Results 111 to 120 of about 19,863,493 (281)

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

Mechanistic framework for reduced-order models in soft materials: Application to three-dimensional granular intrusion. [PDF]

Proc Natl Acad Sci U S A, 2023
Agarwal S, Goldman DI, Kamrin K.
europepmc   +1 more source

Cancer‐associated mutations in endometriosis reframe a benign disease through molecular oncology

Molecular Oncology, EarlyView.
This review aims to comprehensively analyse cancer‐associated somatic mutations (CAMs) present in endometriotic lesions, emphasizing their biological roles, spatial distribution and implications for translational applications in medicine. By contextualizing a benign state within a genomic framework, this analysis seeks to establish its value as a ...
Clarissa Mujacic, Maria Concetta Vitale, Rita Siino, Emilia Di Giovanni, Carla Ferrante Bannera, Enrico Di Marco, Andrea Gottardo, Tancredi Didier Bazan Russo, Nadia Barraco, Alessandro Perez, Valerio Gristina, Antonio Galvano, Giuseppe Badalamenti, Antonio Russo, Viviana Bazan, Lorena Incorvaia   +15 more
wiley   +1 more source

Parametric Generation of Datasets for the Creation of Reduced Order Models of Rubber-Metal Elements

Journal of Mechanical Engineering
The work deals with the parametric generation of datasets, which are used for creation of reduced order models (ROM) of rubber-metal elements (RME). First chapter describes the standard development process and advantages of implementing ROM into this ...
Danko Ján, Dobrovolný Juraj, Magdolen Ľuboš, Milesich Tomáš, Kevický Igor, Bernáth Martin, Nemec Tomáš   +6 more
doaj   +1 more source

Characterizing Wake Behavior of Adaptive Aerodynamic Structures Using Reduced-Order Models

Energies
In recent times, blades that have the ability to change shape passively or actively have garnered interest due to their ability to optimize blade performance for varying flow conditions.
Kyan Sadeghilari, Aditya Atre, John Hall
doaj   +1 more source

A Simple Matlab Code for Material Design Optimization Using Reduced Order Models. [PDF]

Materials (Basel), 2022
Kazakis G, Lagaros ND.
europepmc   +1 more source

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

Automated generation of 0D and 1D reduced-order models of patient-specific blood flow. [PDF]

Int J Numer Method Biomed Eng, 2022
Pfaller MR, Pham J, Verma A, Pegolotti L, Wilson NM, Parker DW, Yang W, Marsden AL.   +7 more
europepmc   +1 more source

From data to reduced-order models via moment matching [PDF]

A new method for data-driven interpolatory model reduction for discrete-time systems is presented in this paper. Using the so-called data informativity perspective, we define a framework that enables the computation of moments at given (possibly complex)
Besselink, Bart; id_orcid, Camlibel, M. Kanat, Burohman, Azka M.; id_orcid, Scherpen, Jacquelien M. A.   +3 more
core   +1 more source

Somatostatin receptor 4 (SSTR4) is a tumor suppressor in cutaneous and head & neck squamous cell carcinomas

Molecular Oncology, EarlyView.
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi, Tuan Khang Huynh, Adway Kadam, Zahra Kardan, Yue Yan, Amina Jamal Laham, Sampath Kumar Loganathan   +6 more
wiley   +1 more source