Results 71 to 80 of about 624,937 (366)
This study reveals how prime editing guide RNA (pegRNA) secondary structure and reverse transcriptase template length affect prime editing efficiency in correcting the phospholamban R14del cardiomyopathy‐associated mutation. Insights support the design of structurally optimized enhanced pegRNAs for precise gene therapy.
Bing Yao+7 more
wiley +1 more source
Hydraulic device provides accurate displacements to microinches [PDF]
Hydraulic drive device translates microinch deviation measurements into precise corrective displacements.
Tsutsumi, K.
core +1 more source
Non-extensive resonant reaction rates in astrophysical plasmas
We study two different physical scenarios of thermonuclear reactions in stellar plasmas proceeding through a narrow resonance at low energy or through the low energy wing of a wide resonance at high energy.
29+8 more
core +1 more source
Cyclic nucleotide signaling as a drug target in retinitis pigmentosa
Disruptions in cGMP and cAMP signaling can contribute to retinal dysfunction and photoreceptor loss in retinitis pigmentosa. This perspective examines the mechanisms and evaluates emerging evidence on targeting these pathways as a potential therapeutic strategy to slow or prevent retinal degeneration.
Katri Vainionpää+2 more
wiley +1 more source
Comparison of breath quality in COVID-19 patients with kyphosis and without kyphosis [PDF]
Introduction: One of the problems caused by COVID-19 is decreased lung function and muscle weakness. Excessive increase in the curvature of the thoracic spine is known as a kyphosis deformity.
Zahra Hormati+3 more
doaj
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
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
Totally Corrective Multiclass Boosting with Binary Weak Learners [PDF]
In this work, we propose a new optimization framework for multiclass boosting learning. In the literature, AdaBoost.MO and AdaBoost.ECC are the two successful multiclass boosting algorithms, which can use binary weak learners.
Barnes, Nick+3 more
core
Tuberculosis remains a global health challenge and new therapeutic targets are required. Here, we characterized SseA, a sulfurtransferase from Mycobacterium tuberculosis involved in macrophage infection, and its interaction with the newly identified protein SufEMtb that activates SseA enzymatic activity.
Giulia Di Napoli+10 more
wiley +1 more source