Effectiveness of machine learning models in diagnosis of heart disease: a comparative study. [PDF]
Alsabhan W, Alfadhly A.
europepmc +1 more source
Single‐cell transcriptomics of prostate cancer patient‐derived xenografts reveals distinct features of neuroendocrine (NE) subtypes. Tumours with focal NE differentiation (NED) share transcriptional programmes with adenocarcinoma, differing from large and small cell neuroendocrine prostate cancer (NEPC). Our work defines the molecular landscape of NEPC,
Rosalia Quezada Urban+12 more
wiley +1 more source
Scaling laws of bacterial and archaeal plasmids. [PDF]
Maddamsetti R+7 more
europepmc +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik+4 more
wiley +1 more source
Robust Estimation of Earthquake Magnitude in Indonesia Using PGD Scaling Law from Regional High-Rate GNSS Data. [PDF]
Hardy T+11 more
europepmc +1 more source
CI. On Mr. L
John Farey
openalex +1 more source
Microglia (BV2) and IL‐4‐treated BMDMs promote astrocytoma clustering and inhibit tumor growth, not shown in other macrophage cells. In vivo, microglial co‐implantation enhances CD8+ T cell infiltration, elevates Granzyme B, lowers circulating MDSCs, and extends survival only in immune‐competent mice, but not in immune‐deficient mice.
Tzu‐Chieh Sun+5 more
wiley +1 more source
chemtrain-deploy: A Parallel and Scalable Framework for Machine Learning Potentials in Million-Atom MD Simulations. [PDF]
Fuchs P, Chen W, Thaler S, Zavadlav J.
europepmc +1 more source