Results 51 to 60 of about 2,677,577 (337)
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
Thermal Memory: A Storage of Phononic Information [PDF]
5 pages, 3 figures,
Lei Wang, Lei Wang, Baowen Li
openaire +4 more sources
Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer
mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia+17 more
wiley +1 more source
Pure polycyclic aromatic hydrocarbons (PAHs) consisting solely of carbon‐hydrogen or carbon‐carbon bonds offer great potential for constructing durable and cost‐effective emitters in organic electroluminescence devices.
Haoxin Huang+6 more
doaj +1 more source
Student performance prediction (SPP) aims to evaluate the grade that a student will reach before enrolling in a course or taking an exam. This prediction problem is a kernel task toward personalized education and has attracted increasing attention in the
Yupei Zhang+11 more
doaj +1 more source
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin+14 more
wiley +1 more source
Local active information storage as a tool to understand distributed neural information processing
Every act of information processing can in principle be decomposed into the component operations of information storage, transfer, and modification. Yet, while this is easily done for today’s digital computers, the application of these concepts to neural
Michael eWibral+4 more
doaj +1 more source
Controllable synthesis of high‐performance materials with low‐cost is critical for the development of functional devices. Herein, a series of sequence‐controlled low‐dispersity oligomers with acid–base chromotropic capability via simple copolymerization ...
Congcong Zhai+6 more
doaj +1 more source
Organic push-pull systems featuring through-space charge transfer (TSCT) excited states have been disclosed to be capable of exhibiting thermally activated delayed fluorescence (TADF), but to realize high-efficiency long-wavelength emission still remains
Chenglin Jiang+5 more
doaj +1 more source
Noise in Brillouin based information storage
We theoretically and numerically study the efficiency of Brillouin-based opto-acoustic data storage in a photonic waveguide in the presence of thermal noise and laser phase noise. We compare the physics of the noise processes and how they affect different storage techniques, examining both amplitude and phase storage schemes. We investigate the effects
Oscar A. Nieves+4 more
openaire +5 more sources