Key indicators of phase transition for clinical trials through machine learning
F Feijoo, M Palopoli, J Bernstein, S Siddiqui… - Drug discovery today, 2020 - Elsevier
Highlights•Protocol features across therapeutic areas and trial phases linked to phase
success.•Supervised machine learning predicts drug transition across clinical trial …
success.•Supervised machine learning predicts drug transition across clinical trial …
A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts
D Westergaard, HH Stærfeldt, C Tønsberg… - PLoS computational …, 2018 - journals.plos.org
Across academia and industry, text mining has become a popular strategy for keeping up
with the rapid growth of the scientific literature. Text mining of the scientific literature has …
with the rapid growth of the scientific literature. Text mining of the scientific literature has …
Comparing research trends with patenting activities in the biomedical sector: The case of dementia
Publications and patents have long been regarded as useful sources of technological
knowledge in the biomedical sector; thus, they have been analyzed to monitor technology …
knowledge in the biomedical sector; thus, they have been analyzed to monitor technology …
Retrospective and prospective approaches of coronavirus publications in the last half-century: a Latent Dirichlet allocation analysis
Purpose The present article's primary purpose is the topic modeling of the global
coronavirus publications in the last 50 years. Design/methodology/approach The present …
coronavirus publications in the last 50 years. Design/methodology/approach The present …
When cyclodextrins met data science: Unveiling their pharmaceutical applications through network science and text-mining
We present a data-driven approach to unveil the pharmaceutical technologies of
cyclodextrins (CDs) by analyzing a dataset of CD pharmaceutical patents. First, we …
cyclodextrins (CDs) by analyzing a dataset of CD pharmaceutical patents. First, we …
[HTML][HTML] Technological innovations in disease management: text mining US patent data from 1995 to 2017
Background Patents are important intellectual property protecting technological innovations
that inspire efficient research and development in biomedicine. The number of awarded …
that inspire efficient research and development in biomedicine. The number of awarded …
Illuminating the druggable genome through patent bioactivity data
The patent literature is a potentially valuable source of bioactivity data. In this article we
describe a process to prioritise 3.7 million life science relevant patents obtained from the …
describe a process to prioritise 3.7 million life science relevant patents obtained from the …
A hybrid protocol for finding novel gene targets for various diseases using microarray expression data analysis and text mining
S Manoharan, OR Iyyappan - Biomedical text mining, 2022 - Springer
The advancement in technology for various scientific experiments and the amount of raw
data produced from that is enormous, thus giving rise to various subsets of biologists …
data produced from that is enormous, thus giving rise to various subsets of biologists …
Multi-label classification and interactive NLP-based visualization of electric vehicle patent data
D De Clercq, NF Diop, D Jain, B Tan, Z Wen - World Patent Information, 2019 - Elsevier
The objectives of this study are to (1) interactively visualize information embedded in patent
texts, and (2) train a high-accuracy multi-label classification algorithm capable of classifying …
texts, and (2) train a high-accuracy multi-label classification algorithm capable of classifying …
Analysis of the effect of data properties in automated patent classification
JC Gomez - Scientometrics, 2019 - Springer
Patent classification is a task performed in patent offices around the world by experts, where
they assign category codes to a patent application based on its technical content …
they assign category codes to a patent application based on its technical content …