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Prostate Calculator - Credits & collaborators

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Primary credits

The Principal Investigator for this project is E. David Crawford, MD. Dr. Crawford has led the ANNs in CaP Project as Principal Investigator since June, 1998. For more details, see biography below. A summary of primary contributers to the web site is:

Principal Investigator E. David Crawford, MD
Research Director Ed Gamito
Assistant Research Scientist Colin O'Donnell
Design & Development Michael Douma (IDEA)
Web site & Server maintenance John Martin

Collaborators

The calculators on this web site have been made possible by the contributions of patient data and scientific insight from the following collaborators:

E. David Crawford, MD
(Principal Investigator)
University of Colorado Health Sciences Center

Dr. Crawford has led the ANNs in CaP Project as principal investigator since June of 1998. He has written numerous authoritative articles and medical textbooks in the Urologic field. Dr. Crawford is Section Head of Urologic Oncology at the University of Colorado Health Sciences Center. He has served as principal investigator of several national clinical studies such as the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial and Prostate Cancer Awareness Week. Dr. Crawford has been chairman of the Prostate Cancer Education Council since 1989. It is Dr. Crawford's vision to bring together experts in prostate cancer and ANNs from across the United States and the world to improve the diagnosis and treatment of prostate cancer.

Alan W. Partin, MD, PhD.
Johns Hopkins Medical Institutions

Dr. Partin is professor of urology at the Johns Hopkins Medical Institutions in Baltimore, Maryland. In addition to authoring many articles and books on prostate cancer, Dr. Partin and his colleagues developed a set of tables widely known as the Partin Tables. These tables are based on accumulated data from hundreds of patients who had been treated for prostate cancer and are used to predict pathologic stage (the cancer stage as determined by a pathologist after surgery) from clinical (pre-surgery) variables. The accurate prediction of pathologic stage can help physicians and patients choose the most appropriate treatments. Dr. Partin continues his research in prognosis prediction for men with prostate cancer. His laboratories are focused on development of new methods of determining the aggressiveness of prostate cancer as well as evaluating existing methods. He also does research on the treatment of benign prostatic hyperplasia (BPH).

Colonel David G. McLeod, MD, JD.
Walter Reed Army Medical Center
Uniformed Services University of the Health Sciences
Georgetown University Medical Center

Dr. McLeod is Chief of Urologic Oncology at Walter Reed Army Medical Center, Washington, DC; Professor of Surgery at the Uniformed Services University of the Health Sciences, Bethesda, MD; Director of the Urology Residency Program at Walter Reed Army Medical Center; and Clinical Professor in the Department of Surgery (Urology) at Georgetown University Medical Center. He is a Colonel in the United States Army Medical Corp, and has been a member of the armed services since 1965. Dr. McLeod is the President of the American Foundation of Urologic Disease and the President-elect of the Mid-Atlantic section of the American Urologic Association. As principal investigator in numerous collaborative studies, Doctor McLeod's work has appeared in major medical journals, including Urology, the Journal of Urology, the Journal of Urologic Oncology, and Cancer. He has also co-authored multiple chapters and publications on Urology and Urologic Oncology.

John Lynch, MD
Georgetown University Hospital

Dr. Lynch is Chief of the Division of Urology and Interim Chair of Surgery at Georgetown University Hospital in Washington, DC. His research interests include nerve-sparing radical prostatectomy, urinary diversion and the treatment of benign prostatic hyperplasia (BPH). Dr. Lynch has written numerous authoritative articles on prostate cancer and contributed to a number of medical textbooks on the subject.

Christopher R. Porter, MD
State University of New York, Stony Brook

Dr. Porter is assistant professor at the State University of New York at Stony Brook. He is a specialist in Urologic Oncology with research interests in the diagnosis and outcomes prediction in prostate cancer. He also does research in the spectral analysis of ultrasound images of the prostate.

Ashutosh Tewari, MD
Weill Cornell Medical College

Dr. Tewari is the Ronald P. Lynch Professor of Urologic-Oncology and Director of the Institute of Prostate Cancer at Weill Cornell Medical College, New York, NY. He has published multiple cutting-edge articles on the use of neural networks in medicine. His interests include predictive models for prostate cancer staging, progression and survival. Dr. Tewari is on the editorial board of several leading medical journals such as Urology and the British Journal of Urology. In addition, Dr. Tewari is on the educational boards of the Medscape and Cancer Facts web sites.

Judith Dayhoff, Ph.D.
(Author and former professor)

Judith Dayhoff holds a B.A. from Duke University and a Ph.D. in Biophysics from the University of Pennsylvania (1980). She has been on the faculty of the University of Maryland's School of Engineering, and has been a Visiting Faculty Associate at the Naval Research Laboratory, the Naval Surface Warfare Center, and the Phillips Air Force Laboratory, and was Visiting Scholar at Stanford University. She was formerly Assistant Professor of Mathematics at Rutgers University, and was recipient of a Career Advancement Award from the National Science Foundation. Dr. Dayhoff is author of the book Neural Network Architectures: An Introduction (Van Nostrand Reinhold, 1990), and co-editor of the book Neural Networks and Pattern Recognition (Academic Press, 1998). Her research interests include clinical applications of artificial neural networks and multivariate analysis, and clinical applications of pattern recognition and image processing. She has performed extensive research on the modeling and analysis of networks of neurons, on new methods for pattern recognition, and on new neural network architectures, including pulse-coupled models and adaptive time-delay models. She has taught graduate courses on neural networks, applied mathematics, and systems engineering, and has lectured internationally on her research. Dr. Dayhoff was President of the International Neural Network Society (INNS) in 1997, and has been on its Governing board since 1991. She was Program Co-Chair of the International Joint Conference on Neural Networks in 1998.

Additional web site credits

Medical illustrations Spencer Phippen


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Accessed on 12 December 2017.