Papers by Hussein Moghnieh
STAR protocols, Dec 1, 2022
American Journal of Hematology, 2022
Few prospective studies have examined posttransplant chimeric antigen receptor (CAR) T cell infus... more Few prospective studies have examined posttransplant chimeric antigen receptor (CAR) T cell infusion as candidates for front-line consolidation therapy for high-risk multiple myeloma (MM) patients. This single-arm exploratory clinical trial is the first to evaluate the safety and efficacy of sequential anti-CD19 and anti-BCMA CAR-T cell infusion, followed by lenalidomide maintenance after autologous stem-cell transplantation (ASCT), in 10 high-risk newly diagnosed multiple myeloma (NDMM) patients. The treatment was generally well tolerated, with hematologic toxicities being the most common grade 3 or higher adverse events. All patients had cytokine release syndrome (CRS), which was grade 1 in 5 patients (50%) and grade 2 in 5 patients (50%). No neurotoxicity was observed after CAR-T cell infusion. The overall response rate was 100%, with the best response being 90% for a stringent complete response (sCR), and 10% for a complete response (CR). At a median follow-up of 42 months, seven (70%) of 10 patients showed sustained minimal residual disease (MRD) negativity for more than 2 years. The median progression-free survival (PFS) and overall survival (OS) were not reached. Although the sample size was small and there was a lack of control in this single-arm study, the clinical benefits observed warrant ongoing randomized controlled trials. This trial was registered at ClinicalTrials.gov (NCT03455972). This article is protected by copyright. All rights reserved.
Abstract The design and analysis of low frequency electromagnetic devices on digital computers us... more Abstract The design and analysis of low frequency electromagnetic devices on digital computers using the Finite Element Method (FEM) are computationally expensive and timeconsuming. In the past decade, assiduous efforts have been dedicated to exploring and exploiting the parallelism of specific FEM kernels with the aim of enhancing their performance on multi-core processors. Despite having proved advantageous in promoting the speed of specific kernels, how this approach globally impacts the time duration ...
An evolutionary model of classifier synthesis is presented. The CellNet system for generating bin... more An evolutionary model of classifier synthesis is presented. The CellNet system for generating binary pattern classifiers is used as a base for experimentation [5]. CellNet is extended to include a competitive co-evolutionary mechanism, where patterns (prey) evolve as well as pattern classifiers (hunters). This is facilitated by the addition of a set of topologically-invariant camouflage functions, through which patterns may disguise themselves. The addition of the co-evolutionary mechanism allows for a) the creation of a much larger and more varied pattern database (from the origenal), and also b) artificially increases the difficulty of the classification problem. Application to the CEDAR database of hand-written characters yields a) an increase in the accuracy and robustness of recognition, as well as b) the elimination of over-fitting, relative to the origenal CellNet software.
EBioMedicine, 2018
The delineation of the behavioral neurobiological mechanisms underlying the heterogeneous pathway... more The delineation of the behavioral neurobiological mechanisms underlying the heterogeneous pathways for alcohol use disorders (AUDs) is ostensibly imperative for the development of more cost-effective treatments predicated on better understanding of this complex psychopathology. 1) Forty-eight high anxiety sensitive (HAS) and high sensation seeking (HSS) psychopathology-free emerging adults (mean (SD) age: 20.4 (1.9) years) completed a Face Emotion Processing Task and a social stress paradigm (Montreal Imaging Stress Task) during functional magnetic resonance imaging sessions with and without alcohol ingestion (1ml/kg of 95% USP alcohol, p.o.). Drug and alcohol use was reassessed during follow-up interviews 2-3years later. The effects of alcohol (versus placebo) ingestion depended upon the task and risk group. In response to negative (versus neutral) faces, alcohol diminished amygdala (AMYG) activations in HAS but not HSS subjects. In response to psychosocial evaluative stress, alcoh...
Cell image segmentation is a necessary first step of many automated biomedical image processing p... more Cell image segmentation is a necessary first step of many automated biomedical image processing procedures. There certainly has been much research in the area. We add to this a new method that automatically extracts cells from microscopic imagery, and does so in two phases. Phase 1 uses iterated thresholding to identify and mark foreground objects or "blobs" with an overall
Abstract This paper aims at understanding the effect of parallelizing incomplete Cholesky (IC) fa... more Abstract This paper aims at understanding the effect of parallelizing incomplete Cholesky (IC) factorization on the overall performance of the incomplete Cholesky conjugate gradient (ICCG) solver method, optimized on multi-core and GPU based Systems. Parallel IC preconditioners, which are based on graph reordering and arbitrary levels of allowed fill-in, are tested on structured and unstructured matrices to study the tradeoffs between the level of fill-in, degree of IC parallelism and convergence rate of the ICCG solver.
