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<span style="font-kerning: none;">Dear all, </span></p>
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<span style="font-kerning: none;">We are pleased to announce the special issue of the International Journal of Approximate Reasoning titled “Causal Inference in Healthcare”. The deadline for manuscript submission is November 5th, 2025.</span></p>
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<span style="font-kerning: none;">The widespread availability of real-world data from electronic health records, databases, registries, and digital health tools offers unique opportunities for advancing healthcare. However, extracting actionable insights requires
grounded methods that account for bias, confounders, and the complexity of medical and biomedical systems. Causal inference provides a rigorous and robust framework for modelling cause-and-effect relationships, addressing biases and confounding factors and
evaluating treatment effects, ultimately enabling personalised decision-making. This special issue seeks contributions exploring innovative applications, methodological advancements, and interdisciplinary perspectives on causality in healthcare, with a focus
on utilising evidence from diverse data sources to address critical medical challenges. </span></p>
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<span style="font-kerning: none;">Topics of interest include, but are not limited to:</span></p>
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<span style="font-kerning: none;">- Personalised treatment effect estimation.</span></p>
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<span style="font-kerning: none;">- Causal inference in randomised clinical trials.</span></p>
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<span style="font-kerning: none;">- Bias identification and mitigation in healthcare studies.</span></p>
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<span style="font-kerning: none;">- Counterfactual reasoning for clinical prediction.</span></p>
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<span style="font-kerning: none;">- Counterfactual fairness in healthcare.</span></p>
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<span style="font-kerning: none;">- Mediation analysis in medical research.</span></p>
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<span style="font-kerning: none;">Guest editors:</span></p>
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<span style="font-kerning: none;">- Laura Azzimonti, IDSIA USI-SUPSI, Lugano, Switzerland (<a href="mailto:laura.azzimonti@supsi.ch"><span style="font-kerning: none; color: rgb(22, 123, 255);">laura.azzimonti@supsi.ch</span></a>) </span></p>
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<span style="font-kerning: none;">- Alessandro Antonucci, IDSIA USI-SUPSI, Lugano, Switzerland (<a href="mailto:alessandro.antonucci@supsi.ch"><span style="font-kerning: none; color: rgb(22, 123, 255);">alessandro.antonucci@supsi.ch</span></a>)</span></p>
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<span style="font-kerning: none;">Important Dates:</span></p>
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<span style="font-kerning: none;">- Submission Open Date: May 05, 2025</span></p>
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<span style="font-kerning: none;">- Submission Deadline: November 05, 2025</span></p>
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<span style="font-kerning: none;">- Notification of Acceptance: March 05, 2026</span></p>
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<span style="font-kerning: none;">Manuscripts must be submitted via the International Journal of Approximate Reasoning online submission system (Editorial Manager®). Please select the article type “VSI: Causal Inference in Healthcare” when submitting your manuscript
online.</span></p>
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<span style="font-kerning: none;">Please refer to the Guide for authors to prepare your manuscript. All submitted papers under this call will undergo the journal's standard review process. For any further information, the authors may contact the Guest Editors.</span></p>
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<span style="font-kerning: none;">We warmly encourage you to submit your work or share this call with colleagues who might be interested.</span></p>
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<span style="font-kerning: none;">For further details, please visit </span></p>
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<span style="text-decoration: underline; font-kerning: none;"><a href="https://www.sciencedirect.com/special-issue/321586/causal-inference-in-healthcare">https://www.sciencedirect.com/special-issue/321586/causal-inference-in-healthcare</a></span></p>
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<span style="font-kerning: none;">Thank you for your attention.</span></p>
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<span style="font-kerning: none;">Best regards,</span></p>
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Laura Azzimonti</p>
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Guest Editor</p>
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<span style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);">–––––––––––––––––––––––––––––––––––––––––––––</span></p>
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<div>Scuola universitaria professionale della Svizzera italiana <br>
Istituto Dalle Molle di studi sull’intelligenza artificiale<br>
IDSIA USI-SUPSI<br>
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Laura Azzimonti, PhD<br>
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Polo universitario Lugano<br>
Via la Santa 1<br>
CH – 6962 Lugano-Viganello<br>
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Tel. +41 (0)58 666 66 44<br>
laura.azzimonti@idsia.ch<br>
www.idsia.ch</div>
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