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The importance of creating a standard data science pipeline for evaluating machine learning models is highlighted for one frequent image processing task: nucleus instance segmentation in high-content imaging. The vignette elaborates on every step in the data science workflow and shares concrete results for evaluating three approaches to perform…
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The National Cancer Institute Division of Cancer Treatment and Diagnosis appointed the Frederick National Laboratory to build the Integrated Canine Data Commons. The data commons provides a publicly available cloud-based repository of data on spontaneously arising canine cancer to advance research on human cancers by enabling comparative analysis…
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Artificial intelligence has helped researchers uncover potential avenues for better treatment of endometrial cancer, the most common gynecologic malignancy in the developed world and one with a worsening mortality rate, particularly among Blacks and Hispanics.
With the aid of deep learning, a type of AI, a large multi-institutional…
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Three students from Butler University and Hood College participated in a 10-week virtual training at the Frederick National Laboratory for Cancer Research, learning more about tools developed by the Accelerated Therapeutics for Opportunities in Medicine (ATOM).
FNL co-founded the ATOM consortium in 2017 as a public–private collaboration with…
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The Center for Technical Operations Support Group within the Bioinformatics and Computational Science Directorate developed and released the CCDI Childhood Data Catalog and the Molecular Targets Platform as part of a collaboration with the NCI to develop a Childhood Cancer Data Ecosystem.
The National Cancer Institute Center for Biomedical…
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Artificial intelligence has rapidly become a buzzword that evokes fear and hope. A recent panel discussion dug into this issue at the 2023 BIO International Convention, one of the world’s largest biotech partnering events, attracting more than 14,000 biotech leaders to Boston this year.
The discussion, “Is Your Billion-Dollar Oncology AI…
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When Chloe Thangavelu, a Ph.D. student at the University of California, Irvine, received funding from the National Science Foundation for a six-month internship, she eagerly set out to find an internship where she could combine her biological and computational expertise and gain experience with machine learning.
That’s why she reached out to…
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A research collaboration has made early progress toward a potential vaccine for type 1 diabetes, a long-sought goal for an autoimmune disease that affects more than 1.5 million Americans.
The team, including Frederick National Laboratory computational scientist David Bell, previously discovered a new protein antibody in type 1 diabetes…
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Dogs and humans have been companions throughout recorded history. Our four-legged friends appear in early written tales, such as the Mesopotamian poem The Epic of Gilgamesh, and are mentioned by name in ancient Egyptian inscriptions. In prehistoric gravesites worldwide, dogs are found laid to rest alongside humans. They’ve been with us through…
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By training computer models to assess pathology images of rhabdomyosarcoma tumors, researchers hope to help doctors better tailor treatments to patients.
Researchers at the Frederick National Laboratory for Cancer Research and the National Cancer Institute developed an artificial intelligence-based system that can anticipate the severity of…
