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Showing 1 to 12 of 38 entries
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Thrombocytopenia in Japanese Akita dogs.

Veterinary clinical pathology

Caldin M, Zoia A, Tasca S, Furlanello T.
PMID: 27300490
Vet Clin Pathol. 2016 Sep;45(3):397. doi: 10.1111/vcp.12370. Epub 2016 Jun 14.

No abstract available.

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Caldin M, Zoia A, Tasca S, et al. Thrombocytopenia in Japanese Akita dogs. Vet Clin Pathol. 2016;45(3):397doi: 10.1111/vcp.12370.
Caldin, M., Zoia, A., Tasca, S., & Furlanello, T. (2016). Thrombocytopenia in Japanese Akita dogs. Veterinary clinical pathology, 45(3), 397. https://doi.org/10.1111/vcp.12370
Caldin, Marco, et al. "Thrombocytopenia in Japanese Akita dogs." Veterinary clinical pathology vol. 45,3 (2016): 397. doi: https://doi.org/10.1111/vcp.12370
Caldin M, Zoia A, Tasca S, Furlanello T. Thrombocytopenia in Japanese Akita dogs. Vet Clin Pathol. 2016 Sep;45(3):397. doi: 10.1111/vcp.12370. Epub 2016 Jun 14. PMID: 27300490.
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Molecular characterization and drug susceptibility profile of a .

Journal of medical microbiology

Armas F, Furlanello T, Camperio C, Trotta M, Novari G, Marianelli C.
PMID: 26758809
J Med Microbiol. 2016 Apr;65(4):278-285. doi: 10.1099/jmm.0.000221. Epub 2016 Jan 12.

No abstract available.

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Armas F, Furlanello T, Camperio C, et al. Molecular characterization and drug susceptibility profile of a . J Med Microbiol. 2016;65(4):278-285doi: 10.1099/jmm.0.000221.
Armas, F., Furlanello, T., Camperio, C., Trotta, M., Novari, G., & Marianelli, C. (2016). Molecular characterization and drug susceptibility profile of a . Journal of medical microbiology, 65(4), 278-285. https://doi.org/10.1099/jmm.0.000221
Armas, Federica, et al. "Molecular characterization and drug susceptibility profile of a ." Journal of medical microbiology vol. 65,4 (2016): 278-285. doi: https://doi.org/10.1099/jmm.0.000221
Armas F, Furlanello T, Camperio C, Trotta M, Novari G, Marianelli C. Molecular characterization and drug susceptibility profile of a . J Med Microbiol. 2016 Apr;65(4):278-285. doi: 10.1099/jmm.0.000221. Epub 2016 Jan 12. PMID: 26758809.
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An accelerated procedure for recursive feature ranking on microarray data.

Neural networks : the official journal of the International Neural Network Society

Furlanello C, Serafini M, Merler S, Jurman G.
PMID: 12850018
Neural Netw. 2003 Jun-Jul;16(5):641-8. doi: 10.1016/S0893-6080(03)00103-5.

We describe a new wrapper algorithm for fast feature ranking in classification problems. The Entropy-based Recursive Feature Elimination (E-RFE) method eliminates chunks of uninteresting features according to the entropy of the weights distribution of a SVM classifier. With specific...

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Furlanello C, Serafini M, Merler S, et al. An accelerated procedure for recursive feature ranking on microarray data. Neural Netw. 2003;16(5):641-8doi: 10.1016/S0893-6080(03)00103-5.
Furlanello, C., Serafini, M., Merler, S., & Jurman, G. (2003). An accelerated procedure for recursive feature ranking on microarray data. Neural networks : the official journal of the International Neural Network Society, 16(5), 641-8. https://doi.org/10.1016/S0893-6080(03)00103-5
Furlanello, C, et al. "An accelerated procedure for recursive feature ranking on microarray data." Neural networks : the official journal of the International Neural Network Society vol. 16,5 (2003): 641-8. doi: https://doi.org/10.1016/S0893-6080(03)00103-5
Furlanello C, Serafini M, Merler S, Jurman G. An accelerated procedure for recursive feature ranking on microarray data. Neural Netw. 2003 Jun-Jul;16(5):641-8. doi: 10.1016/S0893-6080(03)00103-5. PMID: 12850018.
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Validation of an immunoturbidimetric D-dimer assay in canine citrated plasma.

