New BMI faculty publishes in Cancer Cell
A new study entitled "Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma" was published in the August issue of Cancer Cell from The Cancer Genome Atlas network. The work investigated the molecular landscape of pancreatic adenocarcinoma. BMI faculty Dr. Richard Moffitt served as the analysis coordinator for the project, which involved the work of over 200 scientists.
BMI and CS team up for K-12 Summer Experience
What did you do this summer? For three Stony Brook faculty members this question is easy to answer. They were the leaders of a four week computer science and informatics summer program for high school students. Read more here.
Clinical Informatics Bootcamp (Part II)
Sponsored by the Institute for Healthcare Improvement, Stony Brook Chapter, Biomedical Informatics Department, and Stony Brook University, we are holding our Clinical Informatics again!
*** Registration is now closed ****
Qualitative Imaging Pathology (QuIP) - Lymphocyte detection using Deep Learning
[video:https://youtu.be/UMDg9s7m080 width:640 align:left autoplay:0]
First BMI PhD conferred by Stony Brook!
Dr. Joel Saltz received the 2017 Marco Ramoni Distinguished Paper Award for Translational Bioinformatics at the AMIA Joint Summits Meeting
Dr. Joel Saltz received the 2017 Marco Ramoni Distinguished Paper Award for Translational Bioinformatics at the AMIA Joint Summits Meeting for his paper “Towards Generation,Management, and Exploration of Combined Radiomics and Pathomics Datasets forCancer Research J. Saltz, J. Almeida, Y. Gao, Stony Brook University; A.Sharma, Emory University; E. Bremer, T. DiPrima, T. Kurc, M. Saltz, Stony Brook University; J. Kalpathy–Cramer, Massachusetts General Hospital.
“This award is given to the first author of the paper at the meeting that best exemplifies the application of informatics methods to the elucidation of basic molecular biology processes that are relevant to the conquest of human disease. The paper describes a novel interactive tool for data visualization of Genomic, Pathomic and Radiomic data integrated to patient outcomes and demographics. To learn more about this innovative tool listen to Dr. Mary Saltz’s video about FeatureExplorer. To interactively explore this tool please click here
Qualitative Imaging Pathology (QuIP) - FeatureExplorer / FeatureScape / caMicroscope
[video:https://www.youtube.com/watch?v=tqQE5EI9Frc width:640 align:left autoplay:0]