Results 311 to 320 of about 2,469,178 (365)

Advances in Electrical Materials for Bone and Cartilage Regeneration: Developments, Challenges, and Perspectives

Advanced Science, EarlyView.
This review explores the challenges of treating bone and cartilage defects, emphasizing the role of endogenous electric fields in bone and cartilage regeneration. It highlights recent advancements in electroactive biomaterials, including nanogenerators, piezoelectric materials, triboelectric scaffold, and zwitterionic hydrogels.
Yubin Yao, Xi Cui, Shenglong Ding, Ketao Wang, Mingzhu Zhang   +4 more
wiley   +1 more source

Comment on 'Artificial Neural Network Inference Analysis Identified Novel Genes and Gene Interactions Associated With Skeletal Muscle Aging' by Tarum et al. [PDF]

J Cachexia Sarcopenia Muscle
Zheng JL, Chen XY, Li YK, Liu HW.
europepmc   +1 more source

Implantable Self‐Powered Systems for Electrical Stimulation Medical Devices

Advanced Science, EarlyView.
In this paper, the design strategy and clinical application of ISS are discussed in depth from four aspects: the design and optimization of the energy collection module, the selection and preparation of adaptive electrode materials, the innovation of system design strategy, and the biological effect of electrical stimulation of ISS.
Xi Cui, Li Wu, Chao Zhang, Zhou Li
wiley   +1 more source

Predictive model of in-hospital mortality in liver cirrhosis patients with hyponatremia: an artificial neural network approach. [PDF]

Sci Rep
Bai Z, Yin Y, Xu W, Cheng G, Qi X.
europepmc   +1 more source

MEA‐seqX: High‐Resolution Profiling of Large‐Scale Electrophysiological and Transcriptional Network Dynamics

Advanced Science, EarlyView.
How can we fully understand brain function and disease without uncovering the causal coordination between molecular and neural activity across space and time? MEA‐seqX tackles this challenge by integrating advanced electrophysiology, spatial transcriptomics, and artificial intelligence predictions, revealing multiscale dynamics.
Brett Addison Emery, Xin Hu, Diana Klütsch, Shahrukh Khanzada, Ludvig Larsson, Ionut Dumitru, Jonas Frisén, Joakim Lundeberg, Gerd Kempermann, Hayder Amin   +9 more
wiley   +1 more source

"Synthetic Map": A Graphic Organizer Inspired by Artificial Neural Network Paradigms for Learning Organic Synthesis. [PDF]

J Chem Educ
Luque-Corredera C, Bartolomé E, Bradshaw B.   +2 more
europepmc   +1 more source

Nordic environmental resilience: balancing air quality and energy efficiency by applying artificial neural network. [PDF]

Front Public Health
Noman AA, Rehman FU, Khan I, Ullah M.
europepmc   +1 more source

Estimating the Prevalence of Schizophrenia in the General Population of Japan Using an Artificial Neural Network-Based Schizophrenia Classifier: Web-Based Cross-Sectional Survey. [PDF]

JMIR Form Res
Choomung P, He Y, Matsunaga M, Sakuma K, Kishi T, Li Y, Tanihara S, Iwata N, Ota A.   +8 more
europepmc   +1 more source

Nonlinear Compensation of the Linear Variable Differential Transducer Using an Advanced Snake Optimization Integrated with Tangential Functional Link Artificial Neural Network. [PDF]

Sensors (Basel)
Fan Q, Zhang X, Wen Z, Xu L, Zhang Q.
europepmc   +1 more source

Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma: A retrospective study.

World J Gastrointest Oncol
Nong HY, Cen YY, Lu SJ, Huang RS, Chen Q, Huang LF, Huang JN, Wei X, Liu MR, Li L, Ding K.   +10 more
europepmc   +1 more source