Veterinary clinical pathology

Caldin M, Furlanello T, Lubas G.
PMID: 12070811
Vet Clin Pathol. 2000;29(2):51-54. doi: 10.1111/j.1939-165x.2000.tb00398.x.

D-dimer is a neoantigen formed when thrombin initiates the transformation of fibrinogen to fibrin; it is derived from plasmin digestion of cross-linked fibrin. In human medicine, the usefulness of this analyte in diagnosing disseminated intravascular coagulation (DIC) has been...

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Caldin M, Furlanello T, Lubas G. Validation of an immunoturbidimetric D-dimer assay in canine citrated plasma. Vet Clin Pathol. 2000;29(2):51-54doi: 10.1111/j.1939-165x.2000.tb00398.x.
Caldin, M., Furlanello, T., & Lubas, G. (2000). Validation of an immunoturbidimetric D-dimer assay in canine citrated plasma. Veterinary clinical pathology, 29(2), 51-54. https://doi.org/10.1111/j.1939-165x.2000.tb00398.x
Caldin, Marco, et al. "Validation of an immunoturbidimetric D-dimer assay in canine citrated plasma." Veterinary clinical pathology vol. 29,2 (2000): 51-54. doi: https://doi.org/10.1111/j.1939-165x.2000.tb00398.x
Caldin M, Furlanello T, Lubas G. Validation of an immunoturbidimetric D-dimer assay in canine citrated plasma. Vet Clin Pathol. 2000;29(2):51-54. doi: 10.1111/j.1939-165x.2000.tb00398.x. PMID: 12070811.
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Leptospirosis and immune-mediated hemolytic anemia: A lethal association.

Veterinary research forum : an international quarterly journal

Furlanello T, Reale I.
PMID: 31737237
Vet Res Forum. 2019;10(3):261-265. doi: 10.30466/vrf.2019.99876.2385. Epub 2019 Sep 15.

Immune-mediated hemolytic anemia (IMHA) is a common cause of anemia in dogs. The immune aggression towards erythrocytes can be triggered by many pathological conditions such as infection, inflammatory disease or neoplasia. Upon ruling out any eliciting conditions, a diagnosis...

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Furlanello T, Reale I. Leptospirosis and immune-mediated hemolytic anemia: A lethal association. Vet Res Forum. 2019;10(3):261-265doi: 10.30466/vrf.2019.99876.2385.
Furlanello, T., & Reale, I. (2019). Leptospirosis and immune-mediated hemolytic anemia: A lethal association. Veterinary research forum : an international quarterly journal, 10(3), 261-265. https://doi.org/10.30466/vrf.2019.99876.2385
Furlanello, Tommaso, and Reale, Ida. "Leptospirosis and immune-mediated hemolytic anemia: A lethal association." Veterinary research forum : an international quarterly journal vol. 10,3 (2019): 261-265. doi: https://doi.org/10.30466/vrf.2019.99876.2385
Furlanello T, Reale I. Leptospirosis and immune-mediated hemolytic anemia: A lethal association. Vet Res Forum. 2019;10(3):261-265. doi: 10.30466/vrf.2019.99876.2385. Epub 2019 Sep 15. PMID: 31737237; PMCID: PMC6828171.
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A metaproteomic-based gut microbiota profiling in children affected by autism spectrum disorders.

Journal of proteomics

Levi Mortera S, Vernocchi P, Basadonne I, Zandonà A, Chierici M, Durighello M, Marzano V, Gardini S, Gasbarrini A, Urbani A, Vicari S, Roncada P, Furlanello C, Venuti P, Putignani L.
PMID: 34763095
J Proteomics. 2022 Jan 16;251:104407. doi: 10.1016/j.jprot.2021.104407. Epub 2021 Nov 08.

