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Increasing isoniazid preventive therapy uptake in an HIV program in rural Papua New Guinea.

Public health action

Carmone A, Rodriguez CA, Frank TD, Kiromat M, Bongi PW, Kuno RG, Palou T, Franke MF.
PMID: 29201654
Public Health Action. 2017 Sep 21;7(3):193-198. doi: 10.5588/pha.17.0011.

No abstract available.

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Carmone A, Rodriguez CA, Frank TD, et al. Increasing isoniazid preventive therapy uptake in an HIV program in rural Papua New Guinea. Public Health Action. 2017;7(3):193-198doi: 10.5588/pha.17.0011.
Carmone, A., Rodriguez, C. A., Frank, T. D., Kiromat, M., Bongi, P. W., Kuno, R. G., Palou, T., & Franke, M. F. (2017). Increasing isoniazid preventive therapy uptake in an HIV program in rural Papua New Guinea. Public health action, 7(3), 193-198. https://doi.org/10.5588/pha.17.0011
Carmone, A, et al. "Increasing isoniazid preventive therapy uptake in an HIV program in rural Papua New Guinea." Public health action vol. 7,3 (2017): 193-198. doi: https://doi.org/10.5588/pha.17.0011
Carmone A, Rodriguez CA, Frank TD, Kiromat M, Bongi PW, Kuno RG, Palou T, Franke MF. Increasing isoniazid preventive therapy uptake in an HIV program in rural Papua New Guinea. Public Health Action. 2017 Sep 21;7(3):193-198. doi: 10.5588/pha.17.0011. PMID: 29201654; PMCID: PMC5676994.
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CIBERSAM: Ten years of collaborative translational research in mental disorders.

Revista de psiquiatria y salud mental

Salagre E, Arango C, Artigas F, Ayuso-Mateos JL, Bernardo M, Castro-Fornieles J, Bobes J, Desco M, Fañanás L, González-Pinto A, Haro JM, Leza JC, Mckenna PJ, Meana JJ, Menchón JM, Micó JA, Palomo T, Pazos Á, Pérez V, Saiz-Ruiz J, Sanjuán J, Tabarés-Seisdedos R, Crespo-Facorro B, Casas M, Vilella E, Palao D, Olivares JM, Rodriguez-Jimenez R, Vieta E.
PMID: 30416047
Rev Psiquiatr Salud Ment (Engl Ed). 2019 Jan - Mar;12(1):1-8. doi: 10.1016/j.rpsm.2018.10.001. Epub 2018 Nov 09.

No abstract available.

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Salagre E, Arango C, Artigas F, et al. Diez años de investigación traslacional colaborativa en enfermedades mentales: el CIBERSAM. CIBERSAM: Ten years of collaborative translational research in mental disorders. Rev Psiquiatr Salud Ment (Engl Ed). 2018;12(1):1-8doi: 10.1016/j.rpsm.2018.10.001.
Salagre, E., Arango, C., Artigas, F., Ayuso-Mateos, J. L., Bernardo, M., Castro-Fornieles, J., Bobes, J., Desco, M., Fañanás, L., González-Pinto, A., Haro, J. M., Leza, J. C., Mckenna, P. J., Meana, J. J., Menchón, J. M., Micó, J. A., Palomo, T., Pazos, �. �., Pérez, V., Saiz-Ruiz, J., Sanjuán, J., Tabarés-Seisdedos, R., Crespo-Facorro, B., Casas, M., Vilella, E., Palao, D., Olivares, J. M., Rodriguez-Jimenez, R., & Vieta, E. (2019). Diez años de investigación traslacional colaborativa en enfermedades mentales: el CIBERSAM. CIBERSAM: Ten years of collaborative translational research in mental disorders. Revista de psiquiatria y salud mental, 12(1), 1-8. https://doi.org/10.1016/j.rpsm.2018.10.001
Salagre, Estela, et al. "Diez años de investigación traslacional colaborativa en enfermedades mentales: el CIBERSAM." CIBERSAM: Ten years of collaborative translational research in mental disorders. Revista de psiquiatria y salud mental vol. 12,1 (2019): 1-8. doi: https://doi.org/10.1016/j.rpsm.2018.10.001
Salagre E, Arango C, Artigas F, Ayuso-Mateos JL, Bernardo M, Castro-Fornieles J, Bobes J, Desco M, Fañanás L, González-Pinto A, Haro JM, Leza JC, Mckenna PJ, Meana JJ, Menchón JM, Micó JA, Palomo T, Pazos Á, Pérez V, Saiz-Ruiz J, Sanjuán J, Tabarés-Seisdedos R, Crespo-Facorro B, Casas M, Vilella E, Palao D, Olivares JM, Rodriguez-Jimenez R, Vieta E. Diez años de investigación traslacional colaborativa en enfermedades mentales: el CIBERSAM. CIBERSAM: Ten years of collaborative translational research in mental disorders. Rev Psiquiatr Salud Ment (Engl Ed). 2019 Jan - Mar;12(1):1-8. doi: 10.1016/j.rpsm.2018.10.001. Epub 2018 Nov 09. Spanish. PMID: 30416047.
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Towards Equitable Access to Public Health Pathogen Genomics in the Western Pacific.

