Results 181 to 190 of about 448 (190)

Tau Pathology in Alzheimer's Disease Uniquely Affects Sulcal Depths

open access: yesAnnals of Neurology, EarlyView.
Objective Though it is widely known that tau deposition affects brain structure, the precise localization of these effects is poorly understood, especially in relation to gyral and sulcal anatomy. We investigated whether tau pathology in Alzheimer's disease (AD) preferentially affects sulci, and particularly sulcal depths.
Samira A. Maboudian   +10 more
wiley   +1 more source

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open access: green, 2017
Ксения Валерьевна Галунова   +1 more
openalex   +1 more source

Transient Transfection of Rolling‐Circle Amplified DNA in Biomanufacturing‐Relevant Mammalian Cell Lines: A Comparison of Transfection Conditions for Optimal Protein Expression

open access: yesBiotechnology and Applied Biochemistry, EarlyView.
ABSTRACT Rolling‐circle amplification (RCA) is a completely synthetic and rapid mechanism for scaling‐up bulk DNA that eliminates requirements for large‐scale bacterial fermentation. Several reports have described the surprising ability of large unprocessed (hyperbranched) rolling circle‐amplified DNA (RCA DNA) to effectively transfect cultured cells ...
Evelina Loghin   +8 more
wiley   +1 more source

Development of a Jacketed Breathable Shake Flask With Process Monitoring, Control, and Bioreactor‐Like Performance

open access: yesBiotechnology and Bioengineering, EarlyView.
This article presents the design and evaluation of a gas‐control jacket integrated with a breathable shake flask, enabling precise regulation of dissolved oxygen and carbon dioxide to improve scalability, process control, and culture performance in shaking bioreactors.
Vikash Kumar   +5 more
wiley   +1 more source

Phenazine‐Based Synthetic Biology to Signal Between Cells and Electrodes

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Bioelectronic systems that enable seamless communication between electronic devices and living systems represent a transformative frontier in biotechnology. Among available methodologies, redox based signaling offers unique advantages due to its ubiquity in biology and compatibility with standard electrochemical equipment, expanding on ...
Eric VanArsdale   +8 more
wiley   +1 more source

Mediated Electrochemical Probing and Machine Learning for Cysteine and Reduced Monoclonal Antibody Quantification

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Biopharmaceutical manufacturing requires robust analytics and process controls throughout production to insure high yield of quality products. New methodologies for rapidly accessing and integrating data‐rich information from complex dynamic biological environments are of great interest.
Kayla Chun   +8 more
wiley   +1 more source

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging

open access: yesClinical Anatomy, EarlyView.
ABSTRACT Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from early development through aging (ages 0–90).
Lucas W. Remedios   +13 more
wiley   +1 more source

Conformational Trajectory of the Molecular Chameleon Grazoprevir from Formulation to Target‐Bound

open access: yesChemistry – A European Journal, EarlyView.
ABSTRACT Macrocycles represent a promising class of beyond‐rule‐of‐5 (bRo5) therapeutics, capable of targeting proteins traditionally considered undruggable by conventional small molecules. Macrocycles exhibit intrinsic flexibility and often display a “chameleon‐like” ability to adapt to their environment, thereby enhancing their oral bioavailability ...
Lianne H. E. Wieske   +5 more
wiley   +1 more source

Rank‐based estimation of propensity score weights via subclassification

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang   +3 more
wiley   +1 more source

Applying Machine Learning Methods to Laser Acceleration of Protons: Synthetic Data for Exploring the High Repetition Rate Regime

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT Advances in ultra‐intense laser technology have increased repetition rates and average power for chirped‐pulse laser systems, which offer a promising solution for many applications including energetic proton sources. An important challenge is the need to optimize and control the proton source by varying some of the many degrees of freedom ...
John J. Felice   +7 more
wiley   +1 more source

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