Results 131 to 140 of about 1,345,772 (312)
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi+2 more
wiley +1 more source
Adaptive Optimal Signal (Cardiogram) Processing, with boundary values and energy precisely measurement [PDF]
We construct an adaptive asymptotically optimal in order in the weight Hilbert space norms signal denoising on the background noise and its energy measurement, with hight precision near the boundary of the signal. An offered method used the Fourier-Riesz expansion on the orthonormal polynomials, for instance, Jacobi's polynomials, relative unbounded ...
arxiv
This study reports the upregulation of ELMO1 and GPR141 in human Fuchs' endothelial corneal dystrophy (FECD) corneal endothelium and ultraviolet A‐induced FECD mice model. A genetic association of an intergenic single nucleotide polymorphism rs918980 present between both genes is observed with FECD in the Indian population.
Susmita Sharma+3 more
wiley +1 more source
Multiple sclerosis clinical decision support system based on projection to reference datasets
Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch+13 more
wiley +1 more source
Mapping Hsp104 interactions using cross‐linking mass spectrometry
This study examines how cross‐linking mass spectrometry can be utilized to analyze ATP‐induced conformational changes in Hsp104 and its interactions with substrates. We developed an analytical pipeline to distinguish between intra‐ and inter‐subunit contacts within the hexameric homo‐oligomer and discovered contacts between Hsp104 and a selected ...
Kinga Westphal+3 more
wiley +1 more source
Alkane biosynthesis gene expression and its increased production in recombinant cyanobacteria
The transcription and mRNA structures of the alkane biosynthesis genes ado/aar were analysed in the representative cyanobacteria PCC 6803 and SK1‐2‐1, which produce C17H36 and C15H32, respectively. PCC 6803 transconjugants carrying these genes showed a 1.8‐ to 2.3‐fold increase in C17H36 production.
Misato Nagao+4 more
wiley +1 more source
T2DM is characterized by peripheral blood insulin resistance and progressive pancreatic β‐cell dysfunction. Here, we showed that AQP7, the only aquaglyceroporin protein, regulates autophagy and apoptosis in pancreatic β‐cells. We propose the existence of a positive feedback loop between MAPK signaling and AQP7 that regulates autophagy and apoptosis in ...
Maoqi Wang+5 more
wiley +1 more source
The C. elegans tetraspanin‐7 (tsp‐7) is a homologue of human CD63, which is a negative regulator of autophagy. The C. elegans strain, tm5761, has a dysfunctional (knockout) tsp‐7 gene. When compared to the wild‐type strain, the tm5761 strain shows increased: life‐ and health‐span; thermotolerance, and stress‐induced locomotion.
Brogan Jones+2 more
wiley +1 more source
SigDLA: A Deep Learning Accelerator Extension for Signal Processing [PDF]
Deep learning and signal processing are closely correlated in many IoT scenarios such as anomaly detection to empower intelligence of things. Many IoT processors utilize digital signal processors (DSPs) for signal processing and build deep learning frameworks on this basis.
arxiv