Author

M. Fleisher

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:clinical cohort / trial· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Apte· 1 shared A. Jagota· 1 shared A. Rimner· 1 shared A. Settle· 1 shared A. Wu· 1 shared D. A. Heller· 1 shared D. A. Levine· 1 shared D. von Reibnitz· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperCancer Biology

A. Apte

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2 papers

Recent·Most cited

Machine-Perception Nanosensor Platform to Detect Cancer Biomarkers

Z. Yaari, Y. Yang, E. Apfelbaum, A. Settle, Q. Cullen, W. Cai, K. Long Roche, D. A. Levine, M. Fleisher, L. Ramanathan, M. Zheng, A. Jagota, D. A. Heller

This paper develops a machine-perception nanosensor platform using optical arrays and machine learning to detect cancer biomarkers in biofluids, achieving high F1-scores in uterine lavage samples.

bioRxiv · Apr 28, 2021 · PreprintBioengineering

Serum Alpha-2-Macroglobulin as an intrinsic radioprotective factor in patients undergoing thoracic radiation therapy

D. von Reibnitz, E. Yorke, J. H. Oh, A. Apte, J. Yang, H. Pham, M. Thor, A. Wu, M. Fleisher, E. Gelb, J. Deasy, A. Rimner

This study investigates the association between baseline alpha-2-macroglobulin levels and radiation-induced toxicities in thoracic radiotherapy patients, finding a link with esophagitis and developing predictive models for toxicity.

bioRxiv · May 31, 2019 · PreprintCancer Biology