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The National Library of Medicine (NLM) seeks a Scientific Director with creative vision and strong leadership to guide its Intramural Research Program.
Congratulations to LHC’s own Travis Goodwin who was elected to the JAMIA Student Editorial Board (SEB). The SEB are assigned several manuscripts per year to review and members learn about the operation of a scientific medical journal as they assist with managing the monthly online JAMIA Journal Club.
The Lister Hill National Center for Biomedical Communications (LHNCBC) celebrated its 50th anniversary in FY2018.
Siva Rajaraman, LHC’s postdoctoral fellow is placed in the top 1% of reviewers on Publons’ global reviewer database, determined by the number of peer review reports performed during the 2017-18 award year. He performed 31 reviews for 14 different international journals including IEEE, Elsevier, and Springer.
Drs. Stefan Jaeger and Sivarama Rajaraman, Lister Hill Center researchers, presented posters at the 2018 NIH Research Festival. Dr. Jaeger and Dr. Mahdieh Poostchi received a FARE (Fellows Award for Research Excellence) award which provides recognition for the outstanding scientific research performed by intramural fellows who have less than five years of research experience at the NIH. The research here involved deep learning applied to pediatric chest x-rays and malaria parasite detection and quantification.
Saturday, November 3 - Tuesday, November 6, 2018
San Francisco, CA
Eleven summer Interns presented posters at the 2018 NIH Summer Poster Day August 9, 2018 at the NIH Natcher Building. The summer interns ranged from high school juniors to PhD candidates and the focus areas of the research were image analysis, natural language processing and machine learning (deep learning). Presenters and poster titles are as follows:
Within days of publication, a paper by Dr. Sivaramakrishnan Rajaraman and colleagues published in the premier journal PeerJ was downloaded 100 times. Entitled “'Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images,” this is the first study to evaluate the performance of Deep Learning models in classifying parasitic and uninfected red blood cells for improved malaria screening – at both cell and patient level, and using a large scale clinical dataset.
Today Genetics Home Reference launched our new guide to direct-to-consumer genetic testing. These popular tests are provided by 23andMe, Ancestry.com, and many other companies.