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Vasu Chandrasekaran

Researcher at Merck & Co.

Publications -  18
Citations -  1153

Vasu Chandrasekaran is an academic researcher from Merck & Co.. The author has contributed to research in topics: Health care & Medicine. The author has an hindex of 9, co-authored 15 publications receiving 1021 citations. Previous affiliations of Vasu Chandrasekaran include Novartis & University of North Carolina at Greensboro.

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Innovation at the Intersection of Clinical Trials and Real-World Data Science to Advance Patient Care

TL;DR: A framework for linking drug development decisions with the value proposition of the drug, utilizing pharmacokinetic–pharmacodynamic–pharmacoeconomic models, is introduced.
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Predicting dementia with routine care EMR data.

TL;DR: In this article, the authors developed a machine learning (ML) model that can predict dementia in a general patient population from multiple health care institutions one year and three years prior to the onset of the disease without any additional monitoring or screening.
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Proposed structural models of human factor Va and prothrombinase

TL;DR: The prothrombinase complex consists of factor Xa, FVa, calcium ions, and phospholipid membrane, and plays a key role in the blood coagulation process.

Predicting Dementia With Routine Care EMR Data

TL;DR: The results show that the combined model is generalizable across multiple institutions and is able to predict dementia within one year of its onset with an accuracy of nearly 80% despite the fact that it was trained using routine care data.