Results 91 to 100 of about 45,590 (288)

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

Advanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu, Camilla Mussoni, Mateo S. Andrade Mier, Paula Buettner, Nathaly Chicaiza‐Cabezas, Yi‐Yu Robin Dai, Jessica Faber, Maren Fiedler, Zan Lamberger, Xuen Jen Ng, Vanessa Moessler, Anna Rederer, Jonas Roeder, Sabrina Stecher, Katinka Theis, Jeanette Weigelt, Silvia Budday, Gregor Lang, Natascha Schaefer   +18 more
wiley   +1 more source

Strategies to Improve the Lipophilicity of Hydrophilic Macromolecular Drugs

Advanced Healthcare Materials, EarlyView.
Hydrophilic macromolecular drugs can be successfully lipidized by covalent attachment of lipids, by hydrophobic ion pairing with negatively or positively charged surfactants, and by dry or wet reverse micelle formation. Lipophilicity enhancement of hydrophilic macromolecules has several benefits including stability and bioavailability improvement ...
Sera Lindner, Stefan Keim, Soheil Haddadzadegan, Odile Fernandez Romero, Katrin Zöller, Gabriel Stern, Ilaria Cesi, Krum Kafedjiiski, Andreas Bernkop‐Schnürch   +8 more
wiley   +1 more source

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

Neural Machine Translation for Indian Languages

Journal of Intelligent Systems, 2019
Machine Translation bridges communication barriers and eases interaction among people having different linguistic backgrounds. Machine Translation mechanisms exploit a range of techniques and linguistic resources for translation prediction.
Pathak Amarnath, Pakray Partha
doaj   +1 more source

Priming Neural Machine Translation

, 2020
Priming is a well known and studied psychology phenomenon based on the prior presentation of one stimulus (cue) to influence the processing of a response. In this paper, we propose a framework to mimic the process of priming in the context of neural machine translation (NMT).
Pham, Minh Quang, Xu, Jitao, Crego, Josep-Maria, Senellart, Jean, Yvon, François   +4 more
openaire   +1 more source

Factored Neural Machine Translation

, 2016
We present a new approach for neural machine translation (NMT) using the morphological and grammatical decomposition of the words (factors) in the output side of the neural network. This architecture addresses two main problems occurring in MT, namely dealing with a large target language vocabulary and the out of vocabulary (OOV) words. By the means of
García-Martínez, Mercedes, Barrault, Loïc, Bougares, Fethi   +2 more
openaire   +2 more sources

Redefining Therapies for Drug‐Resistant Tuberculosis: Synergistic Effects of Antimicrobial Peptides, Nanotechnology, and Computational Design

Advanced Healthcare Materials, EarlyView.
Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales, Jessica Ingrid Marquez Cazorla, Renzo Marianito Marquez Cazorla, Aline Martins dos Santos, Jonatas Lobato Duarte, Letícia Oliveira Catarin Nunes, Túlio Custódio Reis, Lara Cerazi Salvador, Norival Alves Santos‐Filho, Rafael Miguel Sábio, Hélder A. Santos, Fernando Rogério Pavan   +11 more
wiley   +1 more source

Chinese-English machine translation model based on transfer learning and self-attention

Journal of Applied Science and Engineering
With the continuous development of machine learning and neural networks, neural machine translation (NMT) has been widely used due to its strong translation ability.
Shu Ma
doaj   +1 more source

Effective Use of Target-side Context for Neural Machine Translation

, 2021
Hideya Mino
openalex   +2 more sources

Adversarial Neural Machine Translation

, 2017
In this paper, we study a new learning paradigm for Neural Machine Translation (NMT). Instead of maximizing the likelihood of the human translation as in previous works, we minimize the distinction between human translation and the translation given by an NMT model. To achieve this goal, inspired by the recent success of generative adversarial networks
Wu, Lijun, Xia, Yingce, Zhao, Li, Tian, Fei, Qin, Tao, Lai, Jianhuang, Liu, Tie-Yan   +6 more
openaire   +2 more sources