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New biomarker could one day help tailor immunotherapy for Merkel cell carcinoma
Helps explain why only certain MCC patients respond to immune checkpoint inhibitors, could point toward new strategies to improve treatment responses
Maxspin: a sensitive, quantitative method for identifying spatially varying genes
From the Newell Lab, Virology and Infectious Disease Division
Learn with DLAG: A deep dive into deep learning
From the Deep Learning Affinity Group (DLAG)
Highlights of Fred Hutch science in 2021
From COVID-19 to cancer, Hutch scientists pursued new ideas to save lives
New open source software empowers scientists to uncover immune secrets
'Infinity Flow’ adds machine learning to widespread, but limited, technology for analyzing single cells
Targeted single-cell RNA sequencing maximizes cellular information at a lower cost
From the Gottardo, Newell, and Prlic labs, Vaccine and Infectious Disease Division
A cheaper way to study the immune system, one cell at a time
Scientists describe a more efficient way to sequence individual cells and visualize the massive amount of data that ensues
T cells as biomarkers for hepatitis B disease prognosis
From the Newell lab, Vaccine and Infectious Disease Division
Washington’s Andy Hill Cancer Research Endowment awards $1.5M to 3 Fred Hutch researchers
Scientists will use funds to expand research in graft-vs.-host disease, chemoprevention and cancer immunology