Browsing "Hospital das Clínicas da Faculdade de Medicina - HC" by Title
Showing results 25654 to 25673 of 44243
< previous
next >
| Issue Date | Title | Author(s) |
|---|---|---|
| 2019 | M&M: blending medicine and music | BRONSTEIN, Marcello D. |
| 2014 | m-RECIST at 1 month and Child A are survival predictors after percutaneous ethanol injection of hepatocellular carcinoma | SILVA, Mauricio F.; CARRILHO, Flair J.; PARANAGUA-VEZOZZO, Denise C.; CAMPOS, Luciana T.; NACIF, Lucas S.; DINIZ, Marcio A.; FARIAS, Alberto Q.; ALVES, Venancio A. F.; D'ALBURQUERQUE, Luis A. C.; ONO, Suzane K. |
| 2018 | THE M-RNA, EXPRESSION OF SERCA2 AND NCX1 IN THE PROCESS OF PHARMACOLOGICAL CELL PROTECTION IN EXPERIMENTAL ACUTE PANCREATITIS INDUCED BY TAUROCHOLATE | VASQUES, Enio Rodrigues; CUNHA, Jose Eduardo Monteiro; KUBRUSLY, Marcia Saldanha; COELHO, Ana Maria; SANPIETRI, Sandra N.; NADER, Helena B.; TERSARIOL, Ivarne L. S.; LIMA, Marcelo A.; CHAIB, Eleazar; D'ALBUQUERQUE, Luiz Augusto Carneiro |
| 2023 | M2 macrophages drive leukemic transformation by imposing resistance to phagocytosis and improving mitochondrial metabolism | WEINHAUSER, Isabel; PEREIRA-MARTINS, Diego A.; ALMEIDA, Luciana Y.; HILBERINK, Jacobien R.; SILVEIRA, Douglas R. A.; QUEK, Lynn; ORTIZ, Cesar; ARAUJO, Cleide L.; BIANCO, Thiago M.; LUCENA-ARAUJO, Antonio, et al |
| 2020 | M2-Polarized Macrophages Determine Human Cutaneous Lesions in Lacaziosis | BARBOZA, Tania Cristina; SOTTO, Mirian Nacagami; KANASHIRO-GALO, Luciane; BRITO, Arival Cardoso de; DUARTE, Maria Irma Seixas; QUARESMA, Juarez Antonio Simoes; PAGLIARI, Carla |
| 2022 | Machine learning and prediction of traumatic brain injury mortality | SANTOS, J. G. R. P. dos; PAIVA, W. S. |
| 2016 | Machine learning approach with baseline clinical data forecasting depression relapse in bipolar disorder | DIAS, R.; SALVINI, R.; NIERENBERG, A.; LAFER, B. |
| 2023 | Machine learning concepts applied to oral pathology and oral medicine: A convolutional neural networks' approach | ARAUJO, Anna Luiza Damaceno; SILVA, Viviane Mariano da; KUDO, Maira Suzuka; SOUZA, Eduardo Santos Carlos de; SALDIVIA-SIRACUSA, Cristina; GIRALDO-ROLDAN, Daniela; LOPES, Marcio Ajudarte; VARGAS, Pablo Agustin; KHURRAM, Syed Ali; PEARSON, Alexander T., et al |
| 2023 | Machine learning for detection and classification of oral potentially malignant disorders: A conceptual review | SOUZA, Lucas Lacerda de; FONSECA, Felipe Paiva; ARAUJO, Anna Luiza Damaceno; LOPES, Marcio Ajudarte; VARGAS, Pablo Agustin; KHURRAM, Syed Ali; KOWALSKI, Luiz Paulo; SANTOS, Harim Tavares dos; WARNAKULASURIYA, Saman; DOLEZAL, James, et al |
| 2021 | Machine Learning for Prediction of Survival and Risk of Mortality in Patients with Lung Cancer Undergoing Resection | FACCIOLI, R.; HEISE, L.; FONSECA, C.; LIAW, W.; LAURICELLA, L.; PEGO-FERNANDES, P.; TERRA, R. |
