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CDD Vault Update (September 2024 #3) - Release Notes

Collaborative Drug

AUC represents the total response of a system to varying levels of a drug or treatment and can serve as a powerful curve quality control metric. For assistance, questions, or to schedule a demo, please contact support@collaborativedrug.com.

Treatment 278
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NIH Discontinues their Drug Interaction API

DrugBank

Recently, the NIH announced it is discontinuing its drug-drug interaction API and associated features in RxNav. Up until now, DrugBank’s data has fed directly into the RxNav API—more specifically, the drug interaction API offered by RxNav was powered, in part, by DrugBank’s drug-drug interaction dataset.

Drugs 105
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Simplify and Accelerate Benefits Verification with a Fully Integrated, Adaptable Platform

Drug Channels

To learn more about EVERSANA’s technology solution, schedule a live demo here. d/b/a Drug Channels Institute. Drug Channels® is a registered trademark of Pembroke Consulting, Inc. Read on for Maria’s insights. Read more » Copyright © 2006-2023 Pembroke Consulting, Inc. This Feed is for personal non-commercial use only.

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AI in Drug Discovery - A Highly Opinionated Literature Review (Part II)

Practical Cheminformatics

Picking up where we left off in Part I , this post covers several other ML in drug discovery topics that interested me in 2023. Aside from some very brief demos on code generation and literature searches, mentions of LLM applications in preclinical research were scarce. Most of the drug discovery examples were underwhelming.

Drugs 139
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Why Drug Approvals and Development Hinge on Diversity

H1 Blog

The success of drug development and approval relies heavily on the ability to identify diverse patient populations for clinical trials. From trial site feasibility to successful trial recruitment, diversity within a trial population helps ensure the safety and efficacy of drugs that reach the market. African Americans).

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7 Ways of Generating AI-produced ROI for Life Sciences

H1 Blog

Accelerated Drug Discovery Cost Savings: The traditional drug discovery process is both time-consuming and expensive. AI can help in speeding up various phases like target identification, molecule optimization, and pre-clinical testing, thereby reducing the cost and time to bring a drug to market.

Science 59
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FDA Poised to Make Impact on Underrepresented Populations in Clinical Studies

H1 Blog

This effort seeks to provide the pharmaceutical industry with more accurate representation of patient populations, thereby enhancing the safety and efficacy for prescription drugs and medical devices. The Impact of Draft Guidance on Drug Development As it stands, drug development is an expensive endeavor, costing approximately $2.3

FDA 59