical

course

13 ARD BIAGGIONI, ITALO Vanderbilt University Autonomic Rare Diseases Clinical Research Consortium

14 LDN WHITLEY, CHESTER B University of Minnesota Lysosomal Disease Network (LDN)

15 NAMDC HIRANO, MICHIO Columbia University North American Mitochondrial Disease Consortium NAMDC

16 DC JINNAH, HYDER A Emory University Dystonia Coalition (DC)

17 CEGIR ROTHENBERG, MARC E Cincinnati Children's Hospital Medical CenterConsortium of Eosinophilic Gastrointestinal Disease Researchers

(CEGIR)

18 RLDC TRAPNELL, BRUCE C Cincinnati Children's Hospital Medical Center Rare Lung Diseases Consortium RLDC

19 ARTFL BOXER, ADAM L Mayo ClinicThe Frontotemporal Lobar Degeneration Clinical Research

Consortium (ARTFL)

20 DSC SAHIN, MUSTAFA Harvard UniversityDevelopmental Synaptopathies Associated with TSC, PTEN and

SHANK3 Mutations

21 CREATE BENATAR, MICHAEL University of MiamiClinical Research in ALS & related disorders for Therapeutic

Development (CREATE)

22 DMCC KRISCHER, JEFFREY P. University of South Florida Data Management and Coordinating Center (DMCC)

RDCRN3 Consortium – CTSA Co-Locates

CTSA hub located at same site

NIH Partners

NCATS, NINDS, NICHD, NHLBI,

NIMH, NIDDK, NIDCR,

NIAMS, NIAID, ODS

Coming Soon - RDCRN4

RDCRN4

• 4th 5-year cycle of the network• Notice of Awards coming soon

• Purpose: To promote highly collaborative, multi-site, patient-centric, translational and clinical research to address unmet clinical trial readiness needs

• “If you’re not in the clinic, why not”

• Requirements (5)• Overall

• Administrative

• Clinical Research Projects

• Pilot/Feasibility

• Career Enhancement

RDCRN4: Some New Features

• Single IRB required

• External Advisory Committee

• Data sharing

• NIH Program Team developing SOPs and other common templates

• DMCC• Cloud computing services

• Support and enhance collaborative informatics across the network

• Facilitate information sharing, data standards, best practices

RDCRN in the News: Lysosomal Disease Network

https://apnews.com/4ae98919b52e43d8a8960e0e260feb0a

Hunter Syndrome (MPS II) – Gene Editing

"It's kind of humbling" to be

the first to test this, said

Madeux, who has a

metabolic disease called

Hunter syndrome. "I'm

willing to take that risk.

Hopefully it will help me

and other people."

More RDCRN News: Primary Immune Deficiency Therapeutics Consortium

https://www.nejm.org/doi/full/10.1056/NEJMoa1815408?url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&rfr_dat=cr_pub%3Dpubmed

Gene Therapy Meetings

• Save-the-Date• AAV-mediated Gene Therapy and Manufacturing Considerations• NCATS-FDA CBER co-sponsor• January 28-29, 2020• Natcher Auditorium

• Coming Soon ~June 2020• Systemic Immunogenicity Considerations for AAV-mediated Gene Therapy

• Recent meetings, available on NCATS events page• The Growing Promise of Gene Therapy Approaches

• August 2018• NCATS-FDA CBER Co-sponsored

• Workshop on CNS Immunogenicity Considerations for AAV-mediated Gene Therapy• June 2019

https://ncats.nih.gov/events/past

Connect With NCATS https://ncats.nih.gov/connect

GARD: rarediseases.info.nih.gov

Website: ncats.nih.gov

Facebook: facebook.com/ncats.nih.gov

Twitter: twitter.com/ncats_nih_gov

Toolkit: https://rarediseases.info.nih.gov/toolkit

RaDaR: rarediseases.info.nih.gov/radar

ORDR: ORDR@NIH.gov

Anne.Pariser@NIH.gov

Questions

The University of Rochester Center for Leading Innovation and Collaboration (CLIC) is the coordinating center for the Clinical and Translational Science Awards (CTSA)

Program, funded by the National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health (NIH), Grant U24TR002260.

