Bayesian neural networks for the optimisation of biological clocks in humans [PDF]
Gerardo Alfonso, Juan R. González
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Synchrotron Radiation for Quantum Technology
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader +10 more
wiley +1 more source
CNN MouseNet: A biologically constrained convolutional neural network model for mouse visual cortex [PDF]
Jianghong Shi +4 more
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Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source
The study develops elastin–fibrin scaffolds and evaluates angiogenesis using the chorioallantoic membrane (CAM) model. Advanced imaging with confocal microscopy and Indocyanine Green dye enables precise 3D quantification of vascular networks. Findings demonstrate superior microvessel visualization compared to micro‐CT using Microfil and Optiray 350 ...
Ece Melis Er +8 more
wiley +1 more source
This study presents a microfluidic brain microvascular network‐on‐chip (BMVasChip) to investigate endothelial barrier dysfunction caused by flavivirus non‐structural protein 1 (NS1), including virus‐ and time‐dependent vascular damage, leakiness, and dysfunction.
Monika Rajput +5 more
wiley +1 more source
Differential Compartmentalization of Enzymatic Reactions for Lactate Signaling Across Protocells
Two populations of protocells consisting of giant unilamellar vesicles containing active species and distinct artificial organelles are competent of collective behavior by mimicking production, intercellular communication, and detection of the bioinspired signal molecule lactate. Enzymatic cascade reactions within artificial organelles demonstrate that
Arianna Balestri +4 more
wiley +1 more source
Optimization of Flavonoid Extraction from Abelmoschus manihot Flowers Using Ultrasonic Techniques: Predictive Modeling through Response Surface Methodology and Deep Neural Network and Biological Activity Assessment [PDF]
Zenghong Sun +4 more
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Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders
This review discusses advanced transducer materials for improving deep brain stimulation (DBS) in neurological disorders. These materials respond to light, ultrasound, or magnetic fields, enabling precise, less invasive neuromodulation. Their stimulus‐responsive properties enhance neural control and adaptive therapy, paving the way for next‐generation ...
Di Zhao +5 more
wiley +1 more source
Predictive Modelling of H2S Removal from Biogas Generated from Palm Oil Mill Effluent (POME) Using a Biological Scrubber in an Industrial Biogas Plant: Integration of Artificial Neural Network (ANN) and Process Simulation [PDF]
Jantina Clifford +6 more
openalex +1 more source

