DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information (2024.acl-demos)
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| Challenge: | Drug safety research is crucial for maintaining public health, but resources available to the public are limited. |
| Approach: | They propose an easy-to-use and interactive multi-source information visualisation platform for drug safety study. |
| Outcome: | The proposed platform provides a one-stop information analysis, retrieval, and annotation service. |
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Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron Wallace, Bino John, Nigel Greene, Joseph Kim, Yulan He
| Challenge: | Using NLP methods to discover and extract adverse drug events from unstructured textual data is difficult because it requires time-consuming manual curation. |
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A Dataset for N-ary Relation Extraction of Drug Combinations (2022.naacl-main)
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Aryeh Tiktinsky, Vijay Viswanathan, Danna Niezni, Dana Meron Azagury, Yosi Shamay, Hillel Taub-Tabib, Tom Hope, Yoav Goldberg
| Challenge: | Combination therapies are becoming standard of care for diseases such as cancer, tuberculosis, malaria and HIV. |
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BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance (2023.findings-emnlp)
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Karel D’Oosterlinck, François Remy, Johannes Deleu, Thomas Demeester, Chris Develder, Klim Zaporojets, Aneiss Ghodsi, Simon Ellershaw, Jack Collins, Christopher Potts
| Challenge: | pharmacovigilance (PV) is a tool for analyzing adverse drug events from biomedical literature . pharmacologists use natural language processing to extract core information from papers . |
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Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development (2024.findings-acl)
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| Challenge: | ADEs are a serious public health concern and cost healthcare systems billions of dollars . despite advancements in healthcare, ADE detection remains a significant challenge . |
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A Corpus of Drug Usage Guidelines Annotated with Type of Advice (L18-1)
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| Challenge: | Current research indicates patients are often unaware of such critical information / advice related to their prescription drugs due to lack of communication with their doctors and/or pharmacists. |
| Approach: | They propose an annotation scheme for annotating safety critical advice from drug usage guidelines and an annotated dataset containing drug usage guideline data. |
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Annotation of Adverse Drug Reactions in Patients’ Weblogs (2020.lrec-1)
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| Challenge: | Adverse drug reactions are a severe problem that significantly degrade quality of life and make the therapeutic approach unacceptable. |
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Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit (2024.findings-acl)
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| Challenge: | Our study aims to develop a multi-level, multi-label classification model to analyze online user-generated texts about substance use experiences. |
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A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages (2024.lrec-main)
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Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada, Cyril Grouin, Thomas Lavergne, Aurélie Névéol, Patrick Paroubek, Philippe Thomas, Tomohiro Nishiyama, Sebastian Möller, Eiji Aramaki, Yuji Matsumoto, Roland Roller, Pierre Zweigenbaum
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PharmaCoNER: Pharmacological Substances, Compounds and proteins Named Entity Recognition track (D19-57)
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Aitor Gonzalez-Agirre, Montserrat Marimon, Ander Intxaurrondo, Obdulia Rabal, Marta Villegas, Martin Krallinger
| Challenge: | Biomedical text mining is one of the most prolific application domains of natural language processing technologies. |
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Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time (2020.acl-demos)
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| Challenge: | Trialstreamer extracts key pieces of information that clinicians need when appraising the literature . the highest-quality evidence to inform healthcare practice comes from randomized controlled trials . |
| Approach: | They propose a system that extracts key pieces of information from biomedical abstracts and combines them into a database of clinical trial reports. |
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