Showing results 10632 to 10651 of 19105
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| Preview | Issue Date | Title | Author(s) |
| 1995 | ⁹⁹M Technetium labelled leukocyte scanning in acute lower abdominal pain; can it reduce the negative appendicectomy rate? | Moore, J.; Bartholomeusz, D.; Wycherley, A.; Devitt, P.; Toouli, J.; Drew, P. |
| 2016 | M-type pyruvate kinase isoforms and lactate dehydrogenase a in the mammalian retina: metabolic implications | Casson, R.; Wood, J.; Han, G.; Kittipassorn, T.; Peet, D.; Chidlow, G. |
| 2020 | M/M/infinity birth-death processes - a quantitative representational framework to summarize and explain phase singularity and wavelet dynamics in atrial fibrillation | Dharmaprani, D.; Jenkins, E.; Aguilar, M.; Quah, J.X.; Lahiri, A.; Tiver, K.; Mitchell, L.; Kuklik, P.; Meyer, C.; Willems, S.; Clayton, R.; Nash, M.; Nattel, S.; McGavigan, A.D.; Ganesan, A.N. |
| 2021 | Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score | Dajti, I.; Valenzuela, J.I.; Boccalatte, L.A.; Gemelli, N.A.; Smith, D.E.; Dudi-Venkata, N.N.; Kroon, H.M.; Sammour, T.; Roberts, M.; Mitchell, D.; Lah, K.; Pearce, A.; Morton, A.; Dawson, A.C.; Drane, A.; Sharpin, C.; Nataraja, R.M.; Pacilli, M.; Cox, D.R.A.; Muralidharan, V.; et al. |
| 2023 | Machine learning to predict poor school performance in paediatric survivors of intensive care: a population-based cohort study | Gilholm, P.; Gibbons, K.; Brüningk, S.; Klatt, J.; Vaithianathan, R.; Long, D.; Millar, J.; Tomaszewski, W.; Schlapbach, L.J.; Ganeshalingam, A.; Sherring, C.; Erickson, S.; Barr, S.; Raman, S.; Long, D.; Schlapbach, L.; Gibbons, K.; George, S.; Singh, P.; Smith, V.; et al. |
| 1999 | Macrophage colony-stimulating factor and interleukin-6 release by periprosthetic cells stimulates osteoclast formation and bone resorption | Neale, S.; Sabokbar, A.; Howie, D.; Murray, D.; Athanasou, N. |
| 2005 | Macrophage colony-stimulating factor receptor c-fms is a novel target of imatinib | Dewar, A.; Cambareri, A.; Zannettino, A.; Boog, B.; Doherty, K.; Hughes, T.; Lyons, A. |
| 2013 | Macrophage inhibitory cytokine-1 is associated with cognitive impairment and predicts cognitive decline - the Sydney memory and aging study | Fuchs, T.; Trollor, J.; Crawford, J.; Brown, D.; Baune, B.; Samaras, K.; Campbell, L.; Breit, S.; Brodaty, H.; Sachdev, P.; Smith, E. |
| 2022 | Macrophage-Mediated Inflammation in Skin Wound Healing | Hassanshahi, A.; Moradzad, M.; Ghalamkari, S.; Fadaei, M.; Cowin, A.J.; Hassanshahi, M. |
| 2013 | Macrophage-tropic HIV-1 variants from brain demonstrate alterations in the way gp120 engages both CD4 and CCR5 | Salimi, H.; Roche, M.; Webb, N.; Gray, L.; Chikere, K.; Sterjovski, J.; Ellett, A.; Wesselingh, S.; Ramsland, P.; Lee, B.; Churchill, M.; Gorry, P. |
| 2010 | Macrophages define dermal lymphatic vessel calibre during development by regulating lymphatic endothelial cell proliferation | Gordon, E.; Rao, S.; Pollard, J.; Nutt, S.; Lang, R.; Harvey, N. |
| 2021 | Macrophages exert homeostatic actions in pregnancy to protect against preterm birth and fetal inflammatory injury | Gomez-Lopez, N.; Garcia-Flores, V.; Chin, P.Y.; Groome, H.M.; Bijland, M.T.; Diener, K.R.; Romero, R.; Robertson, S.A. |
| 2021 | Macrophages in multiple myeloma: key roles and therapeutic strategies | Opperman, K.S.; Vandyke, K.; Psaltis, P.J.; Noll, J.E.; Zannettino, A.C.W. |
| 2019 | Macrophages infiltrating endometriosis-like lesions exhibit progressive phenotype changes in a heterologous mouse model | Johan, M.Z.; Ingman, W.V.; Robertson, S.A.; Hull, M.L. |
| 2003 | Macrovascular risk and diagnostic criteria for type 2 diabetes - Implications for the use of FPG and HbA1c for cost-effective screening | Jesudason, D.; Leong, D.; Dunstan, K.; Wittert, G. |
| 2011 | MacSween's pathology of the liver | Burt, A.D.; Portmann, B.C.; Ferrell, L.D. |
| 2019 | Macular ganglion cell-inner plexiform layer loss precedes peripapillary retinal nerve fiber layer loss in glaucoma with lower intraocular pressure | Marshall, H.N.; Andrew, N.H.; Hassall, M.; Qassim, A.; Souzeau, E.; Ridge, B.; Nguyen, T.; Fitzgerald, J.; Awadalla, M.S.; Burdon, K.P.; Healey, P.R.; Agar, A.; Galanopoulos, A.; Hewitt, A.W.; Graham, S.L.; Landers, J.; Casson, R.J.; Craig, J.E. |
| 2013 | Macular hole following Rickettsia conorii infection | Soo, K.N.; Simon, S.; Gilhotra, J.S. |
| 2013 | Maculatin 1.1 disrupts staphylococcus aureus lipid membranes via a pore mechanism | Sani, M.; Whitwell, T.; Gehman, J.; Robins-Browne, R.; Pantarat, N.; Attard, T.; Reynolds, E.; O'Brien-Simpson, N.; Separovic, F. |
| 2018 | MAGIC: An open-source MATLAB toolbox for external control of transcranial magnetic stimulation devices | Habibollahi Saatlou, F.; Rogasch, N.C.; McNair, N.A.; Biabani, M.; Pillen, S.D.; Marshall, T.R.; Bergmann, T.O. |
