New workflow developed by Brown University researchers compresses hours of manual lab labor into a single automated process, unlocking reliable genetic sequencing for local public health labs.
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Anubhav Tripathi
C. V. Starr Professor of Engineering
Engineering Research Center 331
Research Interests
understanding complex biomaterials using microfluidics, proteomics, high throughput screening, rheology of complex fluids and lab on a chip applications
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University awards presented to Rose, Tripathi for student advising, mentoring
The work by a research team made up largely of Brown graduate and undergraduate students addresses a critical biomedical need and has the potential to be widely adapted by clinicians to monitor antidepressants in patients.
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The new process, which is more effective and efficient than conventional methods, has the potential to significantly impact cancer diagnostics as well as other fields of research.
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