Summary of Machine Learning to Promote Translational Research: Predicting Patent and Clinical Trial Inclusion in Dementia Research, by Matilda Beinat et al.
Machine Learning to Promote Translational Research: Predicting Patent and Clinical Trial Inclusion in Dementia Research
by Matilda Beinat, Julian Beinat, Mohammed Shoaib, Jorge Gomez Magenti
First submitted to arxiv on: 10 Jan 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study tackles the pressing issue of dementia’s slow translation from fundamental discoveries to practical applications. By leveraging machine learning, researchers aimed to predict the translational potential of dementia research publications using metadata, concepts, and abstracts. The team extracted data from 43,091 UK dementia research papers between 1990-2023 and trained a CatBoost Classifier to forecast citations in future patents or clinical trials. The model combining metadata, concept, and abstract embeddings achieved high performance: 0.84 AUROC and 77.17% accuracy for patent predictions, and 0.81 AUROC and 75.11% accuracy for clinical trial predictions. These findings demonstrate the potential of machine learning to accelerate dementia research by identifying overlooked publications and guiding translational strategies. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Dementia is a big problem that affects many people in the UK. It’s hard to turn research into helpful treatments or solutions. This study uses computers to help fix this problem. They took lots of information from old research papers on dementia and used special math tricks to predict which ideas will be useful in the future. The computer did a great job! It was able to guess which ideas would be used in new medicines or treatments correctly most of the time. This could help scientists find better ways to treat dementia faster. |
Keywords
* Artificial intelligence * Machine learning * Translation
