| Nome |
# |
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Translatability and transferability of in silico models: Context of use switching to predict the effects of environmental chemicals on the immune system, file b9b97acc-6778-40b2-bc7b-99c9e9809263
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983
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Novel computational strategies for the identification of new therapeutic targets in melanoma and thyroid cancer., file 74f3f02c-45db-4d45-987d-cf6235b05602
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430
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EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation, file dfe4d229-97d0-bb0a-e053-d805fe0a78d9
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41
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The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis, file dfe4d22a-6a64-bb0a-e053-d805fe0a78d9
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36
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Evaluation of the efficacy of RUTI and ID93/GLA-SE vaccines in tuberculosis treatment: in silico trial through UISS-TB simulator, file dfe4d22c-0d35-bb0a-e053-d805fe0a78d9
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35
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Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility, file e72a67d2-7b54-437b-86f5-c1e9226f584a
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29
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Generation of digital patients for the simulation of tuberculosis with UISS-TB, file dfe4d22c-0b95-bb0a-e053-d805fe0a78d9
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21
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Boosting multiple sclerosis lesion segmentation through attention mechanism, file 23d5667a-d4e2-4f62-981a-aac5070e6053
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18
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Combining Parallel Genetic Algorithms and Machine Learning to Improve the Research of Optimal Vaccination Protocols, file dfe4d22c-0351-bb0a-e053-d805fe0a78d9
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17
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Agent based modeling of the immune system: NetLogo, a promising framework, file dfe4d227-b0f7-bb0a-e053-d805fe0a78d9
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15
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A computational model to predict the best orange-derived adjuvants in vaccination strategies against Human Papillomavirus, file dfe4d228-8465-bb0a-e053-d805fe0a78d9
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15
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Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration, file dfe4d22c-09ce-bb0a-e053-d805fe0a78d9
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15
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A Credibility Assessment Plan for an In Silico Model that Predicts the Dose-Response Relationship of New Tuberculosis Treatments, file 3531e8b1-9b6b-4118-aef7-188876b4271f
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14
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Introducing scale factor adjustments on agent-based simulations of the immune system, file dfe4d22c-78f6-bb0a-e053-d805fe0a78d9
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13
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Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB, file dfe4d22d-a15a-bb0a-e053-d805fe0a78d9
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13
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A computational model to predict the immune system activation by citrus derived vaccine adjuvants, file dfe4d22d-c877-bb0a-e053-d805fe0a78d9
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13
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Immune-checkpoint inhibitors from cancer to COVID‑19: A promising avenue for the treatment of patients with COVID‑19 (Review), file dfe4d22e-289a-bb0a-e053-d805fe0a78d9
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13
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Computational modeling of PI3K/AKT and MAPK signaling pathways in melanoma cancer, file dfe4d227-7fdf-bb0a-e053-d805fe0a78d9
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12
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Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS), file dfe4d22b-2172-bb0a-e053-d805fe0a78d9
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12
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Toward computational modelling on immune system function, file dfe4d22b-2e96-bb0a-e053-d805fe0a78d9
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11
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Toward a Regulatory Pathway for the Use of in Silico Trials in The Ce Marking of Medical Devices, file 838d1c2f-ae7b-420f-bd5d-a561d2c3306c
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10
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Evaluation of word embedding models to extract and predict surgical data in breast cancer, file 7fa312ce-cbb1-4b23-9697-b457fe8f8dbc
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9
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Gene Silencing of Transferrin-1 Receptor as a Potential Therapeutic Target for Human Follicular and Anaplastic Thyroid Cancer, file dfe4d22a-47f3-bb0a-e053-d805fe0a78d9
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8
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In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform, file dfe4d22d-733d-bb0a-e053-d805fe0a78d9
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7
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Beyond the state of the art of reverse vaccinology: predicting vaccine efficacy with the universal immune system simulator for influenza, file 3c91420a-7a5d-4f77-bb89-0d93544f6419
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6
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Model verification tools: a computational framework for verification assessment of mechanistic agent-based models, file 8eaa1c33-e778-478c-8c97-fd9401226f36
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6
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In silico design of recombinant multi-epitope vaccine against influenza A virus, file a2676c59-5fcf-4fd0-814f-03a1bd853437
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6
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Text mining and word embedding for classification of decision making variables in breast cancer surgery, file afa81fb5-cdf4-4a7d-a042-e6fb9f249d6a
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6
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Computational modelling approaches to vaccinology, file dfe4d227-b185-bb0a-e053-d805fe0a78d9
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6