During the last decade, the evidences on the relationship between neurodevelopmental disorders and the microbial communities of the intestinal tract have considerably grown. Particularly, the role of gut microbiota (GM) ecology and predicted functions in Autism Spectrum Disorders (ASD)...

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Levi Mortera S, Vernocchi P, Basadonne I, et al. A metaproteomic-based gut microbiota profiling in children affected by autism spectrum disorders. J Proteomics. 2021;251:104407doi: 10.1016/j.jprot.2021.104407.
Levi Mortera, S., Vernocchi, P., Basadonne, I., Zandonà, A., Chierici, M., Durighello, M., Marzano, V., Gardini, S., Gasbarrini, A., Urbani, A., Vicari, S., Roncada, P., Furlanello, C., Venuti, P., & Putignani, L. (2022). A metaproteomic-based gut microbiota profiling in children affected by autism spectrum disorders. Journal of proteomics, 251104407. https://doi.org/10.1016/j.jprot.2021.104407
Levi Mortera, Stefano, et al. "A metaproteomic-based gut microbiota profiling in children affected by autism spectrum disorders." Journal of proteomics vol. 251 (2022): 104407. doi: https://doi.org/10.1016/j.jprot.2021.104407
Levi Mortera S, Vernocchi P, Basadonne I, Zandonà A, Chierici M, Durighello M, Marzano V, Gardini S, Gasbarrini A, Urbani A, Vicari S, Roncada P, Furlanello C, Venuti P, Putignani L. A metaproteomic-based gut microbiota profiling in children affected by autism spectrum disorders. J Proteomics. 2022 Jan 16;251:104407. doi: 10.1016/j.jprot.2021.104407. Epub 2021 Nov 08. PMID: 34763095.
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Quantifying the Child-Therapist Interaction in ASD Intervention: An Observational Coding System.

Brain sciences

Bertamini G, Bentenuto A, Perzolli S, Paolizzi E, Furlanello C, Venuti P.
PMID: 33805630
Brain Sci. 2021 Mar 13;11(3). doi: 10.3390/brainsci11030366.

RESULTS: Significant changes in interaction variables emerged with time, suggesting that a favorable outcome is associated with interactions characterized by increased synchrony, better therapist's strategies to successfully engage the child and scaffold longer, more complex and engaging interchanges. Interestingly,...

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Bertamini G, Bentenuto A, Perzolli S, et al. Quantifying the Child-Therapist Interaction in ASD Intervention: An Observational Coding System. Brain Sci. 2021;11(3)doi: 10.3390/brainsci11030366.
Bertamini, G., Bentenuto, A., Perzolli, S., Paolizzi, E., Furlanello, C., & Venuti, P. (2021). Quantifying the Child-Therapist Interaction in ASD Intervention: An Observational Coding System. Brain sciences, 11(3), . https://doi.org/10.3390/brainsci11030366
Bertamini, Giulio, et al. "Quantifying the Child-Therapist Interaction in ASD Intervention: An Observational Coding System." Brain sciences vol. 11,3 (2021). doi: https://doi.org/10.3390/brainsci11030366
Bertamini G, Bentenuto A, Perzolli S, Paolizzi E, Furlanello C, Venuti P. Quantifying the Child-Therapist Interaction in ASD Intervention: An Observational Coding System. Brain Sci. 2021 Mar 13;11(3). doi: 10.3390/brainsci11030366. PMID: 33805630; PMCID: PMC7998397.
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A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning.

Cancers

Polano M, Chierici M, Dal Bo M, Gentilini D, Di Cintio F, Baboci L, Gibbs DL, Furlanello C, Toffoli G.
PMID: 31618839
Cancers (Basel). 2019 Oct 15;11(10). doi: 10.3390/cancers11101562.

Immunotherapy by using immune checkpoint inhibitors (ICI) has dramatically improved the treatment options in various cancers, increasing survival rates for treated patients. Nevertheless, there are heterogeneous response rates to ICI among different cancer types, and even in the context...