| 2023 | Machine learning for the prediction of toxicities from head and neck cancer treatment: A systematic review with meta-analysis | ARAUJO, Anna Luiza Damaceno; MORAES, Matheus Cardoso; PEREZ-DI-OLIVEIRA, Maria Eduarda; SILVA, Viviane Mariano da; SALDIVIA-SIRACUSA, Cristina; PEDROSO, Caique Mariano; LOPES, Marcio Ajudarte; VARGAS, Pablo Agustin; KOCHANNY, Sara; PEARSON, Alexander, et al |
| 2021 | A machine learning framework for the evaluation of myocardial rotation in patients with noncompaction cardiomyopathy | MELO, Marcelo Dantas Tavares de; ARAUJO-FILHO, Jose de Arimateia Batista; BARBOSA, Jose Raimundo; ROCON, Camila; REGIS, Carlos Danilo Miranda; FELIX, Alex dos Santos; KALIL FILHO, Roberto; BOCCHI, Edimar Alcides; HAJJAR, Ludhmila Abrahao; TABASSIAN, Mahdi, et al |
| 2023 | A Machine Learning Prediction Model for Immediate Graft Function After Deceased Donor Kidney Transplantation | QUININO, Raquel M. M.; AGENA, Fabiana; ANDRADE, Luis Gustavo Modelli de; FURTADO, Mariane; CHIAVEGATTO FILHO, Alexandre D. P.; DAVID-NETO, Elias |
| 2023 | MACHINE LEARNING PREDICTION MODELS OF CORONARY PLAQUE PROGRESSION AFTER ONE-YEAR OF HIGH-INTENSITY ROSUVASTATIN THERAPY FROM INTRAVASCULAR ULTRASOUND IMAGES | GARCIA-GARCIA, H.; BULANT, C.; BASS, R.; BORONI, G.; CLAUSSE, A.; LEMOS, P.; BLANCO, P.; LOSDAT, S.; RABER, L. |
| 2021 | Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score | DAJTI, I; I, J. Valenzuela; BOCCALATTE, L. A.; GEMELLI, N. A.; SMITH, D. E.; DUDI-VENKATA, N. N.; KROON, H. M.; SAMMOUR, T.; ROBERTS, M.; MITCHELL, D., et al |
| 2020 | Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer | SANTOS, Hellen Geremias dos; ZAMPIERI, Fernando Godinho; NORMILIO-SILVA, Karina; SILVA, Gisela Tunes da; LIMA, Antonio Carlos Pedroso de; CAVALCANTI, Alexandre Biasi; CHIAVEGATTO FILHO, Alexandre Dias Porto |
| 2021 | Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor Ligands | WILDEMBERG, Luiz Eduardo; CAMACHO, Aline Helen da Silva; MIRANDA, Renan Lyra; ELIAS, Paula C. L.; MUSOLINO, Nina R. de Castro; NAZATO, Debora; JALLAD, Raquel; HUAYLLAS, Martha K. P.; MOTA, Jose Italo S.; ALMEIDA, Tobias, et al |
| 2013 | Macitentan and Morbidity and Mortality in Pulmonary Arterial Hypertension | PULIDO, Tomas; ADZERIKHO, Igor; CHANNICK, Richard N.; DELCROIX, Marion; GALIE, Nazzareno; GHOFRANI, Hossein-Ardeschir; JANSA, Pavel; JING, Zhi-Cheng; BRUN, Franck-Olivier Le; MEHTA, Sanjay, et al |
| 2017 | Macitentan Improves Health- Related Quality of Life for Patients With Pulmonary Arterial Hypertension | MEHTA, Sanjay; SASTRY, Bhagavatula Kutumba Srinivasa; SOUZA, Rogerio; TORBICKI, Adam; GHOFRANI, Hossein-Ardeschir; CHANNICK, Richard N.; DELCROIX, Marion; PULIDO, Tomas; SIMONNEAU, Gerald; WLODARCZYK, John, et al |
| 2013 | Macitentan Improves Health-Related Quality Of Life In Pulmonary Arterial Hypertension: Results From The Randomized Controlled Seraphin Trial | MEHTA, S.; CHANNICK, R. N.; DELCROIX, M.; GALIE, N.; GHOFRANI, H. -A.; HUNSCHE, E.; JANSA, P.; BRUN, F. -O. Le; MITTELHOLZER, C.; PERCHENET, L., et al |