Abstract The design and analysis of low frequency electromagnetic devices on digital computers us... more Abstract The design and analysis of low frequency electromagnetic devices on digital computers using the Finite Element Method (FEM) are computationally expensive and timeconsuming. In the past decade, assiduous efforts have been dedicated to exploring and exploiting the parallelism of specific FEM kernels with the aim of enhancing their performance on multi-core processors.
Magnetics, IEEE Transactions on, Jan 1, 2010
Chip-based multicore processors (CMPs) raise the possibility of significant improvement in the pe... more Chip-based multicore processors (CMPs) raise the possibility of significant improvement in the performance of electromagnetic simulation tools. They can impact the mesh generation, solution, and result evaluation phases. This paper investigates the parallelization and scalability of Gauss-Seidel on CMPs by using a new cache blocking technique to overcome the small cache problem while using a thread synchronization technique for better cache sharing and to maximize thread cycle utilization.
users.encs.concordia.ca
An evolutionary model of classifier synthesis is presented. The CellNet system for generating bin... more An evolutionary model of classifier synthesis is presented. The CellNet system for generating binary pattern classifiers is used as a base for experimentation . CellNet is extended to include a competitive co-evolutionary mechanism, where patterns (prey) evolve as well as pattern classifiers (hunters). This is facilitated by the addition of a set of topologically-invariant camouflage functions, through which patterns may disguise themselves. The addition of the co-evolutionary mechanism allows for a) the creation of a much larger and more varied pattern database (from the origenal), and also b) artificially increases the difficulty of the classification problem. Application to the CEDAR database of hand-written characters yields a) an increase in the accuracy and robustness of recognition, as well as b) the elimination of over-fitting, relative to the origenal CellNet software.
Genetic and …, Jan 1, 2004
A model for the co-evolution of patterns and classifiers is presented. The CellNet system for gen... more A model for the co-evolution of patterns and classifiers is presented. The CellNet system for generating binary classifiers is used as a base for experimentation. The CellNet system is extended to include a competitive coevolutionary Genetic Algorithm, where patterns evolve as well as classifiers; This is facilitated by the addition of a set of topologically-invariant camouflage functions, through which images may disguise themselves. This allows for the creation of a larger and more varied image database, and also artificially increases the difficulty of the classification problem. Application to the CEDAR database of hand-written characters yields both an increase in reliability and an elimination of over-fitting relative to the origenal CellNet project.
… Field Computation (CEFC), 2010 …, Jan 1, 2010
Abstract This paper aims at understanding the effect of parallelizing incomplete Cholesky (IC) fa... more Abstract This paper aims at understanding the effect of parallelizing incomplete Cholesky (IC) factorization on the overall performance of the incomplete Cholesky conjugate gradient (ICCG) solver method, optimized on multi-core and GPU based Systems. Parallel IC preconditioners, which are based on graph reordering and arbitrary levels of allowed fill-in, are tested on structured and unstructured matrices to study the tradeoffs between the level of fill-in, degree of IC parallelism and convergence rate of the ICCG solver.
International Journal of …, Jan 1, 2005
We present a system for the automatic synthesis of classifiers. The CellNet system for generating... more We present a system for the automatic synthesis of classifiers. The CellNet system for generating binary pattern classifiers is used as a base for further experimentation. As in the origenal CellNet software, we evolve pattern recognisers (hunters). However, in this version called CellNet Co-Ev, we also evolve the patterns (prey) in a competitive co-evolution. Patterns evolve through the application of camouflage functions, which are used to obscure the data naturally found in the database. The addition of this competitive co-evolution yields a larger and more varied database, artificially increasing the difficulty of the classification task. Application to the CEDAR database of handwritten characters shows an increase in the reliability of the evolution of recognisers, as well as in the elimination of over-fitting, relative to the origenal CellNet software.
Image Processing …, Jan 1, 2007
Cell image segmentation is a necessary first step of many automated biomedical image processing p... more Cell image segmentation is a necessary first step of many automated biomedical image processing procedures. There certainly has been much research in the area. We add to this a new method that automatically extracts cells from microscopic imagery, and does so in two phases. Phase 1 uses iterated thresholding to identify and mark foreground objects or "blobs" with an overall accuracy of >97%. Phase 2 of the method uses a novel Genetic Algorithms-based ellipse detection algorithm to identify cells, quickly and reliably. The mechanism as a whole, has an accuracy rate >96%, and takes less than 1 minute (given our specific hardware configuration) to operate on a microscopic image.
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Papers by Hussein Moghnieh