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Polano M, Chierici M, Dal Bo M, et al. A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning. Cancers (Basel). 2019;11(10)doi: 10.3390/cancers11101562.
Polano, M., Chierici, M., Dal Bo, M., Gentilini, D., Di Cintio, F., Baboci, L., Gibbs, D. L., Furlanello, C., & Toffoli, G. (2019). A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning. Cancers, 11(10), . https://doi.org/10.3390/cancers11101562
Polano, Maurizio, et al. "A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning." Cancers vol. 11,10 (2019). doi: https://doi.org/10.3390/cancers11101562
Polano M, Chierici M, Dal Bo M, Gentilini D, Di Cintio F, Baboci L, Gibbs DL, Furlanello C, Toffoli G. A Pan-Cancer Approach to Predict Responsiveness to Immune Checkpoint Inhibitors by Machine Learning. Cancers (Basel). 2019 Oct 15;11(10). doi: 10.3390/cancers11101562. PMID: 31618839; PMCID: PMC6827166.
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First description of reactive arthritis secondary to leptospirosis in a dog.

Iranian journal of veterinary research

Furlanello T, Reale I.
PMID: 32849896
Iran J Vet Res. 2020;21(2):146-149.

BACKGROUND: Leptospirosis is a zoonotic bacterial infection that is common worldwide, with a wide spectrum of clinical signs. It commonly infects the kidneys and the liver but can damage a number of organ systems.CASE DESCRIPTION: An 18-month-old boxer dog...

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Furlanello T, Reale I. First description of reactive arthritis secondary to leptospirosis in a dog. Iran J Vet Res. 2020;21(2):146-149
Furlanello, T., & Reale, I. (2020). First description of reactive arthritis secondary to leptospirosis in a dog. Iranian journal of veterinary research, 21(2), 146-149.
Furlanello, T, and Reale, I. "First description of reactive arthritis secondary to leptospirosis in a dog." Iranian journal of veterinary research vol. 21,2 (2020): 146-149.
Furlanello T, Reale I. First description of reactive arthritis secondary to leptospirosis in a dog. Iran J Vet Res. 2020;21(2):146-149. PMID: 32849896; PMCID: PMC7430365.
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Detection of New .

Pathogens (Basel, Switzerland)

Bertasio C, Boniotti MB, Lucchese L, Ceglie L, Bellinati L, Mazzucato M, Furlanello T, D'Incau M, Natale A.
PMID: 32570803
Pathogens. 2020 Jun 18;9(6). doi: 10.3390/pathogens9060484.

Leptospirosis in dogs has been largely described worldwide, and epidemiological studies have been mainly based on serological data. This study aims to detect and genotype leptospires affecting symptomatic dogs in Northeast Italy between 2013 and 2019. Overall, 1631 dogs...

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Bertasio C, Boniotti MB, Lucchese L, et al. Detection of New . Pathogens. 2020;9(6)doi: 10.3390/pathogens9060484.
Bertasio, C., Boniotti, M. B., Lucchese, L., Ceglie, L., Bellinati, L., Mazzucato, M., Furlanello, T., D'Incau, M., & Natale, A. (2020). Detection of New . Pathogens (Basel, Switzerland), 9(6), . https://doi.org/10.3390/pathogens9060484
Bertasio, Cristina, et al. "Detection of New ." Pathogens (Basel, Switzerland) vol. 9,6 (2020). doi: https://doi.org/10.3390/pathogens9060484
Bertasio C, Boniotti MB, Lucchese L, Ceglie L, Bellinati L, Mazzucato M, Furlanello T, D'Incau M, Natale A. Detection of New . Pathogens. 2020 Jun 18;9(6). doi: 10.3390/pathogens9060484. PMID: 32570803; PMCID: PMC7350335.
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EYE-C: Eye-Contact Robust Detection and Analysis during Unconstrained Child-Therapist Interactions in the Clinical Setting of Autism Spectrum Disorders.

Brain sciences

Alvari G, Coviello L, Furlanello C.
PMID: 34942856
Brain Sci. 2021 Nov 24;11(12). doi: 10.3390/brainsci11121555.

The high level of heterogeneity in Autism Spectrum Disorder (ASD) and the lack of systematic measurements complicate predicting outcomes of early intervention and the identification of better-tailored treatment programs. Computational phenotyping may assist therapists in monitoring child behavior through...

