Anant Madabhushi

Anant Madabhushi (born February 15, 1976) is the F. Alex Nason professor II of biomedical engineering at Case Western Reserve University in Cleveland and director of the university's Center for Computational Imaging and Personalized Diagnostics (CCIPD).[1] He is also a Research Scientist at the Louis Stokes Cleveland Veterans Administration (VA) Medical Center and has affiliate appointments both at University Hospitals and Cleveland Clinic.[2]

Madabhushi has more than 100 patents either issued or pending in the areas of medical image analysis, computer-aided diagnosis, and computer vision.[3] He was an inventor on roughly 10 percent of all patents awarded at Case Western Reserve University in 2017 and 2018. In 2017, he was awarded patents for “Histogram of hosoya index (HoH) features for quantitative histomorphometry)”[4] and “Textural analysis of lung nodules.”[5]

The author of over 350 peer-reviewed journal articles and conference papers, Madabhushi is a sought after lecturer who has delivered nearly 300 talks around the world. His efforts as a professor and researcher have gained international attention in the field of biomedical engineering, garnering him several awards. Most notably, Madabhushi is a Wallace H. Coulter Fellow, a fellow of the American Institute of Medical and Biomedical Engineering (AIMBE), and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). In 2015, he made Crain’s Cleveland Business magazine’s “Forty Under 40” list.[6] He also was the recipient of an Early Career Lung Cancer Grant from the Department of Defense in 2014 and an Early Career Award from the Society of Imaging Informatics in Medicine (SIIM) in 2009.[7]

Education

Madabhushi received a bachelor's degree in biomedical engineering from Mumbai University, India in 1998 and a master's degree in biomedical engineering from the University of Texas, Austin in 2000. In 2004, he received his PhD in bioengineering from the University of Pennsylvania.[8]

Career

Madabhushi joined the Department of Biomedical Engineering at Rutgers University as an assistant professor in 2005. He became an associate professor with tenure in 2010. In 2012, he left Rutgers and joined Case Western Reserve University’s Department of Biomedical Engineering as an associate professor. He became a full professor in 2014 and moved to the position of F. Alex Nason professor II endowed chair of biomedical engineering in 2016. Madabhushi also serves as the director of the university’s Center for Computational Imaging and Personalized Diagnostics (CCIPD).[9]

Madabhushi has secured more than $50 million in grant funding and co-founded two companies, Vascuvis Inc. (now Elucid Bioimaging) and IbRiS Inc., a start up company focused on developing image-based assays for breast cancer prognosis. IbRiS was acquired by Inspirata[10] in 2015. Madabhushi has been involved in sponsored research and industry partnerships with Siemens, Philips and GE, as well as multiple industry collaborations with pharmaceutical companies. In addition, more than 15 technologies developed by Madabhushi’s team have been licensed.[1] Madabhushi was also the conference chair for the Digital Pathology Conference held in conjunction with the SPIE Medical Imaging Symposium between 2013-2016.[11]

Publications and Conferences

Madabhushi has written over 160 peer-reviewed journal publications, appearing in journals such as Nature Reviews Clinical Oncology, Nature Reviews Drug Discovery, Radiology, Scientific Reports, American Journal of Surgical Pathology, the Annual Review of Biomedical Engineering, Medical Image Analysis, IEEE Transactions on Medical Imaging and PLOS One. He has authored over 180 papers for conferences including SPIE Medical Imaging, the Medical Image Computing and Computer Assisted Intervention (MICCAI) Conference and the International Symposium on Biomedical Imaging (ISBI).[12]

Madabhushi has delivered nearly 300 invited talks and lectures in the United States and abroad. In 2019 he delivered the Annual Pritzker Lecture at Mount Sinai Hospital in Toronto and will be delivering the keynote lecture at the ASCO Breakthrough Summit[13] in Bangkok in October 2019. He has served as an associate Editor for IEEE Transactions on Biomedical Engineering, IEEE Transactions on Biomedical Engineering Letters, BMC Cancer, BMC Medical Imaging, the Journal of Medical Imaging and Medical Image Analysis (MedIA).

