Results 241 to 250 of about 11,154,365 (309)

Combining dynamic generalized linear models and mechanistic modelling to optimize treatment strategies against bovine respiratory disease. [PDF]

Vet Res
Merca C, Sorin-Dupont B, Kristensen AR, Picault S, Assié S, Ezanno P.   +5 more
europepmc   +1 more source

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

Broken adaptive ridge method for variable selection in generalized partly linear models with application to the coronary artery disease data. [PDF]

J Comput Math Data Sci
Chan C, Dai X, Chekouo T, Long Q, Lu X.
europepmc   +1 more source

Inhibition of cyclin‐dependent kinases 12/13 using CT7439 as a treatment for colorectal cancer with CDK12 upregulation

Molecular Oncology, EarlyView.
The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington, Divya L. Dayanidhi, Mohammad Zokaasadi, John B. Mantyh, Pelumi D. Olawuni, Gabrielle Rupprecht, Jeremy M. Force, Shannon McCall, Ashwani K. Bahl, David S. Hsu, Jason A. Somarelli   +10 more
wiley   +1 more source

Validation of federated analytics across secure data environments: A comparative study of synthetic healthcare datasets using machine learning and general linear models. [PDF]

Digit Health
Gallier S, Topham A, Hodson J, McNulty D, Giles TC, Cox S, Chaganty MJ, Cooper L, Perks S, Quinlan PR, Sapey E.   +10 more
europepmc   +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

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates. [PDF]

J R Stat Soc Ser C Appl Stat
Sondhi A, Cheng S, Shojaie A.
europepmc   +1 more source

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

Modelling child anaemia and co-existing infections using log-linear models. [PDF]

Malar J
Kakaire G, Kerich G, Too R, Kosgei M.
europepmc   +1 more source

Enhancing insight into regional differences: hierarchical linear models in multiregional clinical trials. [PDF]

BMC Med Res Methodol
Kim J, Kang SH.
europepmc   +1 more source