Search Results - "Sampri, Alexia"

Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions by Moreno-Indias, Isabel, Lahti, Leo, Nedyalkova, Miroslava, Elbere, Ilze, Roshchupkin, Gennady, Adilovic, Muhamed, Aydemir, Onder, Bakir-Gungor, Burcu, Santa Pau, Enrique Carrillo-de, D'Elia, Domenica, Desai, Mahesh S, Falquet, Laurent, Gundogdu, Aycan, Hron, Karel, Klammsteiner, Thomas, Lopes, Marta B, Marcos-Zambrano, Laura Judith, Marques, Cláudia, Mason, Michael, May, Patrick, Pašić, Lejla, Pio, Gianvito, Pongor, Sándor, Promponas, Vasilis J, Przymus, Piotr, Saez-Rodriguez, Julio, Sampri, Alexia, Shigdel, Rajesh, Stres, Blaz, Suharoschi, Ramona, Truu, Jaak, Truică, Ciprian-Octavian, Vilne, Baiba, Vlachakis, Dimitrios, Yilmaz, Ercument, Zeller, Georg, Zomer, Aldert L, Gómez-Cabrero, David, Claesson, Marcus J

“…The human microbiome has emerged as a central research topic in human biology and biomedicine. Current microbiome studies generate high-throughput omics data…”
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A toolbox of machine learning software to support microbiome analysis by Marcos-Zambrano, Laura Judith, López-Molina, Víctor Manuel, Bakir-Gungor, Burcu, Frohme, Marcus, Karaduzovic-Hadziabdic, Kanita, Klammsteiner, Thomas, Ibrahimi, Eliana, Lahti, Leo, Loncar-Turukalo, Tatjana, Dhamo, Xhilda, Simeon, Andrea, Nechyporenko, Alina, Pio, Gianvito, Przymus, Piotr, Sampri, Alexia, Trajkovik, Vladimir, Lacruz-Pleguezuelos, Blanca, Aasmets, Oliver, Araujo, Ricardo, Anagnostopoulos, Ioannis, Aydemir, Önder, Berland, Magali, Calle, M Luz, Ceci, Michelangelo, Duman, Hatice, Gündoğdu, Aycan, Havulinna, Aki S, Kaka Bra, Kardokh Hama Najib, Kalluci, Eglantina, Karav, Sercan, Lode, Daniel, Lopes, Marta B, May, Patrick, Nap, Bram, Nedyalkova, Miroslava, Paciência, Inês, Pasic, Lejla, Pujolassos, Meritxell, Shigdel, Rajesh, Susín, Antonio, Thiele, Ines, Truică, Ciprian-Octavian, Wilmes, Paul, Yilmaz, Ercument, Yousef, Malik, Claesson, Marcus Joakim, Truu, Jaak, Carrillo de Santa Pau, Enrique

“…The human microbiome has become an area of intense research due to its potential impact on human health. However, the analysis and interpretation of this data…”
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Probabilistic Approaches for Data Integration in Biomedical Research by Sampri, Alexia

“…Data generated by the numerous medical studies conducted worldwide have the potential benefit the scientific and patient communities by generating new…”
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Undervaccination and severe COVID-19 outcomes: meta-analysis of national cohort studies in England, Northern Ireland, Scotland, and Wales by Kerr, Steven, Bedston, Stuart, Cezard, Genevieve, Sampri, Alexia, Murphy, Siobhan, Bradley, Declan T, Morrison, Kirsty, Akbari, Ashley, Whiteley, William, Sullivan, Christopher, Patterson, Lynsey, Khunti, Kamlesh, Denaxas, Spiros, Bolton, Thomas, Khan, Samaira, Keys, Alan, Weatherill, David, Mooney, Karen, Davies, Jan, Ritchie, Lewis, McMenamin, Jim, Kee, Frank, Wood, Angela, Lyons, Ronan A, Sudlow, Cathie, Robertson, Chris, Sheikh, Aziz

“…Undervaccination (receiving fewer than the recommended number of SARS-CoV-2 vaccine doses) could be associated with increased risk of severe COVID-19…”
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Risks of major arterial and venous thrombotic diseases after hospitalisation for influenza, pneumonia, and COVID-19: A population-wide cohort in 2.6 million people in Wales by Keene, Spencer, Abbasizanjani, Hoda, Torabi, Fatemeh, Knight, Rochelle, Walker, Venexia, Raffetti, Elena, Cezard, Genevieve, Ip, Samantha, Sampri, Alexia, Bolton, Thomas, Denholm, Rachel, Khunti, Kamlesh, Akbari, Ashley, Quint, Jennifer, Denaxas, Spiros, Sudlow, Cathie, Di Angelantonio, Emanuele, Sterne, Jonathan A.C., Wood, Angela, Whiteley, William N.

