National Library of Medicine | The Beginnings of Machine Learning at NLM (Audio Described Version) @NLMNIH | Uploaded September 2024 | Updated October 2024, 4 hours ago.
The Lister Hill National Center for Biomedical Communications (LHNCBC) celebrated its 50th anniversary in FY2018. Established by an act of Congress in 1968 “as an urgently required facility for the improvement of communications necessary for health, education, research, and practice,” the Center has led and continues to lead a number of significant research and development initiatives in the dissemination of high quality imagery, natural language processing, high-speed access to biomedical information, consumer health and medical informatics, multimedia visualization, data science, and machine learning.
Non-AD version - youtube.com/watch?v=Yi3Ikv1SrdY
To commemorate this milestone, the Audiovisual Program Development Branch produced a 50th anniversary video and graphical timeline which were presented at the September 2018 Board of Scientific Counselors meeting. The video highlights LHNCBC’s major accomplishments encompassing such significant achievements as Visible Human, ClinicalTrials.gov, UMLS, MARS, Genetics Home Reference, and Profiles in Science. The timeline exhibit, prominently featured in the Lister Hill Center lobby, chronicles the parallel history of communications technologies, the evolution of interoperable communications standards and biomedical initiatives over five decades, from early satellite voice and image research and development to today’s trans-NIH Big Data to Knowledge initiative.
For 50 years, the Directors, Board of Scientific Counselors, and the diverse and talented researchers, developers, and LHNCBC staff have worked together to fulfill the 1965 vision of Senator Lister Hill, “We must develop a communications system so that the miraculous triumphs of modern science can be taken from the laboratory and transmitted to all in need.” The Center continues its work devoted to this mission in support of NLM programs and products, for “all in need.”
#humanhealth #medicalhistory #machinelearning #audiodescription #audiodescriptions
The Lister Hill National Center for Biomedical Communications (LHNCBC) celebrated its 50th anniversary in FY2018. Established by an act of Congress in 1968 “as an urgently required facility for the improvement of communications necessary for health, education, research, and practice,” the Center has led and continues to lead a number of significant research and development initiatives in the dissemination of high quality imagery, natural language processing, high-speed access to biomedical information, consumer health and medical informatics, multimedia visualization, data science, and machine learning.
Non-AD version - youtube.com/watch?v=Yi3Ikv1SrdY
To commemorate this milestone, the Audiovisual Program Development Branch produced a 50th anniversary video and graphical timeline which were presented at the September 2018 Board of Scientific Counselors meeting. The video highlights LHNCBC’s major accomplishments encompassing such significant achievements as Visible Human, ClinicalTrials.gov, UMLS, MARS, Genetics Home Reference, and Profiles in Science. The timeline exhibit, prominently featured in the Lister Hill Center lobby, chronicles the parallel history of communications technologies, the evolution of interoperable communications standards and biomedical initiatives over five decades, from early satellite voice and image research and development to today’s trans-NIH Big Data to Knowledge initiative.
For 50 years, the Directors, Board of Scientific Counselors, and the diverse and talented researchers, developers, and LHNCBC staff have worked together to fulfill the 1965 vision of Senator Lister Hill, “We must develop a communications system so that the miraculous triumphs of modern science can be taken from the laboratory and transmitted to all in need.” The Center continues its work devoted to this mission in support of NLM programs and products, for “all in need.”
#humanhealth #medicalhistory #machinelearning #audiodescription #audiodescriptions
