Results 171 to 180 of about 801,900 (223)

Evaluating and implementing machine learning models for personalised mobile health app recommendations. [PDF]

PLoS One
Morenigbade H, Al Jaber T, Gordon N, Eke G.   +3 more
europepmc   +1 more source

Transmembrane Activation of Catalysis and Protein Refolding in Synthetic Cells by Enzymes and Nanozymes

Advanced Functional Materials, EarlyView.
Synthetic cells are engineered herein to respond to an external chemical messenger by the activation of intracellular catalysis. The chemical messenger molecules are catalytically generated by an extracellular enzyme or a mineral surface, whereas the intracellular catalysis emerges via direct enzyme activation or via protein refolding.
Dante G. Andersen, Andreas B. Pedersen, Mireia Casanovas Montasell, Søren Moesgaard, Anja Bille Bohn, Alexander N. Zelikin   +5 more
wiley   +1 more source

Enhancing cybersecurity through script development using machine and deep learning for advanced threat mitigation. [PDF]

Sci Rep
Kim TH, Srinivasulu A, Chinthaginjala R, Dhakshayani J, Zhao X, Obaidur Rab S.   +5 more
europepmc   +1 more source

Laser‐Induced Graphene‐Assisted Patterning and Transfer of Silver Nanowires for Ultra‐Conformal Breathable Epidermal Electrodes in Long‐Term Electrophysiological Monitoring

Advanced Functional Materials, EarlyView.
This study presents a novel method using laser‐induced graphene (LIG) to enable high‐yield transfer of silver nanowire (AgNW) networks onto ultra‐low modulus, breathable silicone substrates. This approach creates ultra‐conformal epidermal electrodes (≈50 µm) for long‐term, high‐fidelity electrophysiological monitoring, even in challenging conditions ...
Jiuqiang Li, Senhao Zhang, Jun Zhong, Benkun Bao, Kai Guo, Yingying Zhang, Kerong Yang, Yao Tong, Donghai Qiu, Hongbo Yang, Huanyu Cheng   +10 more
wiley   +1 more source

Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging. [PDF]

Front Hum Neurosci
Bhattacharya S, Prusty S, Pande SP, Gulhane M, Lavate SH, Rakesh N, Veerasamy S.   +6 more
europepmc   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

DeepATsers: a deep learning framework for one-pot SERS biosensor to detect SARS-CoV-2 virus. [PDF]

Sci Rep
Nyamdavaa A, Kaladharan K, Ganbold EO, Jeong S, Paek S, Su Y, Tseng FG, Ishdorj TO.   +7 more
europepmc   +1 more source

A Comparison of the Mechanical Properties of ECM Components and Synthetic Self‐Assembling Peptides

Advanced Healthcare Materials, EarlyView.
Self‐assembling peptide hydrogels are increasingly utilized in biomedical applications. The authors review the key mechanical properties of these structures across multiple size scales and compare them to that of native extracellular matrix components, which are found to display a much wider range of structural attributes.
Alex Hartley, Philip Michael Williams, Alvaro Mata   +2 more
wiley   +1 more source

AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation. [PDF]

J Am Med Inform Assoc
Joshi S, Urteaga I, van Amsterdam WAC, Hripcsak G, Elias P, Recht B, Elhadad N, Fackler J, Sendak MP, Wiens J, Deshpande K, Wald Y, Fiterau M, Lipton Z, Malinsky D, Nayan M, Namkoong H, Park S, Vogt JE, Ranganath R.   +19 more
europepmc   +1 more source