Machine Learning and Artificial Intelligence Applications in Translational Science: Un-Meeting Deborah J. Ossip & Martin S. Zand, Co-Directors, CLIC

Machine Learning and Artificial Intelligence Applications in Translational Science

• Location

• University of Rochester

• Rochester, NY

• Saunders Research Building

• Date

• Saturday, June 1, 2019

• Un-Attendees

• 96

Un-Meeting Overarching Topic

Machine Learning and Artificial Intelligence

Focus Development, enhancement, standardization,

and regulation

Goals New ideas and collaborations, advance

research, explore innovative approaches

Potential

outcomes

New software, new collaborations, new areas

of focus, updated regulations, refining

integration

Un-Meeting Concept

• Un-Attendee-driven

• Semi-structured

• Emergent

Erika Augustine, MD

University of Rochester

Medical Center

Erich Senin Huang, MD,

PhD

Duke University School of

Medicine

Peter Tarczy-Hornoch,

MD, FACMI

University of Washington

Peter L. Elkin, MD, MACP,

FACMI, FNYAM

University of Buffalo, Jacobs

School of Medicine and

Biomedical Sciences

Jeanne Holden-Wiltse,

MPH, MBA

University of Rochester

Medical Center

Shannon McWeeney,

PhD

Oregon Health & Science

University

Kevin Fiscella, MD

University of Rochester

Medical Center

Scott J Steele, PhD

University of Rochester

Medical Center

Xinzhi Zhang, MD, PhD,

FACE, FRSM

National Center for

Advancing Translational

Sciences (NCATS)

Kenneth R. Gersing, MD

National Center for

Advancing Translational

Sciences (NCATS)

Laura Sugarwala MBA, RD

University of Rochester

Medical Center

Robert White MS

University of Rochester

Medical Center

Steering Committee

Attendees

45 CTSA Program Hubs

Travel stipends provided

to 38 individuals

27 States + DC

Primary Discipline/

Field of Interest

Attendee Position (n= 96)

Other:

Department Directors

Analysts

Managers in Informatics

Data Science Engineers

Staff Scientists

Researchers

Innovation: Rhythm (Sociometric) Badge Technology

• Team Science research

• Collaboration with MIT Media Lab

• 84 participants

• Badges record relative locations of

participants, and vocal activity

• Goal: To study interactions and

relate them to survey data

and outcomes

• IRB approved, informed consent

7:45 AM Registration/Networking/Breakfast

8:30 AM Welcome and Opening Remarks

8:45 AM Framing the Issues: 4 slides x 4 minutes

9:05 AM To “The Board” / Idea Generation

9:50 AM Breakout Sessions: 2 x 45 minutes

11:30 AM Lunch/Networking

12:20 PM Framing the Issues: 4 slides x 4 minutes

12:40 PM Idea Generation

1:10 PM Breakout Sessions: 2 x 45 minutes

2:50 PM Closing Remarks

“Un-Agenda”

4 x 4 Presenters

Morning Presenters

Afternoon Presenters

Gang Luo, PhD University of Washington

M. Ehsan Hoque, PhDUniversity of Rochester

Chunhua Weng, PhD, FACMIColumbia University

Ram Samudrala, PhDState University of NY at Buffalo

Amar Das, MD, PhD IBM

Parsa Mirhaji, MD, PhD Albert Einstein College of

Medicine

Shyam Visweswaran,

MD, PhD University of Pittsburgh

Erich Huang, MD, PhD Duke University School of Medicine

4x4 PresentationsMorning Afternoon

1. Automatically Explaining

Machine Learning

Prediction Results: A

Demonstration on Type 2

Diabetes Risk Prediction

2. Natural Language

Processing in the Clinical

Setting

3. Leveraging Big Clinical Data

to Support Precision

Medicine

4. Computational Analysis of

Novel Drug Opportunities

1. Ensuring Good Clinical

Practice in Medical AI

Research

2. Trustworthy AI

3. A Learning Electronic

Medical Record System to

Highlight Relevant Patient

Information

4. Sharing Data Science

Workflows…& Spiderman

Idea Generation

Breakout Sessions

Morning Session 1

• Data Issues

• ML Algorithmic Bias

• Clinical Implementation of AI/ML

• Dimension Reduction and Feature Identification

• Mobile Sensor Data and AI Analysis

Morning Session 2

• NLP Data Harvesting of Unstructured Data

• Clinical Decision Support and AI and ML

• Time Series ML Methods (Voice, Denoising, Speech)

