Post on 10-Jul-2020
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
Subscribe to newsletter:
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