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Faisal M Khan, PhD
Faisal M Khan, PhD
Corporate Vice President, AI and Analytics at Novo Nordisk
Verified email at novonordisk.com
Title
Cited by
Cited by
Year
Support vector regression for censored data (SVRc): a novel tool for survival analysis
FM Khan, VB Zubek
2008 Eighth IEEE International Conference on Data Mining, 863-868, 2008
1872008
The role of machine learning in clinical research: transforming the future of evidence generation
EH Weissler, T Naumann, T Andersson, R Ranganath, O Elemento, Y Luo, ...
Trials 22, 1-15, 2021
1862021
System for evaluating a pathological stage of prostate cancer
M Donovan, F Khan, J Alter, G Fernandez, R Mesa-Tejada, D Powell, ...
US Patent 9,779,213, 2017
183*2017
System for evaluating a pathological stage of prostate cancer
M Donovan, F Khan, J Alter, G Fernandez, R Mesa-Tejada, D Powell, ...
US Patent 9,779,213, 2017
1392017
Improved prediction of prostate cancer recurrence through systems pathology
C Cordon-Cardo, A Kotsianti, DA Verbel, M Teverovskiy, P Capodieci, ...
Journal of Clinical Investigation 117 (7), 1876, 2007
1292007
Systems pathology approach for the prediction of prostate cancer progression after radical prostatectomy
MJ Donovan, S Hamann, M Clayton, FM Khan, M Sapir, V Bayer-Zubek, ...
Journal of Clinical Oncology 26 (24), 3923-3929, 2008
1152008
Androgen receptor expression is associated with prostate cancer‐specific survival in castrate patients with metastatic disease
MJ Donovan, I Osman, FM Khan, Y Vengrenyuk, P Capodieci, ...
BJU international 105 (4), 462-467, 2010
992010
Inhibition of the Nuclear Export Receptor XPO1 as a Therapeutic Target for Platinum-Resistant Ovarian Cancer
Y Chen, SC Camacho, TR Silvers, ARA Razak, NY Gabrail, JF Gerecitano, ...
Clinical Cancer Research 23 (6), 1552-1563, 2017
812017
Hardware-based support vector machine classification in logarithmic number systems
FM Khan, MG Arnold, WM Pottenger
2005 IEEE International Symposium on Circuits and Systems, 5154-5157, 2005
752005
Hardware-based support vector machine classification in logarithmic number systems
FM Khan, MG Arnold, WM Pottenger
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on …, 2005
752005
Prostate biopsies from black men express higher levels of aggressive disease biomarkers than prostate biopsies from white men
HS Kim, DM Moreira, J Jayachandran, L Gerber, LL Baņez, RT Vollmer, ...
Prostate Cancer and Prostatic Diseases 14 (3), 262-265, 2011
732011
Mining chat-room conversations for social and semantic interactions
FM Khan, TA Fisher, L Shuler, T Wu, WM Pottenger
Computer Science and Engineering, Lehigh University, 12, 2002
722002
Personalized prediction of tumor response and cancer progression on prostate needle biopsy
MJ Donovan, FM Khan, G Fernandez, R Mesa-Tejada, M Sapir, VB Zubek, ...
The Journal of urology 182 (1), 125-132, 2009
642009
Posting act tagging using transformation-based learning
T Wu, F M Khan, T A Fisher, L A Shuler, W M Pottenger
Foundations of data mining and knowledge discovery, 319-331, 2005
612005
Systems and methods for segmentation and processing of tissue images and feature extraction from same for treating, diagnosing, or predicting medical conditions
P Ajemba, R Scott, J Ramachandran, J Zeineh, M Donovan, G Fernandez, ...
US Patent 9,286,505, 2016
592016
Systems and methods for segmentation and processing of tissue images and feature extraction from same for treating, diagnosing, or predicting medical conditions
P Ajemba, R Scott, J Ramachandran, J Zeineh, M Donovan, G Fernandez, ...
US Patent 9,286,505, 2016
592016
Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition
M Donovan, F Khan, G Fernandez, A Tabesh, R Mesa-Tejada, ...
US Patent App. 12/462,041, 2009
592009
Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition
M Donovan, F Khan, G Fernandez, A Tabesh, R Mesa-Tejada, ...
US Patent App. 12/462,041, 2009
592009
Methods and systems for feature selection in machine learning based on feature contribution and model fitness
M Sapir, FM Khan, DA Verbel, O Saidi
US Patent 7,599,893, 2009
472009
Methods and systems for feature selection in machine learning based on feature contribution and model fitness
M Sapir, FM Khan, DA Verbel, O Saidi
US Patent 7,599,893, 2009
472009
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