• AI Genomics Phenotyping

• Interpretable Models

Afternoon Session 1

• AI & ML “My Favorite Methods” Discussion

• Image AI and Multimodal Data

• Drug/Pharma Modeling and Prediction

• Organizing Effective Cross-Disciplinary AI Teams

• AI Model Life Cycle Management

Afternoon Session 2

• ML Ethics, Policy, Data Access

• ML in Grants and Publications

• Feature Extraction and Visualizing High Dimensional Data

• AI & ML Research Design

• AI/ML Virtual Clinical Trials

Breakout

Sessions

Networking

Overall Rating

0

2

4

6

8

10

12

14

16

18

20

1 2 3 4 5 6 7 8 9 10

Co

un

t Mean = 8.5

Median = 8.5

Overall Experience Rating

Rating Scale:0 = lowest10 = highest

Did you make new connections at the Un-Meeting?

(4, 6.8%)

(55, 93.2%)

0 20 40 60

No

Yes

Count

Types of Connections

Theme Frequency Comments

Potential

Research

Collaborators

34

Potential research collaboration.

Potential research collaborator and researchers

working on similar or complementary areas that

could serve a good point of reference.

Potential research collaborator, potential synergy

paper co-authors.

Expertise

10

Content experts.

Had the chance to talk to people with other

expertise and to understand the challenges/issues

for these areas.

Other/Specific

7

University of Rochester Bio Informatics research

group, and public health informatics research

group.

Added to my professional network but unlikely to

collaborate at this time.

Theme Frequency Comments

General Subject Knowledge

17

Understanding perspective of ML/AI from other CTSA sites

and participants.

I learned so much about new ideas, the experiences and

challenges of others working on these topics, and how to

move my work forward. It was extremely valuable.

There are many interesting research areas that utilize

machine learning/AI in medical applications.

Shared Problems/Limitations

9

Common problems in applications of artificial intelligence.

Solutions to specific ML problems, tips on navigating the ML

space.

New Tools/Novel Methods

5

New models and application areas.

Methods for feature extraction, phenotype anthologies,

interpretability of models.

Other/Specific

6

Some ideas about how to capture some measures that I am

specifically interested in.

Did you learn anything new from this Un-Meeting?

What aspects of the Un-Meeting were particularly helpful?

Theme Frequency Comments

Networking

11

Networking.

Networking and finding out what other scientists

do in their research projects.

Interact and connect with other people.

Format

8

Sufficient unstructured tine to meet and talk to

attendees.

Casual atmosphere led to more sharing.

Breakout/Discu

ssion Sessions 8

Breakout sessions.

Enabling interactions/discussions among

researchers in multiple disciplines.

4x4

Presentations 3

The 4x4 presentations were very informative.

Other

5

Attendees have relatively similar research goals

but with complementary skillsets, making

collaboration highly possible.

Reception the night before.

(8, 16.0%)

(13, 26.0%)

(10, 20.0%)

(23, 46.0%)

(13, 26.0%)

(17, 34.0%)

0 5 10 15 20 25

Count

Collaborate on Grant Proposal

Implement New Research Idea

Develop Pilot Project / Program

Organize a follow-up meeting in

my state/region

Other

Collaborate on Publication

Which of these actions do you intend to pursue as a result

of the Un-Meeting?

