Results 61 to 70 of about 3,015,526 (334)

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Quantum superconductor-metal transition

, 2000
We consider a system of superconducting grains embedded in a normal metal. At zero temperature this system exhibits a quantum superconductor-normal metal phase transition.
A. Zyuzin, A.A. Abrikosov, A.F. Andreev, A.F. Hebard, A.M. Finkelshtein, A.M. Finkelshtein, A.O. Caldeira, B. Spivak, B.G. Orr, E. Abrahams, E. Simanek, F. Zhou, J.A. Chervenak, J.M. Valles, K. Efetov, K. Maki, L.G. Aslamasov, L.P. Gorkov, M. Hruska, M.P.A. Fisher, M.P.A. Fisher, M.V. Feigelman, N. Mason, P.G. De Gennes, S. Chakravarty, Shih-Ying Hsu, V.J. Emery   +26 more
core   +1 more source

Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology

Molecular Oncology, EarlyView.
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts, Senada Koljenović, Elise Daems, Karolien De Wael, Marc Peeters, Léon C. van Kempen, Greetje Vanhoutte, Karen Zwaenepoel, Timon Vandamme   +8 more
wiley   +1 more source

Research on the Prediction-Based Clustering Method in the Community of Medical Vehicles for Connected Health

IEEE Access, 2019
Combined with the Internet of Vehicles, some intelligent systems for connected health can make medical vehicles transport medical supplies more safely and timely in response to catastrophic natural disasters or serious accidents.
Jiujun Cheng, Qi Ma, Runshen Yu, Chunmei Liu, Ding Cheng, Shangce Gao, Zhenhua Huang   +6 more
doaj   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Integrating power flow modelling with building simulation [PDF]

, 2001
The inclusion of photovoltaic facades and other local sources of both heat and power within building designs has given rise to the concept of embedded generation: where some or all of the heat and power demands are produced close to the point of use ...
Clarke, J.A., Kelly, N.J.
core   +1 more source

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

Molecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian, Sriraam Sivachandran, Melissa Galati, Brandon Ramchatesingh, Hibo Rijal, Johnny Hanna, Elena Netchiporouk, May Chergui, Margaret Redpath, Samy Abou Setah, Ivan V. Litvinov   +10 more
wiley   +1 more source

Traffic Flow Data Prediction Using Residual Deconvolution Based Deep Generative Network

IEEE Access, 2019
Traffic flow prediction is quite crucial for estimating the future traffic states, efficient and accurate prediction models greatly contribute to the smooth traffic of road networks.
Di Zang, Yang Fang, Zhihua Wei, Keshuang Tang, Jiujun Cheng   +4 more
doaj   +1 more source

Capturing Assumptions while Designing a Verification Model for Embedded Systems [PDF]

, 2007
A formal proof of a system correctness typically holds under a number of assumptions. Leaving them implicit raises the chance of using the system in a context that violates some assumptions, which in return may invalidate the correctness proof.
Mader, A.H., Marincic, J., Wieringa, R.J.   +2 more
core   +1 more source

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