The Lancet regional health. Western Pacific

Lin C, da Silva E, Sahukhan A, Palou T, Buadromo E, Hoang T, Howden BP.
PMID: 34841379
Lancet Reg Health West Pac. 2021 Nov 24;100321. doi: 10.1016/j.lanwpc.2021.100321. Epub 2021 Nov 24.

The COVID-19 pandemic has increased interest and understanding of the utility of pathogen genomics across the Western Pacific region. Access to genomic data enhances surveillance and response to COVID-19, and will also support surveillance of other infectious diseases and...

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Lin C, da Silva E, Sahukhan A, et al. Towards Equitable Access to Public Health Pathogen Genomics in the Western Pacific. Lancet Reg Health West Pac. 2021;100321doi: 10.1016/j.lanwpc.2021.100321.
Lin, C., da Silva, E., Sahukhan, A., Palou, T., Buadromo, E., Hoang, T., & Howden, B. P. (2021). Towards Equitable Access to Public Health Pathogen Genomics in the Western Pacific. The Lancet regional health. Western Pacific, 100321. https://doi.org/10.1016/j.lanwpc.2021.100321
Lin, Chantel, et al. "Towards Equitable Access to Public Health Pathogen Genomics in the Western Pacific." The Lancet regional health. Western Pacific vol. (2021): 100321. doi: https://doi.org/10.1016/j.lanwpc.2021.100321
Lin C, da Silva E, Sahukhan A, Palou T, Buadromo E, Hoang T, Howden BP. Towards Equitable Access to Public Health Pathogen Genomics in the Western Pacific. Lancet Reg Health West Pac. 2021 Nov 24;100321. doi: 10.1016/j.lanwpc.2021.100321. Epub 2021 Nov 24. PMID: 34841379; PMCID: PMC8610764.
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Towards Equitable Access to Public Health Pathogen Genomics in the Western Pacific.

The Lancet regional health. Western Pacific

Lin C, da Silva E, Sahukhan A, Palou T, Buadromo E, Hoang T, Howden BP.
PMID: 34841379
Lancet Reg Health West Pac. 2021 Nov 24;100321. doi: 10.1016/j.lanwpc.2021.100321. Epub 2021 Nov 24.

The COVID-19 pandemic has increased interest and understanding of the utility of pathogen genomics across the Western Pacific region. Access to genomic data enhances surveillance and response to COVID-19, and will also support surveillance of other infectious diseases and...

