CRISPINO, ELENA
CRISPINO, ELENA
SCIENZE DEL FARMACO E DELLA SALUTE (DSFS) (Department of Drug and Health Sciences)
Advancing PFAS risk assessment: Integrative approaches using agent-based modelling and physiologically-based kinetic for environmental and health safety
2024-01-01 Iulini, M.; Russo, G.; Crispino, E.; Paini, A.; Fragki, S.; Corsini, E.; Pappalardo, F.
Beyond the state of the art of reverse vaccinology: predicting vaccine efficacy with the universal immune system simulator for influenza
2023-01-01 Russo, G.; Crispino, E.; Maleki, A.; Di Salvatore, V.; Stanco, F.; Pappalardo, F.
Boosting multiple sclerosis lesion segmentation through attention mechanism
2023-01-01 Rondinella, A.; Crispino, E.; Guarnera, F.; Giudice, O.; Ortis, A.; Russo, G.; Di Lorenzo, C.; Maimone, D.; Pappalardo, F.; Battiato, S.
Computational identification of differentially-expressed genes as suggested novel COVID-19 biomarkers: A bioinformatics analysis of expression profiles
2023-01-01 Di Salvatore, V.; Crispino, E.; Maleki, A.; Nicotra, G.; Russo, G.; Pappalardo, F.
Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers
2022-01-01 Russo, Giulia; Crispino, Elena; Corsini, Emanuela; Iulini, Martina; Paini, Alicia; Worth, Andrew; Pappalardo, Francesco
Cutaneous Leishmaniasis: discovering new effective therapies using the Universal Immune System Simulator
2022-01-01 Nair, N. C.; Crispino, E.; Maleki, A.; Di Salvatore, V.; Russo, G.; Gomez, M. A.; Pappalardo, F.
Enhancing Multiple Sclerosis Lesion Segmentation in Multimodal MRI Scans with Diffusion Models
file da validare2023-01-01 Rondinella, A.; Guarnera, F.; Giudice, O.; Ortis, A.; Russo, G.; Crispino, E.; Pappalardo, F.; Battiato, S.
Genetic algorithm application for the prediction of potential SARS-CoV-2 new variant of concern
file da validare2022-01-01 Maleki, A.; Ras-Carmona, A.; Di Salvatore, V.; Russo, G.; Crispino, E.; Pappalardo, F.
Genetic Algorithm-Based Prediction of Emerging SARS-CoV-2 Variants: A Computational Biology Perspective
file da validare2023-01-01 Maleki, A.; Ras-Carmona, A.; Crispino, E.; Di Salvatore, V.; Russo, G.; Reche, P. A.; Pappalardo, F.
ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation—Methods and Results
file da validare2025-01-01 Rondinella, Alessia; Guarnera, Francesco; Crispino, Elena; Russo, Giulia; Di Lorenzo, Clara; Maimone, Davide; Pappalardo, Francesco; Battiato, Sebastiano
Modeling Cutaneous Leishmaniasis: Insights into M1/M2 Macrophage Dynamics Using the Universal Immune System Simulator
file da validare2023-01-01 Crispino, E.; Russo, G.; Gomez, M. A.; Pappalardo, F.; Maleki, A.; Di Salvatore, V.
Moving forward through the in silico modeling of multiple sclerosis: Treatment layer implementation and validation
2023-01-01 Maleki, A.; Crispino, E.; Italia, S. A.; Di Salvatore, V.; Chiacchio, M. A.; Sips, F.; Bursi, R.; Russo, G.; Maimone, D.; Pappalardo, F.