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Occupational Exposure Assessment Tools in Europe: A Comprehensive Inventory Overview by Peters, Susan, Vienneau, Danielle, Sampri, Alexia, Turner, Michelle C, Castaño-Vinyals, Gemma, Bugge, Merete, Vermeulen, Roel

“…The Network on the Coordination and Harmonisation of European Occupational Cohorts (OMEGA-NET) was set up to enable optimization of the use of industrial and…”
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Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era by Mavragani, Amaryllis, Sampri, Alexia, Sypsa, Karla, Tsagarakis, Konstantinos P

“…With the internet's penetration and use constantly expanding, this vast amount of information can be employed in order to better assess issues in the US health…”
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Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action by D'Elia, Domenica, Truu, Jaak, Lahti, Leo, Berland, Magali, Papoutsoglou, Georgios, Ceci, Michelangelo, Zomer, Aldert, Lopes, Marta B, Ibrahimi, Eliana, Gruca, Aleksandra, Nechyporenko, Alina, Frohme, Marcus, Klammsteiner, Thomas, Pau, Enrique Carrillo-de Santa, Marcos-Zambrano, Laura Judith, Hron, Karel, Pio, Gianvito, Simeon, Andrea, Suharoschi, Ramona, Moreno-Indias, Isabel, Temko, Andriy, Nedyalkova, Miroslava, Apostol, Elena-Simona, Truică, Ciprian-Octavian, Shigdel, Rajesh, Telalović, Jasminka Hasić, Bongcam-Rudloff, Erik, Przymus, Piotr, Jordamović, Naida Babić, Falquet, Laurent, Tarazona, Sonia, Sampri, Alexia, Isola, Gaetano, Pérez-Serrano, David, Trajkovik, Vladimir, Klucar, Lubos, Loncar-Turukalo, Tatjana, Havulinna, Aki S, Jansen, Christian, Bertelsen, Randi J, Claesson, Marcus Joakim

“…The rapid development of machine learning (ML) techniques has opened up the data-dense field of microbiome research for novel therapeutic, diagnostic, and…”
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Changes in sick notes associated with COVID-19 from 2020 to 2022: a cohort study in 24 million primary care patients in OpenSAFELY-TPP by Bhaskaran, Krishnan, Denaxas, Spiros, Bacon, Sebastian C J, Mehrkar, Amir, Bates, Christopher, Greaves, Felix, Macleod, John, Davy, Simon, Ben Goldacre, Liam Hart, Hickman, George, Inglesby, Peter, Maude, Steven, Morley, Jessica, Ward, Tom, Massey, Jon, Wiedemann, Milan, Bates, Christopher, Cockburn, Jonathan, Harper, Sam, Chaturvedi, Nishi, Park, Chloe, Williams, Dylan, Boyd, Andy, Evans, Katharine M, McLachlan, Stela, Timpson, Nicholas, Kwong, Alex, Jones, Louise, Herbert, Annie, Palmer, Tom, Sterne, Jonathan, Fox, Laura, Denholm, Rachel, Kate, Northstone, Arun, Kanagaratnam, Horne, Elsie, Forbes, Harriet, North, Teri, Taylor, Kurt, Arab, Marwa AL, Karthikeyan, Arun S, Wielgoszewska, Bozena, Bridger-Staatz, Charis, Thompson, Ellen, Garcia, Paz, Cheetham, Nathan, Roberts, Amy, Fisher, Louis, MacKenna, Brian, Andrews, Colm, Curtis, Helen, Hopcroft, Lisa, Maddock, Jane, Patel, Kishan, Jacques, Wels, Tilling, Kate, Silverwood, Anoop Shah Richard, Campbell, Archie, Tomlinson, Laurie, Tazare, John, Zheng, Bang, Smeeth, Liam, Herrett, Emily, Cowling, Thomas, Costello, Ruth E, Wang, Kevin, Mahalingasivam, Viyaasan, Douglas, Ian, Parker, Michael, Kennedy, Jonathan, McEachan, Rosie, Badrick, Ellena, Hou, Bo, Steptoe, Andrew, Gessa, Giorgio Di, Zaninotto, Paola, Wood, Angela, Cezard, Genevieve, Ip, Samantha, Bolton, Tom, Sampri, Alexia, Rafeti, Elena, Katikireddi, Vittal, Shaw, Richard, Greaves, Felix, Wong, Andrew, Nigrelli, Lidia, McArdle, Fintan, Beckford, Chelsea, Folarin, Amos, Stewart, Callum, Carpentieri, Jd, Sheard, Laura, Fang, Chao, Gibson, Andy, Kellas, John, Jezzard, Peter, Green, Mark, Lemanska, Agnieszka, Piehlmaier, Dominik

