Results 81 to 90 of about 3,006,553 (325)
Timing the initiation of multiple myeloma
The initial mutational processes and how these lead to progression in multiple myeloma (MM) are unclear. Here, the authors identify mutational signatures that occur over time in a large cohort of MM patients and suggest features that may help in early ...
Even H. Rustad+25 more
doaj +1 more source
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu+17 more
wiley +1 more source
Three distinct hematological malignancies from a single germ cell tumor: a case report
Background The association between non seminomatous germ cell tumors (GCTs) and hematological malignancies of rare lineage has been described in the literature.
M. Spencer Chapman+3 more
doaj +1 more source
Repeatability of evolution on epistatic landscapes
Evolution is a dynamic process. The two classical forces of evolution are mutation and selection. Assuming small mutation rates, evolution can be predicted based solely on the fitness differences between phenotypes.
Bauer, Benedikt, Gokhale, Chaitanya S.
core +1 more source
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria+3 more
wiley +1 more source
Background Jewel orchid is the common name of several orchid species which can be alike in morphological characteristics, but variable in medicinal properties.
Viet The Ho+3 more
doaj +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan+2 more
wiley +1 more source
Knowing how proteases recognise preferred substrates facilitates matching proteases to applications. The S1′ pocket of protease EA1 directs cleavage to the N‐terminal side of hydrophobic residues, particularly leucine. The S1′ pocket of thermolysin differs from EA's at only one position (leucine in place of phenylalanine), which decreases cleavage ...
Grant R. Broomfield+3 more
wiley +1 more source
A Model to Estimate First-Order Mutation Coverage from Higher-Order Mutation Coverage
The test suite is essential for fault detection during software development. First-order mutation coverage is an accurate metric to quantify the quality of the test suite. However, it is computationally expensive.
Demeyer, Serge+2 more
core +1 more source