02/14/2019: Saeed presented the ongoing imaging informatics research at DHMC Radiology Grand Rounds.
02/12/2019: Our lab’s research on breast cancer risk assessment was highlighted in the news.
2/11/2019: Our NIH R01 proposal on developing new deep learning methodologies for histology image analysis was funded by the National Library of Medicine (NLM).
02/06/2019: Our recent work on the use of deep learning for pathologist-level classification of lung cancer histologic patterns is accepted in Scientific Reports.
01/30/2019: Our lab's work on the use of deep learning for the automated detection of celiac disease in biopsies is accepted in the Journal of Pathology Informatics.
01/29/2019: DeepSlide, our deep learning library for classification/visualization of high-resolution pathology images is open-source and available on GitHub.
01/10/2019: Xing passed her Research Presentation Exam (RPE) for her PhD in Computer Science. Congratulations Xing!
12/18/2018: Our findings that showed machine learning can potentially save women with Atypical Ductal Hyperplasia from unnecessary surgeries and over-treatment are published in JCO Clinical Cancer Informatics.
12/10/2018: Our study on the use of community-generated data for detecting depression among social media users is published in the Journal of Medical Internet Research.
12/08/2018: The lab work was highlighted in an article on the use of AI for mental health in New Hampshire Union Leader.
12/06/2018: Saeed presented recent work on the application of machine learning in colorectal screening at the IEEE International Conference on Bioinformatics and Biomedicine in Madrid.