AIMC Topic: Patents as Topic
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Patent value prediction in biomedical textiles: A method based on a fusion of machine learning models.
PloS one
Apr 24, 2025
Patent value prediction is essential for technology innovation management. This study aims to enhance technology innovation management in the field of biomedical textiles by processing complex biomedical patent information to improve the accuracy of ...
Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model.
Scientific reports
Mar 4, 2025
In the rapidly evolving field of healthcare, Artificial Intelligence (AI) is increasingly driving the promotion of the transformation of traditional healthcare and improving medical diagnostic decisions. The overall goal is to uncover emerging trends...
Needle in a haystack: Harnessing AI in drug patent searches and prediction.
PloS one
Dec 2, 2024
The classification codes granted by patent offices are useful instruments for simplifying the bewildering variety of patents in existence. They are singularly unhelpful, however, in locating a specific subgroup of patents such as that of drug-related...
Early warning of trends in commercial wildlife trade through novel machine-learning analysis of patent filing.
Nature communications
Aug 1, 2024
Unsustainable wildlife trade imperils thousands of species, but efforts to identify and reduce these threats are hampered by rapidly evolving commercial markets. Businesses trading wildlife-derived products innovate to remain competitive, and the pat...
A new hybrid machine learning model for predicting the renewal life of patents.
PloS one
Jun 26, 2024
In almost every country, patents need to be renewed multiple times after they are granted. A patentee assesses the value of the patent and then pays a renewal fee to keep it active for another stipulated period. The factors that characterize the valu...
Catalyzing innovation in cancer drug discovery through artificial intelligence, machine learning and patency.
Pharmaceutical patent analyst
May 21, 2024
Large language models for science and medicine.
European journal of clinical investigation
Feb 21, 2024
Large language models (LLMs) are a type of machine learning model that learn statistical patterns over text, such as predicting the next words in a sequence of text. Both general purpose and task-specific LLMs have demonstrated potential across diver...
Inactive-enriched machine-learning models exploiting patent data improve structure-based virtual screening for PDL1 dimerizers.
Journal of advanced research
Jan 26, 2024
INTRODUCTION: Small-molecule Programmable Cell Death Protein 1/Programmable Death-Ligand 1 (PD1/PDL1) inhibition via PDL1 dimerization has the potential to lead to inexpensive drugs with better cancer patient outcomes and milder side effects. However...
Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis.
PloS one
Dec 31, 2021
Artificial intelligence (AI) is emerging as a technology at the center of many political, economic, and societal debates. This paper formulates a new AI patent search strategy and applies this to provide a landscape analysis of AI innovation dynamics...
Marketable value estimation of patents using ensemble learning methodology: Focusing on U.S. patents for the electricity sector.
PloS one
Sep 13, 2021
Patent valuation is required to revitalize patent transactions, but calculating a reasonable value that consumers and suppliers could satisfy is difficult. When machine learning is used, a quantitative evaluation based on a large volume of data is po...
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