Results 171 to 180 of about 26,575,973 (337)

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

StatModPredict: A user-friendly R-Shiny interface for fitting and forecasting with statistical models. [PDF]

PLoS One
Bleichrodt A, Phan A, Luo R, Kirpich A, Chowell G.   +4 more
europepmc   +1 more source

Modelling in statistics

Mathematical and Computer Modelling, 1992
openaire   +2 more sources

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

Statistical Model Relating Underwater Acoustic Phase to Environmental Parameters [PDF]

, 1968
Kamal Yacoub
openalex   +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

Statistical models for predicting the number of under-five mortality in Nepal. [PDF]

PLoS One
Bhusal MK, Khanal SP.
europepmc   +1 more source

Visualizing Statistical Thermodynamics: The Boltzmann Distribution Model [PDF]

, 1966
M. V. Sussman
openalex   +1 more source

The influence of ROS1 fusion partners and resistance mechanisms in ROS1‐TKI‐treated non‐small cell lung cancer patients

Molecular Oncology, EarlyView.
This real‐world study of ROS1+ NSCLC highlights fusion diversity, treatment outcomes with crizotinib and lorlatinib, and in vitro experiments with resistance mechanisms. G2032R drives strong resistance to ROS1‐targeted TKIs, especially lorlatinib. Fusion partner location does not affect overall survival to crizotinib or lorlatinib. Findings support the
Fenneke Zwierenga, Christa Dijkhuizen, Patrick Korthuis, Wim Timens, Harry Groen, Jeroen Hiltermann, Anke van den Berg, Lyndsay Drayer, Anthonie van der Wekken   +8 more
wiley   +1 more source

Maxwell Relations in the Statistical Atom Model [PDF]

, 1968
J. J. Gilvarry
openalex   +1 more source