Awards and memberships

Madabhushi has nearly 100 patents either issued or pending in the areas of medical image analysis, computer-aided diagnosis and computer vision. In March 2017, he was issued a patent for “Textural analysis of lung nodules”[14] covering methods and apparatus for classifying a region of tissue using textural analysis so a patient prognosis can be made based on the classification of the image. In January 2017, he was issued a patent for “Histogram of hosoya index (HoH) features for quantitative histomorphometry),”[15] an invention that captures cancer architecture in digital pathology images and can help differentiate between more and less aggressive early stage, estrogen receptor positive breast cancers. In 2019 Patent US 10,398,399 entitled "Decision support for disease characterization and treatment response with disease and peri-disease radiomics" was issued to the Center for Computational Imaging and Personalized Diagnostics.[16]

Madabhushi has received the Department of Defense New Investigator Award in Lung Cancer (2014); The Excellence in Teaching Award (2007-2009) from Rutgers University; and the Coulter Phase 1 and Phase 2 Early Career award (2006, 2008).[17]

In 2015, Madabhushi was named one of the “Forty under 40” people making a positive impact on business in northeast Ohio by Crain’s Cleveland Business magazine. He is a Wallace H. Coulter Fellow, a Fellow of the American Institute of Medical and Biological Engineering (AIMBE) and an IEEE Fellow. In September 2019, Madabhushi was named to The Pathologist's Power List 2019, a list of 100 most inspiring professionals in pathology and laboratory medicine.[18]

Research

With Madabhushi as director, the team at Case Western Reserve University’s Center for Computational Imaging and Personalized Diagnostics (CCIPD) is developing image analysis, statistical pattern recognition, machine learning and artificial intelligence tools to computationally interrogate biomedical image data, including MRI, CAT scans and digital pathology tissue images. The tools can be used to predict disease progression and provide a score to clinicians on the aggressiveness of a patient’s disease, such as breast cancer and prostate cancer, which can in turn help physicians decide on appropriate treatment options.[19]

The impetus for the CCIPD’s systems-based approach to disease understanding is to diverge from a traditional approach of focusing on a limited number of molecular components to a broader understanding of how numerous interrelated health variables – proteomics, metabolites, genomics – result in the emergence of definable phenotypes. Work done under Madabhushi’s guidance has yielded results, including the discovery of computationally-derived image biomarkers that pave the way for disease prognosis and therapeutic response, thereby allowing physicians to predict which treatment and management strategies might be most appropriate.[20] In addition, research on image biomarkers is being applied by the CCIPD group to the field of “radiogenomics”[21] or predicting the mutational status or molecular subtype[22] of a tumor based solely off computational features derived from a routine imaging scan. Dr. Madabhushi’s team also has pioneered the Ibris (image based risk score),[23] which computes the probability of disease aggressiveness using features mined from medical images for a variety of cancers.[24][25][26][27]

Madabhushi’s research has received grant funding from the National Cancer Institute (NIH), National Science Foundation, the Department of Defense, private foundations and industry.

gollark: Perhaps I'll have to offload all my programming to GTech™ bee neuron intelligences.
gollark: > First steps of a proper documentation will land before the end of the year: stay tuned musical_noteWow, how useful.
gollark: https://github.com/ducdetronquito/h11 somewhat.
gollark: https://github.com/Vexu/routez is what I found after 22μs of duckduckgo.
gollark: Probably? I haven't checked.

