Home / Publication / Early Assessment of Proarrhythmic Risk of Drugs Using the In Vitro Data and Single-cell-based In Silico Models: Proof of Concept

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Early Assessment of Proarrhythmic Risk of Drugs Using the In Vitro Data and Single-cell-based In Silico Models: Proof of Concept

Author(s): Mitra Abbasi, Ben Small, Nikunjkumar Patel, Masoud Jamei, Sebastian Polak

Year: 2016年11月23日

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Early Assessment of Proarrhythmic Risk of Drugs Using the In Vitro Data and Single-cell-based In Silico Models: Proof of Concept

Early Assessment of Proarrhythmic Risk of Drugs Using the In Vitro Data and Single-cell-based In Silico Models: Proof of Concept

Accelerating Oncology Drug FDA Submission with Project Management Services

5 Clinical Development Challenges Model-Based Meta-Analysis (MBMA) Helps Address

How Model-informed drug development rescue projects from a risky situation

Critical Roles for Modeling and Simulation and Real-World Evidence to Inform Challenges in Clinical Trial Diversity Planning

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Early Assessment of Proarrhythmic Risk of Drugs Using the In Vitro Data and Single-cell-based In Silico Models: Proof of Concept

Accelerating Oncology Drug FDA Submission with Project Management Services

5 Clinical Development Challenges Model-Based Meta-Analysis (MBMA) Helps Address

How Model-informed drug development rescue projects from a risky situation​

Critical Roles for Modeling and Simulation and Real-World Evidence to Inform Challenges in Clinical Trial Diversity Planning

メルマガ登録

クイックアクセス

ソリューション

お問合せ

How Model-informed drug development rescue projects from a risky situation