<div dir="ltr"><div dir="ltr"><p dir="ltr" style="line-height:1.2;text-align:center;margin-top:0pt;margin-bottom:0pt;padding:9pt 0pt 12pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Call for Participation MultiClinAI Shared Task (SMM4H-HeaRD in the ACL 2026) </span></p><p dir="ltr" style="line-height:1.2;text-align:center;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Multilingual Clinical Entity Annotation Projection and Extraction</span></p><p dir="ltr" style="line-height:1.38;text-align:center;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(17,85,204);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline"><a href="https://temu.bsc.es/MultiClinAI/">https://temu.bsc.es/MultiClinAI/</a></span></p><p dir="ltr" style="line-height:1.38;text-align:center;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><span style="font-size:12pt;font-family:Calibri,sans-serif;color:rgb(0,0,255);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">New Multilingual-resources and Annotation guidelines are now available</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">MultiClinAI is the first shared task focused on (1) the automatic creation of comparable multilingual corpora and (2) the automatic detection of key clinical concepts (diseases, symptoms, and procedures) in seven languages: Spanish, English, Italian, Dutch, Romanian, and Czech. MultiClinAI will be held as part of the #SMM4H-HeaRD Workshop at the ACL 2026 conference (online).</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Key information:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Web:</span><a href="https://mailtrack.io/trace/link/b82969cdff5285721c515b5fe3b2af2c28abd34e?url=https%3A%2F%2Ftemu.bsc.es%2Fdistemist%2F&userId=20950&signature=6d043df376d10380" style="text-decoration-line:none"><span style="font-size:10pt;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">https://temu.bsc.es/MultiClinAI/</span></a></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Data:</span><a href="https://mailtrack.io/trace/link/5ccb81bce7b07971c4c79b11f735aa6eee7cb0f8?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.6408476&userId=20950&signature=92636c599716c6f5" style="text-decoration-line:none"><span style="font-size:10pt;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span></a><span style="font-size:10pt;color:rgb(17,85,204);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline"><a href="https://doi.org/10.5281/zenodo.18508039">https://doi.org/10.5281/zenodo.18508039</a></span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Annotation guidelines:</span><a href="https://mailtrack.io/trace/link/92a08d209c6530f84b412c380ae19e8760b8d31b?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.6458078&userId=20950&signature=3e0d63151f201b2b" style="text-decoration-line:none"><span style="font-size:10pt;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span></a><span style="font-size:10pt;color:rgb(17,85,204);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline"><a href="https://zenodo.org/records/13151040">https://zenodo.org/records/13151040</a></span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Registration:</span><a href="https://mailtrack.io/trace/link/0dfb76782b3e7e5cd3ca2e60e694cabccb150191?url=https%3A%2F%2Ftemu.bsc.es%2Fdistemist%2Fregistration%2F&userId=20950&signature=2bfdd9856c072a69" style="text-decoration-line:none"><span style="font-size:10pt;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span></a><span style="font-size:10pt;color:rgb(17,85,204);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline"><a href="https://temu.bsc.es/MultiClinAI/registration/">https://temu.bsc.es/MultiClinAI/registration/</a></span></p></li></ul><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Motivation</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">There has been considerable progress in clinical language technology solutions, resulting in a variety of highly relevant practical applications to cope with the growing amount of biomedical and healthcare-related data and unstructured content sources. In particular, the automatic extraction of key clinical entities such as diseases, symptoms, and procedures is extremely valuable for most clinical data analytics and predictive modeling use cases. Nevertheless, there are very </span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">few high-quality annotated corpora</span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">, datasets, and annotation guidelines available for the training or robust evaluation of advanced NLP- or LLM-based clinical entity recognition systems, which are typically</span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> limited to monolingual scenarios</span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> covering only a single language.</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Thus, there is a clear need to foster more efficient strategies to generate not only annotated datasets in multiple languages, but also to ensure that they align in terms of the underlying annotation criteria, in order to generate </span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">comparable labeled datasets across languages</span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> and promote </span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">comparable entity extraction</span><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> systems across languages. Multilinguality is clinically important because healthcare systems document patient information in local languages. However, most clinical NLP tools are developed primarily for English, limiting their applicability in non-English-speaking contexts. Developing multilingual models helps reduce linguistic bias and improves the global applicability of clinical language technologies. Such models enable more equitable AI deployment across different regions and healthcare systems.</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Multilingual clinical NLP has numerous important use cases including:</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">- In international clinical trials, it can be used to extract structured data from trial sites across different countries and to ensure consistent outcome definitions across languages.</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">- For cohort identification, it enables the identification of eligible patients from unstructured electronic health records (EHRs) and the extraction of phenotypes for observational studies.</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">-In disease surveillance, multilingual systems can help detect rare diseases or emerging health trends and identify post-marketing drug safety signals.</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">- For epidemic monitoring, they support the early detection of infectious disease patterns and the analysis of multilingual emergency department notes.</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">-In cardiovascular and chronic disease monitoring, such systems can track symptom progression across large multilingual datasets and study treatment adherence patterns.</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">- They also contribute to data standardization by converting free text into structured, interoperable datasets and enabling the secondary use of EHR data. </span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">- Finally, multilingual knowledge graphs can link extracted entities across languages and support federated learning across institutions.</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">In this context, the MultiClinAI (Multilingual Clinical Entity Annotation Projection and Extraction) shared task addresses the creation and evaluation of comparable multilingual clinical resources across seven languages, focusing on three key entity types: diseases, symptoms, and procedures.</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">MultiClinNER subtask: multilingual clinical named entity recognition across expert-annotated gold-standard datasets.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">MultiClinCorpus subtask: automatic generation of comparable multilingual clinical corpora through annotation projection techniques.</span></p></li></ul><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> This setup will enable a robust benchmarking scenario for multilingual clinical NLP approaches.</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Schedule</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">MultiClinAI Shared Task –  training set release </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(February 6, 2026)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">MultiClinNER test set release </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(March 18, 2026)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">MultiClinCorpus test set release </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(March 25, 2026)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">MultiClinNER test set prediction submissions </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(March 27, 2026)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">MultiClinCorpus test set prediction submissions </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(April 9, 2026)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Result / evaluation returned to teams </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(April 14, 2026)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Participant proceedings due</span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> (April 24, 2026)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Notification of acceptance  </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(May 15, 2026)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Camera-ready papers due </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(May 25, 2026)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">ACL Proceedings due (hard deadline) </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(June 1, 2026)</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Workshop (online) </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><span style="font-size:10pt;font-family:Calibri,sans-serif;background-color:transparent;font-style:italic;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">(July 2–3, 2026)</span></p></li></ul><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Publications and SMM4H-HeaRD in the ACL 2026 workshop</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Teams participating in MultiClinAI will be invited to contribute a systems description paper for the ACL 2026 Working Notes proceedings and a short presentation of their approach at the ACL 2026 workshop (online).</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Main Organizers</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Salvador Lima-López, Barcelona Supercomputing Center (BSC), Spain.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Fernando Gallego-Donoso, Barcelona Supercomputing Center (BSC), Spain.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Jan Rodríguez-Miret, Barcelona Supercomputing Center (BSC), Spain.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Judith Rosell, Barcelona Supercomputing Center (BSC), Spain.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:10pt;font-family:Calibri,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" role="presentation" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><span style="font-size:10pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Martin Krallinger, Barcelona Supercomputing Center (BSC), Spain.</span></p></li></ul></div></div>