Cite
Lin C, da Silva E, Sahukhan A, et al. Towards Equitable Access to Public Health Pathogen Genomics in the Western Pacific. Lancet Reg Health West Pac. 2021;100321doi: 10.1016/j.lanwpc.2021.100321.
Lin, C., da Silva, E., Sahukhan, A., Palou, T., Buadromo, E., Hoang, T., & Howden, B. P. (2021). Towards Equitable Access to Public Health Pathogen Genomics in the Western Pacific. The Lancet regional health. Western Pacific, 100321. https://doi.org/10.1016/j.lanwpc.2021.100321
Lin, Chantel, et al. "Towards Equitable Access to Public Health Pathogen Genomics in the Western Pacific." The Lancet regional health. Western Pacific vol. (2021): 100321. doi: https://doi.org/10.1016/j.lanwpc.2021.100321
Lin C, da Silva E, Sahukhan A, Palou T, Buadromo E, Hoang T, Howden BP. Towards Equitable Access to Public Health Pathogen Genomics in the Western Pacific. Lancet Reg Health West Pac. 2021 Nov 24;100321. doi: 10.1016/j.lanwpc.2021.100321. Epub 2021 Nov 24. PMID: 34841379; PMCID: PMC8610764.
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Activation and deactivation patterns in schizophrenia during performance of an fMRI adapted version of the stroop task.

Journal of psychiatric research

Salgado-Pineda P, Rodriguez-Jimenez R, Moreno-Ortega M, Dompablo M, Martínez de Aragón A, Salvador R, McKenna PJ, Pomarol-Clotet E, Palomo T.
PMID: 34583085
J Psychiatr Res. 2021 Dec;144:1-7. doi: 10.1016/j.jpsychires.2021.09.039. Epub 2021 Sep 23.

The Stroop task, which examines an aspect of executive function/cognitive control, the ability to inhibit prepotent responses, has been relatively little examined in schizophrenia, and the findings have been inconsistent. Whether performance of this task is associated with failure...

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Salgado-Pineda P, Rodriguez-Jimenez R, Moreno-Ortega M, et al. Activation and deactivation patterns in schizophrenia during performance of an fMRI adapted version of the stroop task. J Psychiatr Res. 2021;144:1-7doi: 10.1016/j.jpsychires.2021.09.039.
Salgado-Pineda, P., Rodriguez-Jimenez, R., Moreno-Ortega, M., Dompablo, M., Martínez de Aragón, A., Salvador, R., McKenna, P. J., Pomarol-Clotet, E., & Palomo, T. (2021). Activation and deactivation patterns in schizophrenia during performance of an fMRI adapted version of the stroop task. Journal of psychiatric research, 1441-7. https://doi.org/10.1016/j.jpsychires.2021.09.039
Salgado-Pineda, Pilar, et al. "Activation and deactivation patterns in schizophrenia during performance of an fMRI adapted version of the stroop task." Journal of psychiatric research vol. 144 (2021): 1-7. doi: https://doi.org/10.1016/j.jpsychires.2021.09.039
Salgado-Pineda P, Rodriguez-Jimenez R, Moreno-Ortega M, Dompablo M, Martínez de Aragón A, Salvador R, McKenna PJ, Pomarol-Clotet E, Palomo T. Activation and deactivation patterns in schizophrenia during performance of an fMRI adapted version of the stroop task. J Psychiatr Res. 2021 Dec;144:1-7. doi: 10.1016/j.jpsychires.2021.09.039. Epub 2021 Sep 23. PMID: 34583085.
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Crop loss identification at field parcel scale using satellite remote sensing and machine learning.

PloS one

Hiremath S, Wittke S, Palosuo T, Kaivosoja J, Tao F, Proll M, Puttonen E, Peltonen-Sainio P, Marttinen P, Mamitsuka H.
PMID: 34914721
PLoS One. 2021 Dec 16;16(12):e0251952. doi: 10.1371/journal.pone.0251952. eCollection 2021.

Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss is caused by many factors during the growing season; second, reliable reference data about crop loss are lacking; third, there are many ways to...

Cite
Hiremath S, Wittke S, Palosuo T, et al. Crop loss identification at field parcel scale using satellite remote sensing and machine learning. PLoS One. 2021;16(12):e0251952doi: 10.1371/journal.pone.0251952.
Hiremath, S., Wittke, S., Palosuo, T., Kaivosoja, J., Tao, F., Proll, M., Puttonen, E., Peltonen-Sainio, P., Marttinen, P., & Mamitsuka, H. (2021). Crop loss identification at field parcel scale using satellite remote sensing and machine learning. PloS one, 16(12), e0251952. https://doi.org/10.1371/journal.pone.0251952
Hiremath, Santosh, et al. "Crop loss identification at field parcel scale using satellite remote sensing and machine learning." PloS one vol. 16,12 (2021): e0251952. doi: https://doi.org/10.1371/journal.pone.0251952
Hiremath S, Wittke S, Palosuo T, Kaivosoja J, Tao F, Proll M, Puttonen E, Peltonen-Sainio P, Marttinen P, Mamitsuka H. Crop loss identification at field parcel scale using satellite remote sensing and machine learning. PLoS One. 2021 Dec 16;16(12):e0251952. doi: 10.1371/journal.pone.0251952. eCollection 2021. PMID: 34914721.
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Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations.

