Results 121 to 130 of about 31,003,301 (345)

Flow Enabled Target Capture Halbach‐based magnetic enrichment increases circulating tumor cell capture from blood in metastatic cancer patients

Molecular Oncology, EarlyView.
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens, Anouk Mentink, Tom Niessink, Frank Coumans, Leonie Mekenkamp, Ruchi Bansal, Jeroen Hiltermann   +6 more
wiley   +1 more source

A Reinforcement Learning Approach for Graph Rule Learning [PDF]

Big Data Mining and Analytics
We study the problem of learning rules for graphs. Traditional methods often suffer from large search spaces due to the enumeration of all candidate rules. Although some recent neural logic methods are more efficient in learning rules, they are generally restricted to learning chain-like rules with limited expressiveness.
Mai, Zhenzhen, Wang, Wenjun, Liu, Xueli, Feng, Xiaoyang, Wang, Jun, Fu, Wenzhi   +5 more
openaire   +3 more sources

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

Prediction of Students’ Use and Acceptance of Clickers by Learning Approaches: A Cross-Sectional Observational Study

Education Sciences, 2017
The student response system (a.k.a clickers) had been widely used in classrooms for various pedagogical purposes these years. However, few of the studies examine students learning approaches toward both technology and engagement.
Kelvin Wan, George Cheung, Kevin Chan
doaj   +1 more source

Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches

International Journal of Molecular Sciences, 2020
A growing body of evidence now suggests that precision psychiatry, an interdisciplinary field of psychiatry, precision medicine, and pharmacogenomics, serves as an indispensable foundation of medical practices by offering the accurate medication with the
E. Lin, Chieh-Hsin Lin, Hsien-Yuan Lane
semanticscholar   +1 more source

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

Partial FAK suppression promotes tumor growth, an effect reversed by macrophage p110δ PI3K inactivation

Molecular Oncology, EarlyView.
Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou, Niki Tzenaki, Anna Tsapara, Maria Tzardi, Evangelia A. Papakonstanti   +4 more
wiley   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Mapping the Use of Active Learning Approaches at the University of Padova [PDF]

Considering the growing recommendation for the implementation of active learning practices in higher education, we have conducted a mapping study of the current practices and approaches used by teachers of undergraduate and integrated master's courses at
Lorenzo Rocco, Federica Perini, Ettore Bolisani, Paola Mezzalira, Laura Schiavon, Paolo Carletti, Francesca Crudele, Juliana Elisa Raffaghelli, Concetta Tino, Marina De Rossi, Marco Bertoni, Cristina Stocco, Alberto Antonello   +12 more
core  

How Students’ Views on Educational Factors Influence Their Achievement Motivation and Learning Approaches? Comparison of Perspectives [PDF]

International Journal of Agricultural Management and Development, 2018
This comparative study was conducted to explore achievement motivation and learning approaches of agricultural students and to examine students’ views on educational factors influencing their achievement motivation and learning approaches.
Mahtab Pouratashi, Chang Zhu
doaj