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Connection

Paul Bunn to Algorithms

This is a "connection" page, showing publications Paul Bunn has written about Algorithms.

 
Connection Strength
 
 
 
0.070
 
  1. Dacic S, Shenker D, Redman M, Brunner L, Saqi A, Cooper WA, Borczuk A, Chung JH, Glass C, Lopez JM, Roden AC, Sholl L, Weissferdt A, Brosnan-Cashman J, Hennek S, Grullon S, Posadas J, Fujimoto J, Connolly C, Wynes MW, Sanchez-Espiridion B, Lee JJ, Berezowska S, Chou TY, Kerr K, Nicholson AG, Schalper KA, Tsao MS, Ready N, Cascone T, Heymach J, Sepesi B, Shu C, Rizvi N, Sonett J, Altorki N, Provencio M, Bunn PA, Kris MG, Travis W, Yu L, Wistuba I. Machine Learning Assessment of Pathologic Response in Lung Cancer Resections After Neoadjuvant Therapy-IASLC MPR Project. J Thorac Oncol. 2026 Oct; 21(10):103953.
    View in: PubMed
    Score: 0.034
  2. Pekar-Zlotin M, Hirsch FR, Soussan-Gutman L, Ilouze M, Dvir A, Boyle T, Wynes M, Miller VA, Lipson D, Palmer GA, Ali SM, Dekel S, Brenner R, Bunn PA, Peled N. Fluorescence in situ hybridization, immunohistochemistry, and next-generation sequencing for detection of EML4-ALK rearrangement in lung cancer. Oncologist. 2015 Mar; 20(3):316-22.
    View in: PubMed
    Score: 0.015
  3. Hartmann C, Bloedow DC, Dienhart DG, Kasliwal R, Johnson TK, Gonzalez R, Bunn PA. A pharmacokinetic model describing the removal of circulating radiolabeled antibody by extracorporeal immunoadsorption. J Pharmacokinet Biopharm. 1991 Aug; 19(4):385-403.
    View in: PubMed
    Score: 0.012
  4. Taguchi F, Solomon B, Gregorc V, Roder H, Gray R, Kasahara K, Nishio M, Brahmer J, Spreafico A, Ludovini V, Massion PP, Dziadziuszko R, Schiller J, Grigorieva J, Tsypin M, Hunsucker SW, Caprioli R, Duncan MW, Hirsch FR, Bunn PA, Carbone DP. Mass spectrometry to classify non-small-cell lung cancer patients for clinical outcome after treatment with epidermal growth factor receptor tyrosine kinase inhibitors: a multicohort cross-institutional study. J Natl Cancer Inst. 2007 Jun 06; 99(11):838-46.
    View in: PubMed
    Score: 0.009
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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