Agricultural and forest meteorology

Rodríguez A, Ruiz-Ramos M, Palosuo T, Carter TR, Fronzek S, Lorite IJ, Ferrise R, Pirttioja N, Bindi M, Baranowski P, Buis S, Cammarano D, Chen Y, Dumont B, Ewert F, Gaiser T, Hlavinka P, Hoffmann H, Höhn JG, Jurecka F, Kersebaum KC, Krzyszczak J, Lana M, Mechiche-Alami A, Minet J, Montesino M, Nendel C, Porter JR, Ruget F, Semenov MA, Steinmetz Z, Stratonovitch P, Supit I, Tao F, Trnka M, de Wit A, Rötter RP.
PMID: 31007324
Agric For Meteorol. 2019 Jan 15;264:351-362. doi: 10.1016/j.agrformet.2018.09.018.

Climate change is expected to severely affect cropping systems and food production in many parts of the world unless local adaptation can ameliorate these impacts. Ensembles of crop simulation models can be useful tools for assessing if proposed adaptation...

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Rodríguez A, Ruiz-Ramos M, Palosuo T, et al. Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations. Agric For Meteorol. 2019;264:351-362doi: 10.1016/j.agrformet.2018.09.018.
Rodríguez, A., Ruiz-Ramos, M., Palosuo, T., Carter, T. R., Fronzek, S., Lorite, I. J., Ferrise, R., Pirttioja, N., Bindi, M., Baranowski, P., Buis, S., Cammarano, D., Chen, Y., Dumont, B., Ewert, F., Gaiser, T., Hlavinka, P., Hoffmann, H., Höhn, J. G., Jurecka, F., Kersebaum, K. C., Krzyszczak, J., Lana, M., Mechiche-Alami, A., Minet, J., Montesino, M., Nendel, C., Porter, J. R., Ruget, F., Semenov, M. A., Steinmetz, Z., Stratonovitch, P., Supit, I., Tao, F., Trnka, M., de Wit, A., & Rötter, R. P. (2019). Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations. Agricultural and forest meteorology, 264351-362. https://doi.org/10.1016/j.agrformet.2018.09.018
Rodríguez, A, et al. "Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations." Agricultural and forest meteorology vol. 264 (2019): 351-362. doi: https://doi.org/10.1016/j.agrformet.2018.09.018
Rodríguez A, Ruiz-Ramos M, Palosuo T, Carter TR, Fronzek S, Lorite IJ, Ferrise R, Pirttioja N, Bindi M, Baranowski P, Buis S, Cammarano D, Chen Y, Dumont B, Ewert F, Gaiser T, Hlavinka P, Hoffmann H, Höhn JG, Jurecka F, Kersebaum KC, Krzyszczak J, Lana M, Mechiche-Alami A, Minet J, Montesino M, Nendel C, Porter JR, Ruget F, Semenov MA, Steinmetz Z, Stratonovitch P, Supit I, Tao F, Trnka M, de Wit A, Rötter RP. Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations. Agric For Meteorol. 2019 Jan 15;264:351-362. doi: 10.1016/j.agrformet.2018.09.018. PMID: 31007324; PMCID: PMC6472678.
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Attention-deficit-hyperactivity disorder and reward deficiency syndrome.

Neuropsychiatric disease and treatment

Blum K, Chen AL, Braverman ER, Comings DE, Chen TJ, Arcuri V, Blum SH, Downs BW, Waite RL, Notaro A, Lubar J, Williams L, Prihoda TJ, Palomo T, Oscar-Berman M.
PMID: 19183781
Neuropsychiatr Dis Treat. 2008 Oct;4(5):893-918. doi: 10.2147/ndt.s2627.