Request for Applications

Un-Meetings

• Apply to host an attendee-driven event without

traditional rules and structure

• One hub will receive funds, planning guidance and

materials, and high-level coordination from CLIC

Application deadline: September 11, 2019

• Learn more: https://clic-ctsa.org/funding/un-meeting-request-

applications

• Contact: unmeetings@clic-ctsa.org

Synergy Papers

• Apply to collaborate on a manuscript that showcases

a new or transformed assessment or perspective

relative to translational science

• Receive funds and administrative support from CLIC

Application deadline: October 2, 2019

• Learn more: https://clic-ctsa.org/funding/synergy-paper-request-

applications

• Contact: synergy_papers@clic-ctsa.org

More Information

• https://clic-ctsa.org/events/un-meeting-machine-learning-artificial-

intelligence-applications-translational-science

• Presentations

• Attendee information

• Summary

• Request for Applications and Un-Meeting Event Guide

• https://clic-ctsa.org/funding/un-meeting-request-applications

• unmeetings@clic-ctsa.org

CLIC UpdatesMartin J. Zand, MD, PhD

DTF-To-EC Transition Plans

• Opportunity to review and enhance purpose

• Plans to include:• Suggestion for current DTF: change, no change,

sunset• Sunset plans for each current WG• Thoughts on potential new WGs & Discussion

Forums

• Plans due July 31

• SC Review of Plans: 8/5-8/12

• Discussion on 8/12 SC call

2019 FALL CTSA PROGRAM MEETING

September 26 – 27, 2019

Hyatt Regency Crystal City

Arlington, VA

Registration is

Open!

New Registration Process!

• Registration is easier than ever with the CLIC website!

• You will need to be logged into your CLIC account to register (if you do not have a log-in, you can sign up on the CLIC website)

• Just a few benefits to this change:• Auto-filling your registration form with information from your account

• Confirm or edit your registration details directly from your account page

• Resend the confirmation letter for your records

• Visit https://clic-ctsa.org/events/2019-fall-ctsa-program-meeting for additional meeting details and the registration link

CTSA Hub Poster Session

• The 2019 Fall CTSA Program Meeting will be kicked off with a Hub Poster Session.

• Thursday, September 26th from 6:00 p.m. to 8:00 p.m. ET

• Theme: CTSA Program Optional Cores

• 1 poster per hub

• Electronic versions of the posters will be available

• You will need to log into the website before you click “to submit a poster”

• Submission Deadline COB August 23, 2019

CLIC/NCATS Communication ChannelsSharing Content: CLIC Website

News (Consortium News & WOW! Factor stories):

clic-ctsa.org/news

Events: clic-ctsa.org/events

Resources (Resource Center): clic-

ctsa.org/resource-center

Educational tools (Education Clearinghouse): clic-

ctsa.org/education

Funding opportunities (RFAs): clic-ctsa.org/funding-

opps

Career & training opportunities (Opportunities

Board): clic-ctsa.org/opportunities_board

CLIC Forum

Ask the consortium questions, discuss best practices

and share opportunities: clic-ctsa.org/forum

CLIC Activity Stream

A ‘to-the-minute’ stream of the newest content on the

CLIC website, accessible by logging in

Twitter NCATS: twitter.com/ncats_nih_gov

CLIC: twitter.com/CLIC_CTSA

Hashtag: #CTSAProgram

CLIC Suggestion Box

Suggest topics of interest for discussion: clic-

ctsa.org/contact/suggestion-box

CLIC Contact Us

Have a question and not sure where to direct it?:

clic-ctsa.org/contact

Newsletters CTSA Ansible: clic-ctsa.org/newsletter-

signup/5ed5d33016

CLIC News Roundup: clic-ctsa.org/newsletter-signup/0c3e7d6ba9

NCATS e-Newsletter: ncats.nih.gov/enews

CTSA Program Initiative Channels

ACT Network

Website: http://www.actnetwork.us/National

Subscribe to newsletter:

https://bit.ly/2HQGsM5

IREx

Website: https://www.irbexchange.org

Subscribe to newsletter: https://bit.ly/2TtQG7b

National Center for Data to Health

(CD2H)

Website: http://www.actnetwork.us/National

Subscribe to newsletter:

https://bit.ly/2HQGsM5

Recruitment Innovation Center (RIC)

Website:

https://trialinnovationnetwork.org/recruitment-

innovation-center

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