Loss of Stat3 in Prx1+ Progenitors Impairs Molar Root Development
Stat3 critically regulates mandibular first molar and alveolar bone morphogenesis. Conditional ablation of Stat3 disrupts the osteogenic capacity of Prx1+ mesenchymal progenitors, as evidenced across in vivo and in vitro models. Abstract Signal Transducer and Activator of Transcription 3 (Stat3) acts as a central transcriptional modulator coordinating ...
Xin Feng +10 more
wiley +1 more source
A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study
Although aging is the most important risk factor for several neurodegenerative diseases, the molecular effects of physiological aging are still understudied. By applying spatially‐resolved proteomic analyses of the human substantia nigra pars compacta, alterations in vesicular trafficking and mitochondrial proteins are observed, as well as reduced ...
Britta Eggers +10 more
wiley +1 more source
Biologically plausible unsupervised learning in shallow and deep neural networks
Bernd Illing
openalex +2 more sources
A neural network trained for prediction mimics diverse features of biological neurons and perception
William Lotter +2 more
semanticscholar +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
Background: Over the past few decades, micro ribonucleic acids (miRNAs) have been shown to play significant roles in various biological processes, including disease incidence.
Jihwan Ha
doaj +1 more source
Biological neural networks as model systems for designing future parallel processing computers [PDF]
One of the more interesting debates of the present day centers on whether human intelligence can be simulated by computer. The author works under the premise that neurons individually are not smart at all.
Ross, Muriel D.
core +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Biological Knowledge Graph-Enhanced Cancer State Prediction Network with Adjustable Connections
With recent advances in oncology research, effectively utilizing patient genomic data to predict cancer status has become a significant challenge. Although previous deep learning methods based on biological knowledge have made progress, they still face ...
Yuhan Liu +4 more
doaj +1 more source
Microscale 3D Printed Pillars and Porous Polymeric Structures: Manufacturability and Micromechanics
This work demonstrates how two‐photon polymerization enables the fabrication of microscale solid and porous structures from IP‐Q, IP‐S, and IP‐PDMS resins. Combining morphological and mechanical characterization, the study provides the first systematic insights into IP‐Q mechanics and reveals how processing parameters affect structure and stiffness ...
Aikaterini Isaakidou +12 more
wiley +1 more source

