Results 191 to 200 of about 11,470 (264)

Collagen‐Based Gut‐on‐Chip for In Vitro Modeling of Intestinal Barrier Function and Host‐Pathogen Interactions

open access: yesAdvanced Materials Technologies, Volume 11, Issue 19, 7 October 2026.
A collagen‐based gut‐on‐chip model replicates the intestinal extracellular matrix, supporting villi‐like structures, tight junctions, and mucin production. This biomimetic platform enables rapid epithelial differentiation and functional barrier formation.
Fernanda López García   +4 more
wiley   +1 more source

Dose accuracy evaluation of multi-leaf collimator modeling in single-isocenter multi-target stereotactic radiosurgery. [PDF]

open access: yesPhys Imaging Radiat Oncol
Rahim Li F   +7 more
europepmc   +1 more source

Hyperpolarization of [1‐13C]Ketoisocaproate‐d2 by Reversible Exchange with Parahydrogen Enables Profiling of Branched‐Chain‐Amino‐Acid Metabolism in Cellulo and in Vivo

open access: yesAdvanced Science, Volume 13, Issue 57, 14 October 2026.
We report the fast generation of biocompatible solutions of highly 13C‐hyperpolarized (≈11%) partially‐deuterated ketoisocaproate within <6 min using spin‐lock‐induced crossing and reversible exchange with parahydrogen (SLIC‐SABRE). This enables rapid detection of branched‐chain‐amino‐acid transferase 1 (BCAT1) protein expression and investigation of ...
Stefan Petersen   +18 more
wiley   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

open access: yesAdvanced Science, Volume 13, Issue 55, 5 October 2026.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford   +3 more
wiley   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

open access: yesAdvanced Science, Volume 13, Issue 56, 9 October 2026.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park   +3 more
wiley   +1 more source

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