CA2800722C - Systemes et procedes pour analyse multi-variable de donnees d'evenements defavorables - Google Patents

Systemes et procedes pour analyse multi-variable de donnees d'evenements defavorables Download PDF

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Publication number
CA2800722C
CA2800722C CA2800722A CA2800722A CA2800722C CA 2800722 C CA2800722 C CA 2800722C CA 2800722 A CA2800722 A CA 2800722A CA 2800722 A CA2800722 A CA 2800722A CA 2800722 C CA2800722 C CA 2800722C
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Prior art keywords
medication
adverse event
analyzer
patient
identification
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CA2800722A
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English (en)
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CA2800722A1 (fr
Inventor
David Jackson
Theodoros Soldatos
Guillaume Taglang
Alexander Zien
Stephan Brock
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Molecular Health GmbH
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Molecular Health GmbH
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Priority claimed from US13/446,820 external-priority patent/US20130179187A1/en
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Publication of CA2800722A1 publication Critical patent/CA2800722A1/fr
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Publication of CA2800722C publication Critical patent/CA2800722C/fr
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Abstract

La présente divulgation concerne des systèmes et procédés pour analyse multi-variable de données dévénements défavorables. Selon un premier aspect, des informations génomiques propres au patient sont utilisées pour optimiser la thérapie du patient ou atténuer les risques de ladite thérapie. Selon dautres aspects de linvention, des cibles de médicaments inconnues sont identifiées par lintermédiaire de données dévénements défavorables. Selon dautres aspects encore, un médicament est identifié pour exclure de lutilisation pour une indication ou dun essai clinique dun autre médicament. Selon un autre aspect, un profil deffets secondaires prédit est généré pour un médicament ciblant une nouvelle cible. Selon un autre aspect encore, des polythérapies sont identifiées par lintermédiaire de données dévénements défavorables. Selon un autre aspect, des interactions moléculaires entre une pluralité dentités moléculaires sont affichées dans un format intuitif. Selon un autre aspect encore, les entités moléculaires responsables des différences des événements défavorables entre des indications semblables sont identifiées. Selon un autre aspect encore, les variants génétiques associés aux événements défavorables dans un essai clinique sont identités.
CA2800722A 2012-01-06 2013-01-04 Systemes et procedes pour analyse multi-variable de donnees d'evenements defavorables Active CA2800722C (fr)

Applications Claiming Priority (12)

Application Number Priority Date Filing Date Title
US201261584164P 2012-01-06 2012-01-06
US61/584,164 2012-01-06
US201261605626P 2012-03-01 2012-03-01
US61/605,626 2012-03-01
US13/446,820 US20130179187A1 (en) 2012-01-06 2012-04-13 Systems and methods for de-risking patient treatment
US13/446,871 US9218457B2 (en) 2012-01-06 2012-04-13 Systems and methods for identifying unknown drug targets via adverse event data
US13/446,912 2012-04-13
US13/446,871 2012-04-13
US13/446,820 2012-04-13
US13/446,917 US9779214B2 (en) 2012-01-06 2012-04-13 Systems and methods for personalized de-risking based on patient genome data
US13/446,912 US9235686B2 (en) 2012-01-06 2012-04-13 Systems and methods for using adverse event data to predict potential side effects
US13/446,917 2012-04-13

Publications (2)

Publication Number Publication Date
CA2800722A1 CA2800722A1 (fr) 2013-07-06
CA2800722C true CA2800722C (fr) 2020-12-29

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CA2800722A Active CA2800722C (fr) 2012-01-06 2013-01-04 Systemes et procedes pour analyse multi-variable de donnees d'evenements defavorables

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Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10803144B2 (en) 2014-05-06 2020-10-13 International Business Machines Corporation Predicting drug-drug interactions based on clinical side effects
CN107145735B (zh) * 2017-05-04 2019-08-06 中国药科大学 一种评估药物发生不良反应倾向的方法
CN112786104B (zh) * 2021-02-03 2024-03-22 东北大学 基于机器学习的药物疗效影响因子挖掘方法

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CA2800722A1 (fr) 2013-07-06

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