Pharmacy Market

Unlocking iPSCs to Improve CNS Modeling and Drug Discovery

June 15, 2022

Unlocking iPSCs
To date, therapeutic advances in treating central nervous system (CNS) disorders have been incremental at best. As the global population increases and older demographics begin to make up a disproportionately larger percentage, 

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OTHER WHITEPAPERS
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How Specialty Pharmacy Can Drive Better Outcomes in Diabetes

whitePaper | July 21, 2022

The growing costs of the diabetes epidemic in the U.S. are staggering. Over 37 million Americans around 11% of the population now have diabetes, and according to a recent study, over 60 million Americans are expected to have the disease by 2060.

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Simcyp™ PBPK for Drug-Drug Interactions (DDI)

whitePaper | July 4, 2023

The past two decades have witnessed transformative changes in our approach to using modeling & simulation to assess and manage DDIs. Multidisciplinary innovations in mechanistic assessment of absorption, distribution, metabolism, and excretion (ADME), population pharmacology and pharmacogenetics.

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Simulation in the pharmaceutical industry

whitePaper | November 24, 2022

The pharmaceutical industry will face many challenges over the next decade, from industry-wide trends to new operational pressures. The key to meeting these challenges is adopting an agile, scalable and efficient approach to drug discovery and manufacturing.

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Assessing drug target association from biological evidences

whitePaper | July 7, 2022

The full drug target profile identification is many times a necessary step in drug development process. Recently, the move to a more holistic approach in drug discovery has resulted in the increasing use of cell-based assays to discover new biologically active small molecules.

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THE PHARMACEUTICAL INDUSTRY AND GLOBAL HEALTH

whitePaper | January 31, 2022

COVID-19 is an infectious disease caused by a newly discovered coronavirus, which was first identified in December 2019.

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Paving the way for pharma R&D to use FAIR data

whitePaper | December 16, 2019

The use of FAIR (Findable, Accessible, Interoperable and Reusable) data in drug discovery and development could be transformational. But the pharma industry has been slow to embrace FAIR data — partially because of difficulties in establishing the necessary infrastructure and because of internal culture.

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Medidata Solutions

Medidata is leading the digital transformation of life sciences, creating hope for millions of patients. Medidata helps generate the evidence and insights

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