Molecular genetic studies have identified several genes that may mediate susceptibility to attention deficit hyperactivity disorder (ADHD). A consensus of the literature suggests that when there is a dysfunction in the "brain reward cascade," especially in the dopamine system,...

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Blum K, Chen AL, Braverman ER, et al. Attention-deficit-hyperactivity disorder and reward deficiency syndrome. Neuropsychiatr Dis Treat. 2008;4(5):893-918doi: 10.2147/ndt.s2627.
Blum, K., Chen, A. L., Braverman, E. R., Comings, D. E., Chen, T. J., Arcuri, V., Blum, S. H., Downs, B. W., Waite, R. L., Notaro, A., Lubar, J., Williams, L., Prihoda, T. J., Palomo, T., & Oscar-Berman, M. (2008). Attention-deficit-hyperactivity disorder and reward deficiency syndrome. Neuropsychiatric disease and treatment, 4(5), 893-918. https://doi.org/10.2147/ndt.s2627
Blum, Kenneth, et al. "Attention-deficit-hyperactivity disorder and reward deficiency syndrome." Neuropsychiatric disease and treatment vol. 4,5 (2008): 893-918. doi: https://doi.org/10.2147/ndt.s2627
Blum K, Chen AL, Braverman ER, Comings DE, Chen TJ, Arcuri V, Blum SH, Downs BW, Waite RL, Notaro A, Lubar J, Williams L, Prihoda TJ, Palomo T, Oscar-Berman M. Attention-deficit-hyperactivity disorder and reward deficiency syndrome. Neuropsychiatr Dis Treat. 2008 Oct;4(5):893-918. doi: 10.2147/ndt.s2627. PMID: 19183781; PMCID: PMC2626918.
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Global wheat production with 1.5 and 2.0°C above pre-industrial warming.

Global change biology

Liu B, Martre P, Ewert F, Porter JR, Challinor AJ, Müller C, Ruane AC, Waha K, Thorburn PJ, Aggarwal PK, Ahmed M, Balkovič J, Basso B, Biernath C, Bindi M, Cammarano D, De Sanctis G, Dumont B, Espadafor M, Eyshi Rezaei E, Ferrise R, Garcia-Vila M, Gayler S, Gao Y, Horan H, Hoogenboom G, Izaurralde RC, Jones CD, Kassie BT, Kersebaum KC, Klein C, Koehler AK, Maiorano A, Minoli S, Montesino San Martin M, Naresh Kumar S, Nendel C, O'Leary GJ, Palosuo T, Priesack E, Ripoche D, Rötter RP, Semenov MA, Stöckle C, Streck T, Supit I, Tao F, Van der Velde M, Wallach D, Wang E, Webber H, Wolf J, Xiao L, Zhang Z, Zhao Z, Zhu Y, Asseng S.
PMID: 30536680
Glob Chang Biol. 2018 Dec 07; doi: 10.1111/gcb.14542. Epub 2018 Dec 07.

Efforts to limit global warming to below 2°C in relation to the pre-industrial level are under way, in accordance with the 2015 Paris Agreement. However, most impact research on agriculture to date has focused on impacts of warming >2°C...

