Results 71 to 80 of about 644,997 (352)

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

A Distributed Particle Swarm Optimization Zlgorithmfor Flexible Job-hop Scheduling Problem

Journal of Harbin University of Science and Technology, 2017
According to the characteristics of the Flexible job shop scheduling problem the minimum makespan as measures we proposed a distributed particle swarm optimization algorithm aiming to solve flexible job shop scheduling problem.
LIU Sheng--hui , REN Juan , ZHANG Shu-Li   +2 more
doaj   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Multi-objective particle swarm optimization for channel selection in brain-computer interfaces [PDF]

, 2009
This paper presents a novel application of a multi-objective particle swarm optimization (MOPSO) method to solve the problem of effective channel selection for Brain-Computer Interface (BCI) systems.
Gan, JQ, Hasan, BAS
core  

SOLVING CONVEX AND NON-CONVEX STATIC AND DYNAMIC ECONOMIC DISPATCH PROBLEMS USING HYBRID PARTICLE MULTI-SWARM OPTIMIZATION

, 2017
Original scientific paper Economic Load Dispatch problem has been previously solved successfully with swarm techniques. However, power systems with complex behaviours still await a robust algorithm to be developed for their optimization more precisely ...
A. Nawaz, E. Mustafa, N. Saleem, M. I. Khattak, M. Shafi, Abdul Malik   +5 more
semanticscholar   +1 more source

Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting

Molecular Oncology, EarlyView.
CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia, Noelia Moares, Wenjie Yi‐He, Rosa Luna‐Espejo, Ricardo Fernandez‐Cisnal, Javier Ocaña‐Cuesta, Juan P. Muñoz‐Miranda, Antonio Gabucio, Cecilia M. Fernandez‐Ponce, Francisco Garcia‐Cozar   +9 more
wiley   +1 more source

Particle Swarm Optimizers for Pareto Optimization with Enhanced Archiving Techniques [PDF]

, 2003
During the last decades, numerous heuristic search methods for solving multi-objective optimization problems have been developed. Population oriented approaches such as evolutionary algorithms and particle swarm optimization can be distinguished into the
Bartz-Beielstein, Thomas, Limbourg, Philipp, Mehnen, Jörn, Parsopoulos, Konstantinos E., Schmitt, Karlheinz, Vrahatis, Michael N.   +5 more
core  

A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation

, 2013
In the field of image analysis, segmentation is one of the most important preprocessing steps. One way to achieve segmentation is by mean of threshold selection, where each pixel that belongs to a determined class islabeled according to the selected ...
Cuevas, Erik, Osuna-Enciso, Valentín, Sossa, Humberto   +2 more
core   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

Multi-target Tracking Algorithm Based on Improved Simplified Particle Swarm Optimization [PDF]

Jisuanji gongcheng, 2016
Based on the connection of occlusion problem in multi-target tracking and social interaction model,an improved Simplified particle Swarm Optimization(SSO) algorithm of multi-group social model with inter-group dynamic information is proposed,which is ...
CHENG Xianbao
doaj   +1 more source