Pioneering bioinformatics with agent-based modelling: an innovative protocol to accurately forecast skin or respiratory allergic reactions to chemical sensitizers
2024-01-01 Russo, Giulia; Crispino, Elena; Casati, Silvia; Corsini, Emanuela; Worth, Andrew; Pappalardo, Francesco
Predictive Modelling of Allergic Responses to Chemical Sensitizers: Distinguishing Skin and Respiratory Reactions
file da validare2023-01-01 Crispino, E.; Corsini, E.; Russo, G.; Worth, A.; Casati, S.; Pappalardo, F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Advancing PFAS risk assessment: Integrative approaches using agent-based modelling and physiologically-based kinetic for environmental and health safety | 1-gen-2024 | Iulini, M.; Russo, G.; Crispino, E.; Paini, A.; Fragki, S.; Corsini, E.; Pappalardo, F. | |
| Beyond the state of the art of reverse vaccinology: predicting vaccine efficacy with the universal immune system simulator for influenza | 1-gen-2023 | Russo, G.; Crispino, E.; Maleki, A.; Di Salvatore, V.; Stanco, F.; Pappalardo, F. | |
| Boosting multiple sclerosis lesion segmentation through attention mechanism | 1-gen-2023 | Rondinella, A.; Crispino, E.; Guarnera, F.; Giudice, O.; Ortis, A.; Russo, G.; Di Lorenzo, C.; Maimone, D.; Pappalardo, F.; Battiato, S. | |
| Computational identification of differentially-expressed genes as suggested novel COVID-19 biomarkers: A bioinformatics analysis of expression profiles | 1-gen-2023 | Di Salvatore, V.; Crispino, E.; Maleki, A.; Nicotra, G.; Russo, G.; Pappalardo, F. | |
| Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers | 1-gen-2022 | Russo, Giulia; Crispino, Elena; Corsini, Emanuela; Iulini, Martina; Paini, Alicia; Worth, Andrew; Pappalardo, Francesco | |
| Cutaneous Leishmaniasis: discovering new effective therapies using the Universal Immune System Simulator | 1-gen-2022 | Nair, N. C.; Crispino, E.; Maleki, A.; Di Salvatore, V.; Russo, G.; Gomez, M. A.; Pappalardo, F. | |
| Enhancing Multiple Sclerosis Lesion Segmentation in Multimodal MRI Scans with Diffusion Models | 1-gen-2023 | Rondinella, A.; Guarnera, F.; Giudice, O.; Ortis, A.; Russo, G.; Crispino, E.; Pappalardo, F.; Battiato, S. | file da validare |
| Genetic algorithm application for the prediction of potential SARS-CoV-2 new variant of concern | 1-gen-2022 | Maleki, A.; Ras-Carmona, A.; Di Salvatore, V.; Russo, G.; Crispino, E.; Pappalardo, F. | file da validare |
| Genetic Algorithm-Based Prediction of Emerging SARS-CoV-2 Variants: A Computational Biology Perspective | 1-gen-2023 | Maleki, A.; Ras-Carmona, A.; Crispino, E.; Di Salvatore, V.; Russo, G.; Reche, P. A.; Pappalardo, F. | file da validare |
| ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation—Methods and Results | 1-gen-2025 | Rondinella, Alessia; Guarnera, Francesco; Crispino, Elena; Russo, Giulia; Di Lorenzo, Clara; Maimone, Davide; Pappalardo, Francesco; Battiato, Sebastiano | file da validare |
| Modeling Cutaneous Leishmaniasis: Insights into M1/M2 Macrophage Dynamics Using the Universal Immune System Simulator | 1-gen-2023 | Crispino, E.; Russo, G.; Gomez, M. A.; Pappalardo, F.; Maleki, A.; Di Salvatore, V. | file da validare |
| Moving forward through the in silico modeling of multiple sclerosis: Treatment layer implementation and validation | 1-gen-2023 | Maleki, A.; Crispino, E.; Italia, S. A.; Di Salvatore, V.; Chiacchio, M. A.; Sips, F.; Bursi, R.; Russo, G.; Maimone, D.; Pappalardo, F. | |
| Pioneering bioinformatics with agent-based modelling: an innovative protocol to accurately forecast skin or respiratory allergic reactions to chemical sensitizers | 1-gen-2024 | Russo, Giulia; Crispino, Elena; Casati, Silvia; Corsini, Emanuela; Worth, Andrew; Pappalardo, Francesco | |
| Predictive Modelling of Allergic Responses to Chemical Sensitizers: Distinguishing Skin and Respiratory Reactions | 1-gen-2023 | Crispino, E.; Corsini, E.; Russo, G.; Worth, A.; Casati, S.; Pappalardo, F. | file da validare |