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Liu B, Martre P, Ewert F, et al. Global wheat production with 1.5 and 2.0°C above pre-industrial warming. Glob Chang Biol. 2018;doi: 10.1111/gcb.14542.
Liu, B., Martre, P., Ewert, F., Porter, J. R., Challinor, A. J., Müller, C., Ruane, A. C., Waha, K., Thorburn, P. J., Aggarwal, P. K., Ahmed, M., Balkovič, J., Basso, B., Biernath, C., Bindi, M., Cammarano, D., De Sanctis, G., Dumont, B., Espadafor, M., Eyshi Rezaei, E., Ferrise, R., Garcia-Vila, M., Gayler, S., Gao, Y., Horan, H., Hoogenboom, G., Izaurralde, R. C., Jones, C. D., Kassie, B. T., Kersebaum, K. C., Klein, C., Koehler, A. K., Maiorano, A., Minoli, S., Montesino San Martin, M., Naresh Kumar, S., Nendel, C., O'Leary, G. J., Palosuo, T., Priesack, E., Ripoche, D., Rötter, R. P., Semenov, M. A., Stöckle, C., Streck, T., Supit, I., Tao, F., Van der Velde, M., Wallach, D., Wang, E., Webber, H., Wolf, J., Xiao, L., Zhang, Z., Zhao, Z., Zhu, Y., & Asseng, S. (2018). Global wheat production with 1.5 and 2.0°C above pre-industrial warming. Global change biology, . https://doi.org/10.1111/gcb.14542
Liu, Bing, et al. "Global wheat production with 1.5 and 2.0°C above pre-industrial warming." Global change biology vol. (2018). doi: https://doi.org/10.1111/gcb.14542
Liu B, Martre P, Ewert F, Porter JR, Challinor AJ, Müller C, Ruane AC, Waha K, Thorburn PJ, Aggarwal PK, Ahmed M, Balkovič J, Basso B, Biernath C, Bindi M, Cammarano D, De Sanctis G, Dumont B, Espadafor M, Eyshi Rezaei E, Ferrise R, Garcia-Vila M, Gayler S, Gao Y, Horan H, Hoogenboom G, Izaurralde RC, Jones CD, Kassie BT, Kersebaum KC, Klein C, Koehler AK, Maiorano A, Minoli S, Montesino San Martin M, Naresh Kumar S, Nendel C, O'Leary GJ, Palosuo T, Priesack E, Ripoche D, Rötter RP, Semenov MA, Stöckle C, Streck T, Supit I, Tao F, Van der Velde M, Wallach D, Wang E, Webber H, Wolf J, Xiao L, Zhang Z, Zhao Z, Zhu Y, Asseng S. Global wheat production with 1.5 and 2.0°C above pre-industrial warming. Glob Chang Biol. 2018 Dec 07; doi: 10.1111/gcb.14542. Epub 2018 Dec 07. PMID: 30536680.
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Crop loss identification at field parcel scale using satellite remote sensing and machine learning.

PloS one

Hiremath S, Wittke S, Palosuo T, Kaivosoja J, Tao F, Proll M, Puttonen E, Peltonen-Sainio P, Marttinen P, Mamitsuka H.
PMID: 34914721
PLoS One. 2021 Dec 16;16(12):e0251952. doi: 10.1371/journal.pone.0251952. eCollection 2021.

Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss is caused by many factors during the growing season; second, reliable reference data about crop loss are lacking; third, there are many ways to...

Cite
Hiremath S, Wittke S, Palosuo T, et al. Crop loss identification at field parcel scale using satellite remote sensing and machine learning. PLoS One. 2021;16(12):e0251952doi: 10.1371/journal.pone.0251952.
Hiremath, S., Wittke, S., Palosuo, T., Kaivosoja, J., Tao, F., Proll, M., Puttonen, E., Peltonen-Sainio, P., Marttinen, P., & Mamitsuka, H. (2021). Crop loss identification at field parcel scale using satellite remote sensing and machine learning. PloS one, 16(12), e0251952. https://doi.org/10.1371/journal.pone.0251952
Hiremath, Santosh, et al. "Crop loss identification at field parcel scale using satellite remote sensing and machine learning." PloS one vol. 16,12 (2021): e0251952. doi: https://doi.org/10.1371/journal.pone.0251952
Hiremath S, Wittke S, Palosuo T, Kaivosoja J, Tao F, Proll M, Puttonen E, Peltonen-Sainio P, Marttinen P, Mamitsuka H. Crop loss identification at field parcel scale using satellite remote sensing and machine learning. PLoS One. 2021 Dec 16;16(12):e0251952. doi: 10.1371/journal.pone.0251952. eCollection 2021. PMID: 34914721; PMCID: PMC8675751.
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Comparative Analysis of Phenology Algorithms of the Spring Barley Model in APSIM 7.9 and APSIM Next Generation: A Case Study for High Latitudes.

Plants (Basel, Switzerland)

Kumar U, Morel J, Bergkvist G, Palosuo T, Gustavsson AM, Peake A, Brown H, Ahmed M, Parsons D.
PMID: 33652737
Plants (Basel). 2021 Feb 26;10(3). doi: 10.3390/plants10030443.

