Results 31 to 40 of about 24,115,596 (260)

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

Pediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz, Se Whee Sammy Park, Aironas Los, Ernest Liu, Nona Struyf, Tom Erkers, Sören Lehmann, Jan J. Molenaar, Jakob Stenman, Olli Kallioniemi, Päivi Östling, Brinton Seashore‐Ludlow, Kasper Karlsson   +12 more
wiley   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

Investigating static and sequential models for intervention-free selection using multimodal data of EEG and eye tracking

, 2022
Art. 7, 6 S.Multimodal data is increasingly used in cognitive prediction models to better analyze and predict different user cognitive processes. Classifiers based on such data, however, have different performance characteristics.
Schultz, T., Beyerer, Jürgen, Salous, M., Putze, F., Hild, Jutta   +4 more
core   +1 more source

Model for Determining the Psycho-Emotional State of a Person Based on Multimodal Data Analysis

Applied Sciences
The paper aims to develop an information system for human emotion recognition in streaming data obtained from a PC or smartphone camera, using different methods of modality merging (image, sound and text).
Nataliya Shakhovska, Oleh Zherebetskyi, Serhii Lupenko   +2 more
doaj   +1 more source

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

On the Role of Multimodal Communication in Telesurgery Systems [PDF]

, 2009
Telesurgery systems integrate multimodal communication and robotic technologies to enable surgical procedures to be performed from remote locations. They allow human surgeons to intuitively control laparoscopic instruments and to navigate within the ...
Hirzinger, Gerd, Iason Vittorias, Bauernschmitt, Robert, Gerhard Schillhuber, Andreas Tobergte, Fröhlich, Florian, Staub, Christoph, Gerhard Hirzinger, Christoph Staub, Braun, Eva U., Sandra Hirche, Eva U. Braun, Eckehard Steinbach, Knoll, Alois, Tobergte, Andreas, Markus Rank, Buss, Martin, Rudiger Lange, Steinbach, Eckehard, Ulbrich, Heinz, Bernhard Kubler, Heinz Ulbrich, Schillhuber, Gerhard, Martin Buss, Mayer, Hermann, Zhao, Chen, Rainer Konietschke, Robert Bauernschmitt, Alois Knoll, Kübler, Bernhard, Rank, Markus, Vittorias, Iason, Julius Kammerl, Kammerl, Julius, Hermann Mayer, Lange, Rüdiger, Chen Zhao, Florian Frohlich, Hirche, Sandra, Konietschke, Rainer   +39 more
core   +1 more source

Multimodal Data-Driven Prediction of PEMFC Performance and Process Conditions Using Deep Learning

IEEE Access
The proton-exchange membrane fuel cell (PEMFC) is one of the important technologies advancing sustainable energy. However, predicting its performance and optimizing processes is challenging due to the complexity of integrating various types of data with ...
Seoyoon Shin, Jiwon Kim, Seokhee Lee, Tae Ho Shin, Ga-Ae Ryu   +4 more
doaj   +1 more source

Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks

Sensors, 2019
This study investigated to what extent multimodal data can be used to detect mistakes during Cardiopulmonary Resuscitation (CPR) training. We complemented the Laerdal QCPR ResusciAnne manikin with the Multimodal Tutor for CPR, a multi-sensor system ...
Daniele Di Mitri, Jan Schneider, Marcus Specht, Hendrik Drachsler   +3 more
doaj   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Multimodal biometrics score level fusion using non-confidence information [PDF]

, 2011
Multimodal biometrics refers to automatic authentication methods that depend on multiple modalities of measurable physical characteristics. It alleviates most of the restrictions of single biometrics.
Chaw Poh, C
core