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A rule-based system for explainable donor-patient matching in liver transplantation
(Open Publishing Association, 2019-09)
[Abstract]: In this paper we present web-liver, a rule-based system for decision support in the medical domain, focusing on its application in a liver transplantation unit for implementing policies for donor-patient matching. ...
M3DISEEN: A novel machine learning approach for predicting the 3D printability of medicines
(Elsevier B.V., 2020-11)
[Abstract]: Artificial intelligence (AI) has the potential to reshape pharmaceutical formulation development through its ability to analyze and continuously monitor large datasets. Fused deposition modeling (FDM) ...
Model Explanation via Support Graphs
(Cambridge Univeristy Press, 2024-02)
[Absctract]: In this note, we introduce the notion of support graph to define explanations for any model of a logic program. An explanation is an acyclic support graph that, for each true atom in the model, induces a proof ...
aspBEEF: Explaining Predictions Through Optimal Clustering
(MDPI AG, 2020-08-28)
[Abstract]
In this paper we introduce aspBEEF, a tool for generating explanations for the outcome of an arbitrary machine learning classifier. This is done using Grover’s et al. framework known as Balanced English ...
A System for Explainable Answer Set Programming
(Open Publishing Association, 2020-09-19)
[Abstract]
We present xclingo, a tool for generating explanations from ASP programs annotated with text and labels. These annotations allow tracing the application of rules or the atoms derived by them. The input of ...
Machine learning predicts 3D printing performance of over 900 drug delivery systems
(Elsevier B.V., 2021-09)
[Abstract]: Three-dimensional printing (3DP) is a transformative technology that is advancing pharmaceutical research by producing personalized drug products. However, advances made via 3DP have been slow due to the lengthy ...
Accelerating 3D printing of pharmaceutical products using machine learning
(Elsevier, 2022)
[Abstract] Three-dimensional printing (3DP) has seen growing interest within the healthcare industry for its ability to fabricate personalized medicines and medical devices. However, it may be burdened by the lengthy ...
Predicting pharmaceutical inkjet printing outcomes using machine learning
(Elsevier B.V., 2023)
[Abstract]: Inkjet printing has been extensively explored in recent years to produce personalised medicines due to its low cost and versatility. Pharmaceutical applications have ranged from orodispersible films to complex ...