Phenology algorithms in crop growth models have inevitable systematic errors and uncertainties. In this study, the phenology simulation algorithms in APSIM classical (APSIM 7.9) and APSIM next generation (APSIM-NG) were compared for spring barley models at high latitudes. Phenological...

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Kumar U, Morel J, Bergkvist G, et al. Comparative Analysis of Phenology Algorithms of the Spring Barley Model in APSIM 7.9 and APSIM Next Generation: A Case Study for High Latitudes. Plants (Basel). 2021;10(3)doi: 10.3390/plants10030443.
Kumar, U., Morel, J., Bergkvist, G., Palosuo, T., Gustavsson, A. M., Peake, A., Brown, H., Ahmed, M., & Parsons, D. (2021). Comparative Analysis of Phenology Algorithms of the Spring Barley Model in APSIM 7.9 and APSIM Next Generation: A Case Study for High Latitudes. Plants (Basel, Switzerland), 10(3), . https://doi.org/10.3390/plants10030443
Kumar, Uttam, et al. "Comparative Analysis of Phenology Algorithms of the Spring Barley Model in APSIM 7.9 and APSIM Next Generation: A Case Study for High Latitudes." Plants (Basel, Switzerland) vol. 10,3 (2021). doi: https://doi.org/10.3390/plants10030443
Kumar U, Morel J, Bergkvist G, Palosuo T, Gustavsson AM, Peake A, Brown H, Ahmed M, Parsons D. Comparative Analysis of Phenology Algorithms of the Spring Barley Model in APSIM 7.9 and APSIM Next Generation: A Case Study for High Latitudes. Plants (Basel). 2021 Feb 26;10(3). doi: 10.3390/plants10030443. PMID: 33652737; PMCID: PMC7996762.
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Integrative Transcriptomics Reveals Activation of Innate Immune Responses and Inhibition of Inflammation During Oral Immunotherapy for Egg Allergy in Children.

Frontiers in immunology

Karisola P, Palosuo K, Hinkkanen V, Wisgrill L, Savinko T, Fyhrquist N, Alenius H, Mäkelä MJ.
PMID: 34975829
Front Immunol. 2021 Dec 15;12:704633. doi: 10.3389/fimmu.2021.704633. eCollection 2021.

We previously reported the results of a randomized, open-label trial of egg oral immunotherapy (OIT) in 50 children where 44% were desensitized and 46% were partially desensitized after 8 months of treatment. Here we focus on cell-mediated molecular mechanisms...

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Karisola P, Palosuo K, Hinkkanen V, et al. Integrative Transcriptomics Reveals Activation of Innate Immune Responses and Inhibition of Inflammation During Oral Immunotherapy for Egg Allergy in Children. Front Immunol. 2021;12:704633doi: 10.3389/fimmu.2021.704633.
Karisola, P., Palosuo, K., Hinkkanen, V., Wisgrill, L., Savinko, T., Fyhrquist, N., Alenius, H., & Mäkelä, M. J. (2021). Integrative Transcriptomics Reveals Activation of Innate Immune Responses and Inhibition of Inflammation During Oral Immunotherapy for Egg Allergy in Children. Frontiers in immunology, 12704633. https://doi.org/10.3389/fimmu.2021.704633
Karisola, Piia, et al. "Integrative Transcriptomics Reveals Activation of Innate Immune Responses and Inhibition of Inflammation During Oral Immunotherapy for Egg Allergy in Children." Frontiers in immunology vol. 12 (2021): 704633. doi: https://doi.org/10.3389/fimmu.2021.704633
Karisola P, Palosuo K, Hinkkanen V, Wisgrill L, Savinko T, Fyhrquist N, Alenius H, Mäkelä MJ. Integrative Transcriptomics Reveals Activation of Innate Immune Responses and Inhibition of Inflammation During Oral Immunotherapy for Egg Allergy in Children. Front Immunol. 2021 Dec 15;12:704633. doi: 10.3389/fimmu.2021.704633. eCollection 2021. PMID: 34975829; PMCID: PMC8714802.
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