Results 91 to 100 of about 5,702,542 (372)

Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma [PDF]

arXiv, 2020
Multiple Myeloma (MM) is a blood cancer implying bone marrow involvement, renal damages and osteolytic lesions. The skeleton involvement of MM is at the core of the present paper, exploiting radiomics and artificial intelligence to identify image-based biomarkers for MM.
arxiv  

Regression on imperfect class labels derived by unsupervised clustering [PDF]

, 2019
Outcome regressed on class labels identified by unsupervised clustering is custom in many applications. However, it is common to ignore the misclassification of class labels caused by the learning algorithm, which potentially leads to serious bias of the estimated effect parameters.
arxiv   +1 more source

Recommendations for vaccination in multiple myeloma: a consensus of the European Myeloma Network

Leukemia, 2020
Vaccination is one of the most successful medical interventions that has saved the life of millions of people. Vaccination is particularly important in patients with multiple myeloma, who have an increased risk of infections due to the disease-inherent ...
H. Ludwig, M. Boccadoro, P. Moreau, J. San-Miguel, M. Cavo, C. Pawlyn, S. Zweegman, T. Facon, C. Driessen, R. Hájek, M. Dimopoulos, F. Gay, H. Avet-Loiseau, E. Terpos, N. Zojer, M. Mohty, M. Mateos, H. Einsele, M. Delforge, J. Caers, K. Weisel, G. Jackson, L. Garderet, M. Engelhardt, N. V. D. van de Donk, X. Leleu, H. Goldschmidt, M. Beksaç, I. Nijhof, N. Abildgaard, S. Bringhen, P. Sonneveld   +31 more
semanticscholar   +1 more source

Assessment of concurrent neoplasms and a paraneoplastic association in MOGAD

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Cases of myelin oligodendrocyte glycoprotein (MOG) antibody‐associated disease (MOGAD) co‐occurring with neoplasms have been reported. In this international, retrospective cohort study in South Korea and the USA, 16 of 445 (3.6%) patients with MOGAD had concurrent neoplasm within 2 years of MOGAD onset, resulting in a standardized incidence ...
Young Nam Kwon, Nanthaya Tisavipat, Yong Guo, Stephanie B. Syc‐Mazurek, Ji Yeon Han, Jun‐Soon Kim, Kyomin Choi, Seong‐il Oh, Seok‐Jin Choi, Eunhee Sohn, Jeeyoung Oh, Seung Woo Kim, Ha Young Shin, Byung Chan Lim, Byoung Joon Kim, Kyung Seok Park, Jung‐Joon Sung, Se Hoon Kim, Sung‐Hye Park, Anastasia Zekeridou, Claudia F. Lucchinetti, Sean J. Pittock, John J. Chen, Eoin P. Flanagan, Sung‐Min Kim   +24 more
wiley   +1 more source

The evolving pattern of the monoclonal protein improves the IMWG 2/20/20 classification for patients with smoldering multiple myeloma

HemaSphere
The 2/20/20 International Myeloma Working Group (IMWG) score is the most employed risk score in clinical practice to evaluate the risk of progression from smoldering multiple myeloma (SMM) to symptomatic multiple myeloma.
Anna deDaniel, Luis Gerardo Rodríguez‐Lobato, Natalia Tovar, M. Teresa Cibeira, David F. Moreno, Aina Oliver‐Caldés, Ignacio Isola, Ester Lozano, Joan Bladé, Laura Rosiñol, Carlos Fernández de Larrea   +10 more
doaj   +1 more source

Data-guided Treatment Recommendation with Feature Scores [PDF]

arXiv, 2021
Despite the availability of large amounts of genomics data, medical treatment recommendations have not successfully used them. In this paper, we consider the utility of high dimensional genomic-clinical data and nonparametric methods for making cancer treatment recommendations.
arxiv  

A Novel 3D High‐Throughput Phenotypic Drug Screening Pipeline to Identify Drugs with Repurposing Potential for the Treatment of Ovarian Cancer

Advanced Healthcare Materials, EarlyView.
Ovarian cancer's high recurrence and therapy resistance demand new strategies. A high‐throughput drug screening pipeline using 3D spheroids, which showed poor concordance with 2D models, identified rapamycin as a promising candidate. In combination with cisplatin, rapamycin demonstrated significant in vitro and in vivo efficacy, highlighting the ...
Nazanin Karimnia, Amy L. Wilson, Brittany R. Doran, Jennie Do, Amelia Matthews, Gwo Y. Ho, Magdalena Plebanski, Thomas W. Jobling, Andrew N. Stephens, Maree Bilandzic   +9 more
wiley   +1 more source

Revealing the impact of structural variants in multiple myeloma.

Blood Cancer Discovery, 2020
The landscape of structural variants (SVs) in multiple myeloma remains poorly understood. Here, we performed comprehensive analysis of SVs in a large cohort of 752 multiple myeloma patients by low coverage long-insert whole genome sequencing.
E. Rustad, V. Yellapantula, D. Głodzik, K. Maclachlan, B. Diamond, E. Boyle, C. Ashby, P. Blaney, G. Gundem, M. Hultcrantz, D. Leongamornlert, Nicos Angelopoulos, L. Agnelli, D. Auclair, Yanming Zhang, A. Dogan, N. Bolli, E. Papaemmanuil, K. Anderson, P. Moreau, H. Avet-Loiseau, N. Munshi, J. Keats, P. Campbell, G. Morgan, O. Landgren, F. Maura   +26 more
semanticscholar   +1 more source

Inorganic Nanomaterials Meet the Immune System: An Intricate Balance

Advanced Healthcare Materials, EarlyView.
Metal nanomaterials influence the immune responses, such as cytokine production and T‐cell activity. Unintended immune modulation can have significant consequences while its fine‐tuning may transform the oncology care. Within this review, a critical analysis is offered regarding the nano/immune‐interaction and suggests the future research directions to
Gloria Pizzoli, Marco Gargaro, Giuliana Drava, Valerio Voliani   +3 more
wiley   +1 more source

Kernel Cox partially linear regression: building predictive models for cancer patients' survival [PDF]

arXiv, 2023
Wide heterogeneity exists in cancer patients' survival, ranging from a few months to several decades. To accurately predict clinical outcomes, it is vital to build an accurate predictive model that relates patients' molecular profiles with patients' survival.
arxiv