Method and apparatus for predicting therapeutic outcomes

Surgery – Diagnostic testing

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

128923, 128924, A61B 500

Patent

active

058609172

ABSTRACT:
Methods, software, and systems for evaluating the response of a patient afflicted with a disease to a therapeutic regimen for the disease are described. In one aspect, the present methods, systems, and software are provided for evaluating the utility of a treatment regimen for treating a patient afflicted with a disease. In one embodiment of this aspect, the value of at least one diagnostic variable relating to a statistical model describing the utility of the treatment regimen is determined. The statistical model is derived using a robustified similarity metric least squares (SMILES) analysis of the response to the treatment regimen which has been adapted to include discriminant and logistical analysis. The value of the diagnostic variable is then applied to the model to provide an estimated utility of the treatment regimen in treating the patient. Using the methods, software, and apparatus described herein, robust, statistically significant models of patient responsiveness that reduce the problems associated with present treatment response prediction methods that are brittle and oversimplify the complex interactions among treatment variables can assist patients and clinicians in determining therapies.

REFERENCES:
patent: 4570225 (1986-02-01), Lundy
patent: 4731725 (1988-03-01), Suto et al.
patent: 4733354 (1988-03-01), Potter et al.
patent: 4839822 (1989-06-01), Dormond et al.
patent: 5463548 (1995-10-01), Asada et al.
patent: 5517405 (1996-05-01), McAndrew et al.
patent: 5619990 (1997-04-01), Kanai
patent: 5642731 (1997-07-01), Kehr
patent: 5642936 (1997-07-01), Evans
patent: 5687716 (1997-11-01), Kaufmann et al.
Chui, et al., Use of neural networks to analyze drug combination interactions, 1993, American Statistical Association, 1993 Proceedings of the Biopharmaceutical Section.
Minor, James. M., Neural networks for drug interaction analysis, 1993, American Statistical Association, 1993, Proceedings of the Biopharmaceutical Section.
Namini, et al, Application of neural networks to analyze clinical trail data, 1993, American Statistical Association, 1993 Proceedings of the Biopharmaceutical Section.
Watson, et al., Analysis of the stability properties of a drug formulation through the use of neural networks., 1993, American Statistical Association, 1993 Proceedings of the Biopharmaceutical Section.
Minor et al. From here to there (Dosing to Efficacy) with neural nets., 1994, American Statistical Association, 1994 Proceedings of the Biopharmaceutical Section.
Minor, J.M., Data Analysis with Ffanns, 1989, Proceedings of the ISA/89 International Conference and Exhibit Philadelphia, Pennsylvania, Advances in Instrumentation and Control, vol. 44, Part 3., pp. 1155-1168.
Minor, J.M., SMILES and FFANNS: Similarity Least Squares and Feed Forward Artificial Neural Networks, 1989, IJCNN International Joint Conference of Neural Networks, Washington, D.C.
Minor, J.M., Introduction Neural Networks, Oct. 14-18, 1990, published in Advances in Instrumentation and Control, vol. 45, Proceedings of ISA90 International Conference and Exhibit.
Minor, et al., Smiles, Parity, and Feature Recognition, 1990, IJCNN-90-WASH D.C. vol. II Applications Track. Jan. 15-19, 1990.
Miller, et al., A Two-Dimensional Model of Stratospheric Chemistry and Transport, Dec. 20, 1981, Journal of Geophysical Research, vol. 86, No. C12, pp. 12039-12065.
Minor, J.M., Applied Neural Nets Industrial Strength Solutions, (Sep. 30-Oct. 2, 1991). Proceedings of the 17th Annual Advanced Control Conference.
Minor et al., Neural Net Methods for Mapping Thermodynamic and Physical Properties in Environment Problems, paper in 1996 AIChE Spring National Meeting, New Orleans, LA. Feb. 25-29, 1996.
Knodell, et al., Formulation and Application of a Numerical Scoring System for Assessing Histological Activity in Asymptomatic Chronic Active Hepatitis, 1981, Hepatology, vol. 1. No. 3. p. 431.
Minor et al., Generalized Ridge Analysis with Application to Population Pharmacokinetics/Dynamics, 1996. Journal of Biopharmaceutical Statistics, 6(1), 105-114.
Minor, et al., Analysis of clinical data using neural nets., 1996. Journal of Biopharmaceutical Statistics, 6(1), 83-104.
Minor, J.M., Watson, G.A., Competitive Advantage via Advanced Technology: Neural Networks and Quality Control, Apr. 1995, Proceedings QC 95.
Minor, et al. Use of Neural Networks to Analyze Drug Combination Interactions, Proceedings ComCon4, Rodos Palace Hotel, Rhodes, Greece 14-18 Jun. 1993.
Bisceglie, et al., A Randomized, Controlled Trial Of Recombinant .alpha.-Interferon Therapy for Chronic Hepatitis B, 1993, The American Journal of Gastoenterology, vol. 88. No. 11, pp. 1887-1892.
James E. Minor, Data Analysis with Neural Nets And Strategy of Research, May, 1990, Accession No. 17526, E.I. du Pont de Nemours and Company.
James E. Minor, Practical Neural Nets, Feb. 1990, Accession No. 17503. E.I. du Pont de Nemours and Company.
Lau et al., Mini Poster entitled "Statistical Models for Predicting a Beneficial Response to ALPHA Interference In Patients with Chronic Hepatitis B", Presented at American Association for the Study of Liver Disease (AASLD), Nov. 1996.
Lau et al., Abstract entitled "Statistical Models for Predicting a Beneficial Response to ALPHA Interference In Patients with Chronic Hepatitis B", AASLD Abstracts, Oct. 1996.
Summers et al., "Casual Probabilistic Modelling for Clinical Decision Support in the High Dependency Environment" Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Oct. 29, 1992.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method and apparatus for predicting therapeutic outcomes does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and apparatus for predicting therapeutic outcomes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and apparatus for predicting therapeutic outcomes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-1243311

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.