AIMC Topic: Drug Approval

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AI-Driven Analysis of Drug Marketing Efficiency: Unveiling FDA Approval to Market Release Dynamics.

The AAPS journal Feb 20, 2025
This paper explores a novel approach using generative AI to enhance drug marketing strategies in the US pharmaceutical sector. By leveraging an official dataset sourced from the US government, the AI generates Python code to analyze the time interval...
Humans United States Food and Drug Administration Drug Industry Drug Approval Marketing Artificial Intelligence Time Factors United States
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Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?

Journal of medicinal chemistry Sep 10, 2024
Despite implementing hundreds of strategies, cancer drug development suffers from a 95% failure rate over 30 years, with only 30% of approved cancer drugs extending patient survival beyond 2.5 months. Adding more criteria without eliminating nonessen...
Neoplasms Antineoplastic Agents Drug Approval Humans Machine Learning
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3D printed dosage forms, where are we headed?

Expert opinion on drug delivery Jul 24, 2024
INTRODUCTION: 3D Printing (3DP) is an innovative fabrication technology that has gained enormous popularity through its paradigm shifts in manufacturing in several disciplines, including healthcare. In this past decade, we have witnessed the impact o...
Dosage Forms Drug Delivery Systems Drug Development Printing, Three-Dimensional Technology, Pharmaceutical Humans Drug Approval Pharmaceutical Preparations Artificial Intelligence Tablets Precision Medicine
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FDA Modernization Act 2.0: An insight from nondeveloping country.

Drug development research Aug 17, 2023
Animal testing is required in drug development research and is crucial for assessing the efficacy and safety of medications before they are commercialized. However, the newly furnished Food and Drug Administration Modernization Act 2.0 has given new ...
Humans Artificial Intelligence Animals United States Drug Development Drug Approval Pharmaceutical Preparations United States Food and Drug Administration
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Exploring the potential of FDA approved anti-diabetic drugs for repurposing against COVID-19: a core combination of multiple computational strategies and integrated artificial intelligence.

Journal of biomolecular structure & dynamics Jul 16, 2023
The latest variant of coronavirus is omicron. The World Health Organization (WHO) designated variation 'B.1.1.529' named omicron as a variant of concern (VOC) on 26 November 2021. By September 2020, it will have infected over 16 million patients and ...
United States Hypoglycemic Agents Drug Repositioning United States Food and Drug Administration SARS-CoV-2 Molecular Docking Simulation Antiviral Agents COVID-19 Drug Treatment Quantitative Structure-Activity Relationship Drug Approval Artificial Intelligence COVID-19 Humans
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Deep-learning based repurposing of FDA-approved drugs against dihydrofolate reductase and molecular dynamics study.

Journal of biomolecular structure & dynamics Apr 21, 2021
causes the fatal fungal bloodstream infection in humans called Candidiasis. Most of the species are resistant to the antifungals used to treat them. Drug-resistant poses very serious public health issues. To overcome this, the development of effec...
Folic Acid Antagonists Aminopyridines Tetrahydrofolate Dehydrogenase Benzodioxoles Lactams, Macrocyclic Drug Approval Rifampin Sulfonamides United States Food and Drug Administration Proline United States Candida albicans Cyclopropanes Humans Antifungal Agents Molecular Docking Simulation Molecular Dynamics Simulation Drug Repositioning Deep Learning Candidiasis
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Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).

Molecular pharmaceutics Jun 8, 2020
Drug-induced liver injury (DILI) is one the most unpredictable adverse reactions to xenobiotics in humans and the leading cause of postmarketing withdrawals of approved drugs. To date, these drugs have been collated by the FDA to form the DILIRank da...
Software Algorithms Databases, Factual Bayes Theorem Drug-Related Side Effects and Adverse Reactions Computer Simulation Liver Humans Machine Learning Biopharmaceutics Drug Approval Chemical and Drug Induced Liver Injury Databases, Pharmaceutical
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Machine Learning in Drug Discovery and Development Part 1: A Primer.

CPT: pharmacometrics & systems pharmacology Mar 11, 2020
Artificial intelligence, in particular machine learning (ML), has emerged as a key promising pillar to overcome the high failure rate in drug development. Here, we present a primer on the ML algorithms most commonly used in drug discovery and develop...
Drug Approval History, 20th Century Models, Theoretical Drug Development Predictive Value of Tests Artificial Intelligence Machine Learning Algorithms Humans Drug Discovery
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Future development of artificial organs related with cutting edge emerging technology and their regulatory assessment: PMDA's perspective.

Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs Feb 28, 2020
Future development of innovative artificial organs is closely related with cutting edge emerging technology. These technologies include brain machine or computer interface, organs made by three dimensional bioprinting, organs designed from induced-pl...
Artificial Intelligence Japan Artificial Organs Device Approval Humans Drug Approval Biotechnology
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On strategic choices faced by large pharmaceutical laboratories and their effect on innovation risk under fuzzy conditions.

Artificial intelligence in medicine Aug 11, 2019
OBJECTIVES: We develop a fuzzy evaluation model that provides managers at different responsibility levels in pharmaceutical laboratories with a rich picture of their innovation risk as well as that of competitors. This would help them take better str...
Decision Making, Organizational Fuzzy Logic Clinical Trials, Phase I as Topic Probability Humans Models, Statistical Strategic Planning Clinical Trials, Phase IV as Topic Drug Approval Drug Industry Research Clinical Trials, Phase II as Topic Clinical Trials, Phase III as Topic Inventions Risk Assessment
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