Topic Clinical Research
Topic
All
Artificial Intelligence / Machine Learning
Bioinformatics Software
Bulk RNA-Seq
Cancer
Clinical Research
Cloud
Data Resources
Data Science
Drugs
Flow Cytometry
Genomics
Metabolomics
Natural Language Processing
NCI Genomic Data Commons
NIDAP
NIH High Performance Unix Cluster Biowulf
Omics
Pathway Analysis
Programming
Proteomics
Reproducible Research
Sequencing Technologies
Single Cell RNA-Seq
Statistics
Variant Analysis
Format
All
Class
Distinguished Speaker
Lecture
Seminar
Webinar
Workshop
Event Organizer
All
BTEP
BYOB
CBIIT
CDSL
Earl Stadtman Investigator Program
Frederick National Lab for Cancer Research (FNLCR), Advanced Biomedical Computational Science (ABCS)
HPC Biowulf
NCI
NCI Containers and Workflows Interest Group
NCI Data Science Learning Exchange
NCI SS/SC
NHGRI
NIA
NIAID
NIH
NIH Common Fund
NIH Metabolomics Scientific Interest Group
NIH STRIDES Initiative
NIH Training Library
Office of Cancer Clinical Proteomics Research
R Studio
Scientific Library at Frederick
Past & Future Events
All
Only Past Events
Only Future Events
january
Event Details
Abstract: Data sharing is essential for the acceleration of science, but privacy concerns need to be addressed before clinical data can be properly shared for research. I will briefly introduce the
more
Event Details
Abstract:
Data sharing is essential for the acceleration of science, but privacy concerns need to be addressed before clinical data can be properly shared for research. I will briefly introduce the main issues in clinical data sharing, as perceived by researchers and patients, and describe how a combination of privacy technology (i.e., methods that make it difficult to identify a specific patient whose data are going to be shared) and policy can help strike a balance between data utility for researchers and privacy protection for the patient and healthcare institutions.
Speaker:
Lucila Ohno-Machado, MD, PhD, MBA
Professor of Medicine
Chair, Department of Biomedical Informatics
Associate Dean for Informatics and Technology
University of California San Diego
Join ZoomGov Meeting
https://nih.zoomgov.com/j/1617561452?pwd=bE5YOVgrL2tHbFZidUJQOWZzdGlpZz09
Meeting ID: 161 756 1452
Passcode: 586729
One tap mobile
+16692545252,,1617561452#,,,,,,0#,,586729# US (San Jose)
+16468287666,,1617561452#,,,,,,0#,,586729# US (New York)
Dial by your location
+1 669 254 5252 US (San Jose)
+1 646 828 7666 US (New York)
Meeting ID: 161 756 1452
Passcode: 586729
Find your local number: https://nih.zoomgov.com/u/ayFfvRtd4
Join by H.323
161.199.138.10 (US West)
161.199.136.10 (US East)
Meeting ID: 161 756 1452
Passcode: 586729
*****
To follow the NIAID Data Science Interest Group, subscribe to the listserv by sending an email to LISTSERV@LIST.NIH.GOV with the following text in the message body (Replace “FirstName/LastName” with your name):
subscribe NIAID-DATASCIENCE-INTEREST-GROUP FirstName LastName
******
For questions, please contact Steve Tsang <steve.tsang@nih.gov>
Time
(Friday) 12:00 pm - 1:00 pm
Location
Online
Organizer
NIAIDNIAIDsteve.tsang@nih.gov
13jan11:00 am12:00 pmArtificial Intelligence and Informatics Interventions for Patient-Centered Care
Event Details
Register now and join us via Webex. Speaker: Noémie Elhadad, Ph.D. Columbia University In this talk, Dr. Elhadad will discuss how artificial intelligence and informatics improve patient-centered healthcare. She will show how patient-record
more
Event Details
Register now and join us via Webex.
Speaker:
Noémie Elhadad, Ph.D.
Columbia University
In this talk, Dr. Elhadad will discuss how artificial intelligence and informatics improve patient-centered healthcare. She will show how patient-record summation tools can help clinicians make sense of seemingly overwhelming amounts of patient data at the point of care, and how “mHealth” tools can be used to help patients understand and manage healthcare decisions.
About the Data Science Seminar Series
The National Cancer Institute’s (NCI) Center for Biomedical Informatics and Information Technology (CBIIT) Data Science Seminar Series presents talks from innovators in the data science and cancer research communities.
To view upcoming speakers or view recordings for past presentations, visit Data Science Seminar Series. Follow the conversation @NCIDataSci and #DataSciSeminar. For more information about NCI’s Center for Biomedical Informatics and Information Technology (CBIIT) visit: datascience.cancer.gov
Time
(Wednesday) 11:00 am - 12:00 pm
Location
Online
Organizer
CBIITCBIIT