References
  1. http://engineering.case.edu/centers/ccipd/
  2. "Cleveland FES Center | Madabhushi, Anant, PhD". Retrieved 2019-09-12.
  3. "Anant Madabhushi Inventions, Patents and Patent Applications - Justia Patents Search". patents.justia.com. Retrieved 2017-05-19.
  4. , Madabhushi, Anant; Ajay Basavanhally & Sahirzeeshan Ali, "United States Patent: 9558394 - Histogram of hosoya index (HoH) features for quantitative histomorphometry"
  5. , Madabhushi, Anant; Mirabela Rusu & Mahdi Orooji, "United States Patent: 9595103 - Textural analysis of lung nodules"
  6. "Anant Madabhushi, 39". Crain's Cleveland Business. 2015-11-21. Retrieved 2017-05-19.
  7. "Funding Rolls in for Computational Imaging Research | Department of Biomedical Engineering". engineering.case.edu. Retrieved 2018-09-13.
  8. "Faculty - Case Center for Imaging Research - Case Western Reserve University". case.edu. Archived from the original on 2017-05-20. Retrieved 2017-05-19.
  9. Madabhushi, Anant (May 19, 2017). "Anant Madabhushi". LinkedIn. Retrieved May 19, 2017.
  10. "Home". Inspirata. Retrieved 2019-09-12.
  11. "Anant Madabhushi". Case Center for Imaging Research | School of Medicine | Case Western Reserve University. 2019-08-02. Retrieved 2019-10-16.
  12. pubmeddev. "anant madabhushi - PubMed - NCBI". www.ncbi.nlm.nih.gov. Retrieved 2018-10-11.
  13. "ASCO Meetings". meetings.asco.org. Retrieved 2019-10-16.
  14. , Madabhushi, Anant; Mirabela Rusu & Mahdi Orooji, "Textural Analysis of Lung Nodules"
  15. , Madabhushi, Anant; Ajay Basavanhally & Sahirzeeshan Ali, "Histogram of Hosoya Index (HoH) Features For Quantitative Histomorphometry"
  16. "Patent issued to CCIPD | Department of Biomedical Engineering". engineering.case.edu. Retrieved 2019-09-12.
  17. "8th International Workshop on Machine Learning in Medical Imaging". September 13, 2018. Retrieved September 13, 2018.
  18. "Trailblazers of the Lab". The Pathologst.
  19. "Center for Computational Imaging and Personalized Diagnostics". engineering.case.edu. Retrieved 2017-05-19.
  20. Madabhushi, Anant; Agner, Shannon; Basavanhally, Ajay; Doyle, Scott; Lee, George (2011-10-01). "Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data". Computerized Medical Imaging and Graphics. 35 (7–8): 506–514. doi:10.1016/j.compmedimag.2011.01.008. ISSN 1879-0771. PMID 21333490.
  21. Wan, Tao; Bloch, B. Nicolas; Plecha, Donna; Thompson, CheryI L.; Gilmore, Hannah; Jaffe, Carl; Harris, Lyndsay; Madabhushi, Anant (2016-02-18). "A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores". Scientific Reports. 6: 21394. doi:10.1038/srep21394. ISSN 2045-2322. PMC 4757835. PMID 26887643.
  22. Agner, Shannon C.; Rosen, Mark A.; Englander, Sarah; Tomaszewski, John E.; Feldman, Michael D.; Zhang, Paul; Mies, Carolyn; Schnall, Mitchell D.; Madabhushi, Anant (2017-05-19). "Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study". Radiology. 272 (1): 91–99. doi:10.1148/radiol.14121031. ISSN 0033-8419. PMC 4263619. PMID 24620909.
  23. Ganesan, S.; Madabhushi, A.; Basavanhally, A.; Xu, J.; Bhanot, G.; Barnard, N.; Toppmeyer, D. (2009-12-15). "Computerized Histologic Image-Based Risk Score (IbRiS) Classifier for ER+ Breast Cancer". Cancer Research. 69 (24 Supplement): 3046. doi:10.1158/0008-5472.SABCS-09-3046. ISSN 0008-5472.
  24. Lewis, James S.; Ali, Sahirzeeshan; Luo, Jingqin; Thorstad, Wade L.; Madabhushi, Anant (2017-05-19). "A Quantitative Histomorphometric Classifier (QuHbIC) Identifies Aggressive Versus Indolent p16-Positive Oropharyngeal Squamous Cell Carcinoma". The American Journal of Surgical Pathology. 38 (1): 128–137. doi:10.1097/PAS.0000000000000086. ISSN 0147-5185. PMC 3865861. PMID 24145650.
  25. Lee, George; Sparks, Rachel; Ali, Sahirzeeshan; Shih, Natalie N. C.; Feldman, Michael D.; Spangler, Elaine; Rebbeck, Timothy; Tomaszewski, John E.; Madabhushi, Anant (2014-05-29). "Co-Occurring Gland Angularity in Localized Subgraphs: Predicting Biochemical Recurrence in Intermediate-Risk Prostate Cancer Patients". PLOS ONE. 9 (5): e97954. doi:10.1371/journal.pone.0097954. ISSN 1932-6203. PMC 4038543. PMID 24875018.
  26. Basavanhally, Ajay; Ganesan, Shridar; Feldman, Michael; Shih, Natalie; Mies, Carolyn; Tomaszewski, John; Madabhushi, Anant (2013-08-01). "Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides". IEEE Transactions on Bio-Medical Engineering. 60 (8): 2089–2099. doi:10.1109/TBME.2013.2245129. ISSN 1558-2531. PMC 5778451. PMID 23392336.
  27. Basavanhally, Ajay; Feldman, Michael; Shih, Natalie; Mies, Carolyn; Tomaszewski, John; Ganesan, Shridar; Madabhushi, Anant (2012-01-19). "Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX". Journal of Pathology Informatics. 2 (2): S1. doi:10.4103/2153-3539.92027. ISSN 2153-3539. PMC 3312707. PMID 22811953.
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