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Moving forward through the in silico modeling of multiple sclerosis: Treatment layer implementation and validation, file 20c4f833-5de4-4f5d-94c7-cfb30265a102
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5
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Possible Contexts of Use for In Silico trials methodologies: a consensus- based review, file cf9f1b54-d993-4066-bb15-78ff81fb70ec
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5
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In silico clinical trials: concepts and early adoptions, file dfe4d22c-0a19-bb0a-e053-d805fe0a78d9
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5
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Gene expression and pathway bioinformatics analysis detect a potential predictive value of MAP3K8 in thyroid cancer progression, file dfe4d22c-d5dd-bb0a-e053-d805fe0a78d9
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5
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Toward computational modelling on immune system function, file dfe4d22d-733c-bb0a-e053-d805fe0a78d9
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5
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Generation of digital patients for the simulation of tuberculosis with UISS-TB, file dfe4d22d-733f-bb0a-e053-d805fe0a78d9
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5
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Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers, file e315e872-5fa4-4dc8-9f83-a4faa7bb7aae
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5
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Verification of an agent-based disease model of human Mycobacterium tuberculosis infection, file c0e4a688-64f2-4a06-8cee-a97c7a51d2a7
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4
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R- ed S-LP2: sintesi, molecular docking e valutazione farmacologica, file dfe4d228-b3d2-bb0a-e053-d805fe0a78d9
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4
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Credibility of In Silico Trial Technologies - A Theoretical Framing, file dfe4d22b-2e97-bb0a-e053-d805fe0a78d9
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4
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A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates, file dfe4d22c-0822-bb0a-e053-d805fe0a78d9
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4
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In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim, file fab61500-b45e-4b30-8407-fa569fdfe9e8
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4
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((2S)-N-2-methoxy-2-phenylethyl-6,7-benzomorphan compound (2S-LP2): Discovery of a biased mu/delta opioid receptor agonist, file dfe4d22b-3e09-bb0a-e053-d805fe0a78d9
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3
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Computational immunogenetics, file dfe4d22c-911c-bb0a-e053-d805fe0a78d9
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3
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Using Continuous Petri Nets to predict the impact of microRNA analysis in PI3K/Akt and MAPK Signaling Pathways, file dfe4d22d-9296-bb0a-e053-d805fe0a78d9
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3
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Agent based modeling of relapsing multiple sclerosis: A possible approach to predict treatment outcome, file dfe4d22c-4821-bb0a-e053-d805fe0a78d9
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2
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Optimization and analisys of vaccination schedules using simulated annealing and agent based models, file dfe4d22c-7904-bb0a-e053-d805fe0a78d9
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2
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A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets, file dfe4d22d-1680-bb0a-e053-d805fe0a78d9
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2
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ODEs approaches in modeling fibrosis. Comment on "Towards a unified approach in the modeling of fibrosis: A review with research
perspectives" by Martine Ben Amar and Carlo Bianca, file dfe4d227-1d6b-bb0a-e053-d805fe0a78d9
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1
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Agent based modeling of the effects of potential treatments over the blood-brain barrier in multiple sclerosis, file dfe4d227-c411-bb0a-e053-d805fe0a78d9
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1
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Agent based modeling of the effects of potential treatments over the blood-brain barrier in multiple sclerosis, file dfe4d227-c412-bb0a-e053-d805fe0a78d9
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1
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Computational modelling in melanoma for novel drug discovery, file dfe4d22a-7a42-bb0a-e053-d805fe0a78d9
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1
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Computational modeling reveals MAP3K8 as mediator of resistance to vemurafenib in thyroid cancer stem cells, file dfe4d22b-aaf8-bb0a-e053-d805fe0a78d9
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1
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An agent based modeling approach for the analysis of tuberculosis - Immune system dynamics, file dfe4d22c-033a-bb0a-e053-d805fe0a78d9
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1
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Design and optimization of PEGylated nanoparticles intended for Berberine Chloride delivery, file dfe4d22c-132e-bb0a-e053-d805fe0a78d9
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1
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GPU accelerated analysis of treg-teff cross regulation in relapsing-remitting multiple sclerosis, file dfe4d22c-6344-bb0a-e053-d805fe0a78d9
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1
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2DIs: a SBML compliant web platform for the design and modeling of immune system interactions, file dfe4d22c-6347-bb0a-e053-d805fe0a78d9
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1
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The combination of artificial intelligence and systems biology for intelligent vaccine design, file dfe4d22d-929b-bb0a-e053-d805fe0a78d9
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1
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Computational modeling of the expansion of human cord blood CD133+ hematopoietic stem/progenitor cells with different cytokine combinations, file dfe4d22d-929c-bb0a-e053-d805fe0a78d9
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1
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| Totale |
1.901 |