“…ObjectivesLong-term sickness absence from employment has negative consequences for the economy and can lead to widened health inequalities. Sick notes (also…”
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Ethnic differences in the indirect effects of the COVID-19 pandemic on clinical monitoring and hospitalisations for non-COVID conditions in England: a population-based, observational cohort study using the OpenSAFELY platform by Piehlmaier, Dominik, Zheng, Bang, Mansfield, Kathryn E., Henderson, Alasdair D., Warren-Gash, Charlotte, Quint, Jennifer K., Tomlinson, Laurie, Langan, Sinéad M., Park, Chloe, Carnemolla, Alisia, Knueppel, Anika, Evans, Katharine M., Thomas, Richard, McLachlan, Stela, Whitehorn, Rebecca, Soares, Ana Goncalves, Sterne, Jonathan, Walker, Venexia, Huntley, Lizzie, Fox, Laura, Denholm, Rachel, Northstone, Kate, Walker, Scott, Coronado, Jose I.C., Ploubidis, George, Parsons, Sam, Wielgoszewska, Bozena, Bridger-Staatz, Charis, Bowyer, Ruth, Morley, Jess, Hulme, William, Nab, Linda, Curtis, Helen, Green, Amelia, Patel, Kishan, Jacques, Wels, McElroy, Eoin, Silverwood, Richard, Flaig, Robin, McCartney, Daniel, Cowling, Thomas, Mansfield, Kate, Brophy, Sinead, Parker, Michael, Willan, Kathryn, Santorelli, Gillian, Zhu, Jingmin, Zaninotto, Paola, Almaghrabi, Fatima, Hamilton, Olivia, Green, Michael, Kromydas, Theocharis, Kopasker, Daniel, Willans, Robert, Sharp, Steve, Hughes, Alun, Wong, Andrew, Raman, Betty, Folarin, Amos, Ranjan, Yatharth, Baz, Sarah, Piechnik, Stefan, Lukaschuk, Elena, Saunders, Laura C., Wild, James M., Smith, Stephen, Sanders, Zeena-Britt, Finnigan, Lucy, Kibble, Milla, Teece, Lucy, Walker, Alex J., Inglesby, Peter, Curtis, Helen J., Morley, Jessica, Bacon, Sebastian C.J., Smith, Rebecca M., Hulme, William J., Andrews, Colm D., Hopcroft, Lisa E.M., Drysdale, Henry, Dillingham, Iain, Cunningham, Christine, Wiedemann, Milan, O'Dwyer, Thomas, Bridges, Lucy, Schaffer, Andrea L., Rentsch, Christopher T., Schultze, Anna, Williamson, Elizabeth J., Wing, Kevin, Walker, Jemma L., Cowling, Thomas E., Parker, Edward P.K., Harper, Sam, Eavis, Alex, Fowles, Aaron, Parkes, Nasreen, Nicholson, Brian, Harrison, David, Khunti, Kamlesh

“…The COVID-19 pandemic disrupted healthcare and may have impacted ethnic inequalities in healthcare. We aimed to describe the impact of pandemic-related…”
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