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Predictive Analysis of First Abbreviated New Drug Application Submission for New Chemical Entities Based on Machine Learning Methodology
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.1982.03320430047030openalex-snapshot
Evaluating the Yield of Medical Tests
inferredcites →https://doi.org/10.1002/(sici)1097-0258(19980530)17:10<1169::aid-sim796>3.0.co;2-dopenalex-snapshot
Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach
inferredcites →https://doi.org/10.1002/9781118445112.stat08010openalex-snapshot
Random Forests for Survival Analysis
inferredcites →https://doi.org/10.1002/hep.1840070628openalex-snapshot
Multivariate survival analysis using Cox's regression model
inferredcites →https://doi.org/10.1002/sim.4780111409openalex-snapshot
The accelerated failure time model: A useful alternative to the cox regression model in survival analysis
inferredcites →https://doi.org/10.1016/j.ecolmodel.2004.03.013openalex-snapshot
An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data
inferredcites →https://doi.org/10.1038/sj.bjc.6601118openalex-snapshot
Survival Analysis Part I: Basic concepts and first analyses
inferredcites →https://doi.org/10.1038/sj.bjc.6601119openalex-snapshot
Survival Analysis Part II: Multivariate data analysis – an introduction to concepts and methods
inferredcites →https://doi.org/10.1080/13696998.2016.1176578openalex-snapshot
Updated trends in US brand-name and generic drug competition
inferredcites →https://doi.org/10.1093/bioinformatics/btq617openalex-snapshot
Improved performance on high-dimensional survival data by application of Survival-SVM
inferredcites →https://doi.org/10.1111/cts.12541openalex-snapshot
Big Data Toolsets to Pharmacometrics: Application of Machine Learning for Time‐to‐Event Analysis
inferredcites →https://doi.org/10.1111/j.2517-6161.1972.tb00899.xopenalex-snapshot
Regression Models and Life-Tables
inferredcites →https://doi.org/10.1186/s12874-018-0482-1openalex-snapshot
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
inferredcites →https://doi.org/10.1198/jasa.2009.tm08622openalex-snapshot
High-Dimensional Variable Selection for Survival Data
inferredcites →https://doi.org/10.3111/13696998.2013.873723openalex-snapshot
Recent trends in brand-name and generic drug competition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpt.1771openalex-snapshot
Application of Machine Learning in Drug Development and Regulation: Current Status and Future Potential
inferred← citeshttps://doi.org/10.1002/cpt.3053openalex-snapshot
Artificial Intelligence for Quantitative Modeling in Drug Discovery and Development: An Innovation and Quality Consortium Perspective on Use Cases and Best Practices
inferred← citeshttps://doi.org/10.1007/s43441-020-00163-xopenalex-snapshot
Factors that have an Impact on Abbreviated New Drug Application (ANDA) Submissions
inferred← citeshttps://doi.org/10.1016/b978-0-12-822211-9.00009-5openalex-snapshot
Regulatory requirement for the approval of novel, nanotechnology-based biological products
inferred← citeshttps://doi.org/10.1016/b978-0-443-34059-8.00011-7openalex-snapshot
Artificial intelligence-based technologies for advancing research and development in the pharmaceutical industry: current developments and challenges
inferred← citeshttps://doi.org/10.1016/j.clinthera.2024.05.012openalex-snapshot
Evolution of Drug Development and Regulatory Affairs: The Demonstrated Power of Artificial Intelligence
inferred← citeshttps://doi.org/10.1038/d41573-020-00101-4openalex-snapshot
Supporting a data-driven approach to regulatory intelligence
inferred← citeshttps://doi.org/10.1038/s41467-022-32033-5openalex-snapshot
Decoding kinase-adverse event associations for small molecule kinase inhibitors
inferred← citeshttps://doi.org/10.1111/cts.70365openalex-snapshot
Predictive Analysis for First Submission of Generic Drug Application for Orphan Drug Products Using Random Survival Forest
inferred← citeshttps://doi.org/10.1186/s12992-026-01221-zopenalex-snapshot
Patent challenges without entry? Reassessing first generic exclusivity under the patent–linkage system in South Korea
inferred← citeshttps://doi.org/10.1371/journal.pmed.1004540openalex-snapshot
Predicting patent challenges for small-molecule drugs: A cross-sectional study
inferred← citeshttps://doi.org/10.3389/frai.2021.736697openalex-snapshot
What Makes Artificial Intelligence Exceptional in Health Technology Assessment?
inferred← citeshttps://doi.org/10.3390/logistics5040084openalex-snapshot
Digital Twin Integrated Reinforced Learning in Supply Chain and Logistics
inferred← citeshttps://doi.org/10.36948/ijfmr.2024.v06i04.26206openalex-snapshot
Patient Safety and Efficacy Considerations in Abbreviated New Drug Application (ANDA) Evaluation: Balancing Access and Regulation
inferred← citeshttps://doi.org/10.52711/0974-4150.2021.00056openalex-snapshot
Abbreviated New Drug Application Process: A Gift for The Industry and The Patients
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