WO2007103531A3 - Cellular predictive models for toxicities - Google Patents

Cellular predictive models for toxicities Download PDF

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Publication number
WO2007103531A3
WO2007103531A3 PCT/US2007/005980 US2007005980W WO2007103531A3 WO 2007103531 A3 WO2007103531 A3 WO 2007103531A3 US 2007005980 W US2007005980 W US 2007005980W WO 2007103531 A3 WO2007103531 A3 WO 2007103531A3
Authority
WO
WIPO (PCT)
Prior art keywords
toxicities
predictive models
models
stimuli
subset
Prior art date
Application number
PCT/US2007/005980
Other languages
French (fr)
Other versions
WO2007103531A2 (en
Inventor
Eugeni Vaisberg
Vadim Kutsyy
Jeffrey Finer
Gregg Peter Solar
Original Assignee
Cytokinetics Inc
Eugeni Vaisberg
Vadim Kutsyy
Jeffrey Finer
Gregg Peter Solar
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from GB0605358A external-priority patent/GB2435924A/en
Application filed by Cytokinetics Inc, Eugeni Vaisberg, Vadim Kutsyy, Jeffrey Finer, Gregg Peter Solar filed Critical Cytokinetics Inc
Publication of WO2007103531A2 publication Critical patent/WO2007103531A2/en
Publication of WO2007103531A3 publication Critical patent/WO2007103531A3/en

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

Abstract

Methods for generating models for predicting biological activity of a stimulus test population of cells are provided. The models may be used to classify or predict the effect of stimuli on cells. In certain embodiments, the methods involve receiving data comprising values for dependent variables associated with stimuli; preparing a set of cell populations based on the data received; identifying a subset of the cell populations to be used in generating a model from data associated with the subset, wherein the model is provided to predict activity of a test population.
PCT/US2007/005980 2006-03-09 2007-03-07 Cellular predictive models for toxicities WO2007103531A2 (en)

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US78107906P 2006-03-09 2006-03-09
US60/781,079 2006-03-09
US78257306P 2006-03-14 2006-03-14
US60/782,573 2006-03-14
GB0605358A GB2435924A (en) 2006-03-09 2006-03-17 Cellular predictive models for steatosis
GB0605358.1 2006-03-17

Publications (2)

Publication Number Publication Date
WO2007103531A2 WO2007103531A2 (en) 2007-09-13
WO2007103531A3 true WO2007103531A3 (en) 2008-10-16

Family

ID=38475580

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2007/005980 WO2007103531A2 (en) 2006-03-09 2007-03-07 Cellular predictive models for toxicities

Country Status (1)

Country Link
WO (1) WO2007103531A2 (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5406019B2 (en) 2006-05-17 2014-02-05 セルーメン、インコーポレイテッド Method for automated tissue analysis
EP2686688B1 (en) 2011-03-17 2019-05-08 Cernostics, Inc. Systems and compositions for diagnosing barrett's esophagus and methods of using the same
WO2014200816A1 (en) 2013-06-14 2014-12-18 Biotranex, Llc Method for measuring bile salt export transport and/or formation activity
JP7201981B2 (en) * 2017-06-30 2023-01-11 学校法人 明治薬科大学 Prediction device, prediction method and prediction program
WO2019237015A1 (en) * 2018-06-08 2019-12-12 The Trustees Of Columbia University In The City Of New York Methods and systems for predicting success rates of clinical trials

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040086873A1 (en) * 2002-10-31 2004-05-06 Johnson Peter C. System and method of generating and storing correlated hyperquantified tissue structure and biomolecular expression datasets
US20050014217A1 (en) * 2003-07-18 2005-01-20 Cytokinetics, Inc. Predicting hepatotoxicity using cell based assays
US6873914B2 (en) * 2001-11-21 2005-03-29 Icoria, Inc. Methods and systems for analyzing complex biological systems

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6873914B2 (en) * 2001-11-21 2005-03-29 Icoria, Inc. Methods and systems for analyzing complex biological systems
US20040086873A1 (en) * 2002-10-31 2004-05-06 Johnson Peter C. System and method of generating and storing correlated hyperquantified tissue structure and biomolecular expression datasets
US20050014217A1 (en) * 2003-07-18 2005-01-20 Cytokinetics, Inc. Predicting hepatotoxicity using cell based assays

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
DE LONGUEVILLE ET AL.: "Use of a Low-Density Microarray for Studying Gene Expression Patterns Induced by Hepatotoxicants on Primary Cultures of Rat Hepatocytes", TOXICOLOGICAL SCIENCES, vol. 75, no. 2, 2003, pages 378 - 372, XP002489829 *
ERLER ET AL.: "A Study of Hepatocellular Carcinoma Using Morphometric and Densitometric Image Analysis", AMERICAN JOURNAL OF CLINICAL PATHOLOGY, vol. 100, 1993, pages 151 - 157 *
ERLER ET AL.: "Methods in Laboratory Investigation: Image Analysis and Diagnostic Classification of Hepatocellular Carcinoma Using Neural Networks and Multivariate Discriminant Functions", LABORATORY INVESTIGATION, vol. 71, no. 3, 1994, pages 446 - 451 *
PRESTON ET AL.: "Differentiation of Cells in Abnormal Human Liver Tissue by Computer Image Processing: A Preliminary Investigation into Its Potential Application to Diagnostic Microscopy", ANALYTICAL AND QUANTITATIVE CYTOLOGY, vol. 2, no. 3, 1980, pages 203 - 220 *
YEH W.C. ET AL.: "Liver Steatosis Classification Using High-Frequency Ultrasound", ULTRASOUND IN MEDICINE AND BIOLOGY, vol. 31, no. 5, 2005, pages 599 - 605, XP004871206 *

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