DR. BERNARD L KASTEN, M.D.
Medical Practice at Twilight Tear Ln, Cincinnati, OH
License number
Ohio 35.033680
Category
Medical Practice
Type
Anatomic Pathology & Clinical Pathology
Address
Address
2
8622 Twilight Tear Ln, Cincinnati, OH 45249
27Th Ct SW APT 104, Naples, FL 34116
27Th Ct SW APT 104, Naples, FL 34116
Phone
(513) 489-0277
(513) 489-9443 (Fax)
(513) 378-7209
(513) 489-9443 (Fax)
(513) 378-7209
Personal information
See more information about BERNARD L KASTEN at radaris.comName
Address
Phone
2472 NW 66Th Dr, Boca Raton, FL 33496
4380 27Th Ct SW #I-104, Naples, FL 34116
5000 Taft Pl, Cincinnati, OH 45243
Jeromesville, OH
Boca Raton, FL
Professional information
See more information about BERNARD L KASTEN at trustoria.com
Chairman Of The Board Of Directors At Cleveland Biolabs Inc
Chairman Of The Board Of Directors At Cleveland Biolabs Inc
Position:
Chairman of the Board of Directors at Cleveland BioLabs Inc
Location:
Cincinnati Area
Industry:
Pharmaceuticals
Work:
Cleveland BioLabs Inc
-
Chairman of the Board of Directors
Dr. Bernard L Kasten, Cincinnati OH - MD (Doctor of Medicine)
Dr. Bernard L Kasten, Cincinnati OH - MD (Doctor of Medicine)
Specialties:
Medical Microbiology
Address:
8622 Twilight Tear Ln, Cincinnati 45249
(513) 489-0277 (Phone), (513) 489-9443 (Fax)
(513) 489-0277 (Phone), (513) 489-9443 (Fax)
Certifications:
Anatomic & Clinical Pathology, 1976, Medical Microbiology, 1976
Awards:
Healthgrades Honor Roll
Languages:
English
Education:
Medical School
Ohio State University / College of Medicine
Graduated: 1971
Jackson Memorial Hospital
Natl Inst Hlth
Natl Cancer Inst
Ohio State University / College of Medicine
Graduated: 1971
Jackson Memorial Hospital
Natl Inst Hlth
Natl Cancer Inst
Diagnosing Inapparent Diseases From Common Clinical Tests Using Bayesian Analysis
Diagnosing Inapparent Diseases From Common Clinical Tests Using Bayesian Analysis
US Patent:
8068993, Nov 29, 2011
Filed:
Jun 17, 2008
Appl. No.:
12/140880
Inventors:
Valeri I. Karlov - Boston MA, US
Bernard Kasten - Cincinnati OH, US
Carlos E. Padilla - Lexington MA, US
Edward T. Maggio - San Diego CA, US
Frank Billingsley - Alexandria VA, US
Bernard Kasten - Cincinnati OH, US
Carlos E. Padilla - Lexington MA, US
Edward T. Maggio - San Diego CA, US
Frank Billingsley - Alexandria VA, US
Assignee:
Quest Diagnostics Investments Incorporated - Wilmington
International Classification:
G01N 33/50, G01N 27/72, G01R 29/12, G01R 29/14
US Classification:
702 19, 702 70, 702 71, 702 83
Abstract:
A system and method of diagnosing diseases from biological data is disclosed. A system for automated disease diagnostics prediction can be generated using a database of clinical test data. The diagnostics prediction can also be used to develop screening tests to screen for one or more inapparent diseases. The prediction method can be implemented with Bayesian probability estimation techniques. The system and method permit clinical test data to be analyzed and mined for improved disease diagnosis.
Diagnosing Inapparent Diseases From Common Clinical Tests Using Bayesian Analysis
Diagnosing Inapparent Diseases From Common Clinical Tests Using Bayesian Analysis
US Patent:
2003006, Apr 3, 2003
Filed:
May 1, 2002
Appl. No.:
10/138068
Inventors:
Valeri Karlov - Boston MA, US
Bernard Kasten - Cincinnati OH, US
Carlos Padilla - Lexington MA, US
Edward Maggio - San Diego CA, US
Frank Billingsley - Alexandria VA, US
Bernard Kasten - Cincinnati OH, US
Carlos Padilla - Lexington MA, US
Edward Maggio - San Diego CA, US
Frank Billingsley - Alexandria VA, US
Assignee:
Structural Bioinformatics, Inc.
International Classification:
G06F017/60
US Classification:
705/002000
Abstract:
A system and method of diagnosing diseases from biological data is disclosed. A system for automated disease diagnostics prediction can be generated using a database of clinical test data. The diagnostics prediction can also be used to develop screening tests to screen for one or more inapparent diseases. The prediction method can be implemented with Bayesian probability estimation techniques. The system and method permit clinical test data to be analyzed and mined for improved disease diagnosis.