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Alvari G, Coviello L, Furlanello C. EYE-C: Eye-Contact Robust Detection and Analysis during Unconstrained Child-Therapist Interactions in the Clinical Setting of Autism Spectrum Disorders. Brain Sci. 2021;11(12)doi: 10.3390/brainsci11121555.
Alvari, G., Coviello, L., & Furlanello, C. (2021). EYE-C: Eye-Contact Robust Detection and Analysis during Unconstrained Child-Therapist Interactions in the Clinical Setting of Autism Spectrum Disorders. Brain sciences, 11(12), . https://doi.org/10.3390/brainsci11121555
Alvari, Gianpaolo, et al. "EYE-C: Eye-Contact Robust Detection and Analysis during Unconstrained Child-Therapist Interactions in the Clinical Setting of Autism Spectrum Disorders." Brain sciences vol. 11,12 (2021). doi: https://doi.org/10.3390/brainsci11121555
Alvari G, Coviello L, Furlanello C. EYE-C: Eye-Contact Robust Detection and Analysis during Unconstrained Child-Therapist Interactions in the Clinical Setting of Autism Spectrum Disorders. Brain Sci. 2021 Nov 24;11(12). doi: 10.3390/brainsci11121555. PMID: 34942856.
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Reporting guidelines for human microbiome research: the STORMS checklist.

Nature medicine

Mirzayi C, Renson A, Zohra F, Elsafoury S, Geistlinger L, Kasselman LJ, Eckenrode K, van de Wijgert J, Loughman A, Marques FZ, MacIntyre DA, Arumugam M, Azhar R, Beghini F, Bergstrom K, Bhatt A, Bisanz JE, Braun J, Bravo HC, Buck GA, Bushman F, Casero D, Clarke G, Collado MC, Cotter PD, Cryan JF, Demmer RT, Devkota S, Elinav E, Escobar JS, Fettweis J, Finn RD, Fodor AA, Forslund S, Franke A, Furlanello C, Gilbert J, Grice E, Haibe-Kains B, Handley S, Herd P, Holmes S, Jacobs JP, Karstens L, Knight R, Knights D, Koren O, Kwon DS, Langille M, Lindsay B, McGovern D, McHardy AC, McWeeney S, Mueller NT, Nezi L, Olm M, Palm N, Pasolli E, Raes J, Redinbo MR, Rühlemann M, Balfour Sartor R, Schloss PD, Schriml L, Segal E, Shardell M, Sharpton T, Smirnova E, Sokol H, Sonnenburg JL, Srinivasan S, Thingholm LB, Turnbaugh PJ, Upadhyay V, Walls RL, Wilmes P, Yamada T, Zeller G, Zhang M, Zhao N, Zhao L, Bao W, Culhane A, Devanarayan V, Dopazo J, Fan X, Fischer M, Jones W, Kusko R, Mason CE, Mercer TR, Sansone SA, Scherer A, Shi L, Thakkar S, Tong W, Wolfinger R, Hunter C, Segata N, Huttenhower C, Dowd JB, Jones HE, Waldron L.
PMID: 34789871
Nat Med. 2021 Nov;27(11):1885-1892. doi: 10.1038/s41591-021-01552-x. Epub 2021 Nov 17.

The particularly interdisciplinary nature of human microbiome research makes the organization and reporting of results spanning epidemiology, biology, bioinformatics, translational medicine and statistics a challenge. Commonly used reporting guidelines for observational or genetic epidemiology studies lack key features specific...

