The Department of Computational Medicine and especially the Biomathematics Ph.D. program wants to congratulate Rachel Mester and Apeksha Singh for finishing their Ph.D.
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By Kevin McClanahan
Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing cost and morbidity. The findings, led by researchers at UCLA Health, are described in Science Translational Medicine.
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This fall, the Department of Computational Medicine at UCLA welcomes nine new students to its Biomathematics Ph.D. program. The incoming students have a diverse backgrounds in mathematics and biology, and they aspire to integrate different disciplines in their research.
Vivek Agarwal
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![The Frontiers in Computational Medicine Seminar](/sites/default/files/2024-09/TheFrontiersCMS.jpg)
![Data Science in Biomedicine MS](/sites/default/files/2023-08/Front_blank_logo.jpg)
The Data Science in Biomedicine MS provides training in Data Science, Machine Learning, Statistics, Data Mining, Algorithms, and Analytics with applications to Genomics, Electronic Health Records, and Medical Images.