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informatics. This, to serve the biological goal of mapping out the breast cancer tumor microenvironment, understanding the regulatory signaling network, and identifying early stage progression markers and
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technologies for medical diagnostics, treatment, and monitoring. Our research activities span computational modeling, algorithm development (using both traditional signal processing and machine learning
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mechanistic experiments. Our goal is to understand how sex and estrogen signaling impact different cancers and and their treatments so that we can suggest tailored cancer treatments, biomarkers, and preventive
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on understanding key molecular mechanisms in cancer, combining large-scale omics with focused mechanistic experiments. Our goal is to understand how sex and estrogen signaling impact different cancers and and their
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how NK cells can be utilized to treat cancer (Sanz Ortega et al. Leukemia, 2024, Segerberg et al. HemaSphere 2023, Björklund, Carlsten, Sohlberg et al. Clin. Can. Research 2018, Childs et al. Nature
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. PhD position in the molecular and cellular communication between cancer and the nervous system
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addressed in this PhD project: Can we identify biomarkers that predict an effective antibody response in children undergoing cancer treatment, and that can indicate when children should be re-vaccinated after