The Experts below are selected from a list of 297105 Experts worldwide ranked by ideXlab platform
Rui L Reis - One of the best experts on this subject based on the ideXlab platform.
-
gellan gum injectable hydrogels for cartilage tissue Engineering applications in vitro studies and preliminary in vivo evaluation
Tissue Engineering Part A, 2010Co-Authors: Joao T Oliveira, Tircia C Santos, Luis Martins, Ricardo Picciochi, Alexandra P Marques, Antonio G Castro, Nuno M Neves, Joao F Mano, Rui L ReisAbstract:Gellan gum is a polysaccharide that we have previously proposed for applications in the cartilage tissue Engineering Field. In this work, gellan gum hydrogels were tested for their ability to be us...
-
natural origin polymers as carriers and scaffolds for biomolecules and cell delivery in tissue Engineering applications
Advanced Drug Delivery Reviews, 2007Co-Authors: P B Malafaya, Gabriel A Silva, Rui L ReisAbstract:The present paper intends to overview a wide range of natural–origin polymers with special focus on proteins and polysaccharides (the systems more inspired on the extracellular matrix) that are being used in research, or might be potentially useful as carriers systems for active biomolecules or as cell carriers with application in the tissue Engineering Field targeting several biological tissues. The combination of both applications int oa single material has proven to be very challenging though. The paper presents also some examples of commercially available natural–origin polymers with applications in research or in clinical use in several applications. As it is recognized, this class of polymers is being widely used due to their similarities with the extracellular matrix, high chemical versatility, typically good biological performance and inherent cellular interaction and, also very significant, the cell or enzyme-controlled degradability. These biocharacteristics classify the natural–origin polymers as one of the most attractive options to be used in the tissue Engineering Field and drug delivery applications. © 2007 Elsevier B.V. All rights reserved.
Matthew J Realff - One of the best experts on this subject based on the ideXlab platform.
-
Machine learning: Overview of the recent progresses and implications for the process systems Engineering Field
Computers and Chemical Engineering, 2018Co-Authors: Jay H. Lee, Joohyun Shin, Matthew J RealffAbstract:Machine learning (ML) has recently gained in popularity, spurred by well-publicized advances like deep learning and widespread commercial interest in big data analytics. Despite the enthusiasm, some renowned experts of the Field have expressed skepticism, which is justifiable given the disappointment with the previous wave of neural networks and other AI techniques. On the other hand, new fundamental advances like the ability to train neural networks with a large number of layers for hierarchical feature learning may present significant new technological and commercial opportunities. This paper critically examines the main advances in deep learning. In addition, connections with another ML branch of reinforcement learning are elucidated and its role in control and decision problems is discussed. Implications of these advances for the Fields of process and energy systems Engineering are also discussed.
Shengwei Mei - One of the best experts on this subject based on the ideXlab platform.
-
New research advancement in electrical Engineering Field of China-Reviews on special issue of Science in China Series E: Technological Sciences
Science Bulletin, 2009Co-Authors: Shengwei MeiAbstract:Based on, but not limited to the research results of electrical Engineering published in the special issue of Science in China Series E, June 2008, this essay gives a brief review on a wide range of state-of-art advancement in electrical Engineering Field of China, which includes power system modeling, analysis and control, risk assessments in power system, etc.
Robert Langer - One of the best experts on this subject based on the ideXlab platform.
-
chasing the paradigm clinical translation of 25 years of tissue Engineering
Tissue Engineering Part A, 2019Co-Authors: Tyler Hoffman, Ali Khademhosseini, Robert LangerAbstract:In the past 25 years, the tissue Engineering Field has made incredible strides in developing tangible therapies for patients in need. Applications of the tissue Engineering paradigm, involving vary...
Jay H. Lee - One of the best experts on this subject based on the ideXlab platform.
-
Machine learning: Overview of the recent progresses and implications for the process systems Engineering Field
Computers and Chemical Engineering, 2018Co-Authors: Jay H. Lee, Joohyun Shin, Matthew J RealffAbstract:Machine learning (ML) has recently gained in popularity, spurred by well-publicized advances like deep learning and widespread commercial interest in big data analytics. Despite the enthusiasm, some renowned experts of the Field have expressed skepticism, which is justifiable given the disappointment with the previous wave of neural networks and other AI techniques. On the other hand, new fundamental advances like the ability to train neural networks with a large number of layers for hierarchical feature learning may present significant new technological and commercial opportunities. This paper critically examines the main advances in deep learning. In addition, connections with another ML branch of reinforcement learning are elucidated and its role in control and decision problems is discussed. Implications of these advances for the Fields of process and energy systems Engineering are also discussed.