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Mirzayi C, Renson A. Reporting guidelines for human microbiome research: the STORMS checklist. Nat Med. 2021;27(11):1885-1892doi: 10.1038/s41591-021-01552-x.
Mirzayi, C., Renson, A., Zohra, F., Elsafoury, S., Geistlinger, L., Kasselman, L. J., Eckenrode, K., van de Wijgert, J., Loughman, A., Marques, F. Z., MacIntyre, D. A., Arumugam, M., Azhar, R., Beghini, F., Bergstrom, K., Bhatt, A., Bisanz, J. E., Braun, J., Bravo, H. C., Buck, G. A., Bushman, F., Casero, D., Clarke, G., Collado, M. C., Cotter, P. D., Cryan, J. F., Demmer, R. T., Devkota, S., Elinav, E., Escobar, J. S., Fettweis, J., Finn, R. D., Fodor, A. A., Forslund, S., Franke, A., Furlanello, C., Gilbert, J., Grice, E., Haibe-Kains, B., Handley, S., Herd, P., Holmes, S., Jacobs, J. P., Karstens, L., Knight, R., Knights, D., Koren, O., Kwon, D. S., Langille, M., Lindsay, B., McGovern, D., McHardy, A. C., McWeeney, S., Mueller, N. T., Nezi, L., Olm, M., Palm, N., Pasolli, E., Raes, J., Redinbo, M. R., Rühlemann, M., Balfour Sartor, R., Schloss, P. D., Schriml, L., Segal, E., Shardell, M., Sharpton, T., Smirnova, E., Sokol, H., Sonnenburg, J. L., Srinivasan, S., Thingholm, L. B., Turnbaugh, P. J., Upadhyay, V., Walls, R. L., Wilmes, P., Yamada, T., Zeller, G., Zhang, M., Zhao, N., Zhao, L., Bao, W., Culhane, A., Devanarayan, V., Dopazo, J., Fan, X., Fischer, M., Jones, W., Kusko, R., Mason, C. E., Mercer, T. R., Sansone, S. A., Scherer, A., Shi, L., Thakkar, S., Tong, W., Wolfinger, R., Hunter, C., Segata, N., Huttenhower, C., Dowd, J. B., Jones, H. E., & Waldron, L. (2021). Reporting guidelines for human microbiome research: the STORMS checklist. Nature medicine, 27(11), 1885-1892. https://doi.org/10.1038/s41591-021-01552-x
Mirzayi, Chloe, et al. "Reporting guidelines for human microbiome research: the STORMS checklist." Nature medicine vol. 27,11 (2021): 1885-1892. doi: https://doi.org/10.1038/s41591-021-01552-x
Mirzayi C, Renson A, Zohra F, Elsafoury S, Geistlinger L, Kasselman LJ, Eckenrode K, van de Wijgert J, Loughman A, Marques FZ, MacIntyre DA, Arumugam M, Azhar R, Beghini F, Bergstrom K, Bhatt A, Bisanz JE, Braun J, Bravo HC, Buck GA, Bushman F, Casero D, Clarke G, Collado MC, Cotter PD, Cryan JF, Demmer RT, Devkota S, Elinav E, Escobar JS, Fettweis J, Finn RD, Fodor AA, Forslund S, Franke A, Furlanello C, Gilbert J, Grice E, Haibe-Kains B, Handley S, Herd P, Holmes S, Jacobs JP, Karstens L, Knight R, Knights D, Koren O, Kwon DS, Langille M, Lindsay B, McGovern D, McHardy AC, McWeeney S, Mueller NT, Nezi L, Olm M, Palm N, Pasolli E, Raes J, Redinbo MR, Rühlemann M, Balfour Sartor R, Schloss PD, Schriml L, Segal E, Shardell M, Sharpton T, Smirnova E, Sokol H, Sonnenburg JL, Srinivasan S, Thingholm LB, Turnbaugh PJ, Upadhyay V, Walls RL, Wilmes P, Yamada T, Zeller G, Zhang M, Zhao N, Zhao L, Bao W, Culhane A, Devanarayan V, Dopazo J, Fan X, Fischer M, Jones W, Kusko R, Mason CE, Mercer TR, Sansone SA, Scherer A, Shi L, Thakkar S, Tong W, Wolfinger R, Hunter C, Segata N, Huttenhower C, Dowd JB, Jones HE, Waldron L. Reporting guidelines for human microbiome research: the STORMS checklist. Nat Med. 2021 Nov;27(11):1885-1892. doi: 10.1038/s41591-021-01552-x. Epub 2021 Nov 17. PMID: 34789871.
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Showing 1 to 12 of 38 entries