Results 241 to 250 of about 354,413 (309)

Enhancing indoor activity recognition for disabled persons using multi head self attention recurrent neural network with improved pelican algorithm. [PDF]

Sci Rep
Arasi MA, Alkhudhayr H, Alkharashi A, Alneil AA.   +3 more
europepmc   +1 more source

Bioengineered 3D hPSC‐Cholangiocyte Ducts With Physiological Signals for Biliary Disease Modeling

Advanced Healthcare Materials, EarlyView.
Tian and colleagues generated a bioengineered bile duct from human pluripotent stem cell (hPSC)‐derived intrahepatic cholangiocytes within a high‐throughput, 384‐well platform to systematically examine the influence of biliary physiological signals including fluid flow, stromal cells and bile acids, and models intrahepatic biliary disease progression ...
Britney Tian, Mina Ogawa, Manami Kondo, Gabrielle Langeveld, Ling Jun Huan, Feng Zhang, Andrew Hollinger, Sara Deir, Christine Bear, Boyang Zhang, Shinichiro Ogawa   +10 more
wiley   +1 more source

Automated Cough Analysis with Convolutional Recurrent Neural Network. [PDF]

Bioengineering (Basel)
Wang Y, Wahab M, Hong T, Molinari K, Gauvreau GM, Cusack RP, Gao Z, Satia I, Fang Q.   +8 more
europepmc   +1 more source

The stock index forecast based on dynamic recurrent neural network trained with GA

, 2006
Yixian Fang, Baowen Wang, Yongmao Wang
openalex   +1 more source

Temporally Delayed Deployment of Photo‐Responsive Liquid Crystal Polymer Networks Toward Neural Interfaces

Advanced Healthcare Materials, EarlyView.
Deployable medical devices typically need external stimuli to trigger deployment. However, external stimuli are difficult to supply within tissues. Here, we describe a strategy to deploy small‐scale structures into soft tissues after insertion without the need for any stimulus. We demonstrate deployment within a tissue phantom.
Yeh‐Chia Tseng, Eleanor Nguyen Jeakle, Mahjabeen Javed, Rajasree Gopala Krishnan, Thomas J. Smith, Yoo Jin Lee, Sahana Dhananjayan, Sasha M. George, Manivannan Sivaperuman Kalairaj, Ali Hasan Zuaiter, Majed O. Althumayri, Hatice Ceylan Koydemir, Joseph J. Pancrazio, Taylor H. Ware   +13 more
wiley   +1 more source

Predicting the frequency of positive laboratory submissions for porcine reproductive and respiratory syndrome in Ontario, Canada, using autoregressive integrated moving average, exponential smoothing, random forest, and recurrent neural network. [PDF]

PLoS One
Petukhova T, Spinato M, Rossi T, Guerin MT, Bauman CA, Nelson-Smikle P, Ojkic D, Poljak Z.   +7 more
europepmc   +1 more source

Designed Liquid Crystalline Nanoassemblies From Clinically Validated Polyunsaturated Lipids for Combined Antioxidant, Anti‐Apoptotic, and Neurotrophic Treatments

Advanced Healthcare Materials, EarlyView.
Ionizable lipid nanoparticles target multiple pathological pathways in neurodegeneration. The designed self‐assembled materials undergo a pH‐triggered structural transformation from a cubosome/hexosome coexistence to a hexosome phase, enhancing intracellular delivery of a multi‐target phytochemical formulation. The antioxidant‐loaded pH‐responsive LNPs
Thelma Akanchise, Fucen Luo, Borislav Angelov, Yuru Deng, Angelina Angelova   +4 more
wiley   +1 more source

Deep recurrent neural network with fractional addax optimization algorithm for influenza virus host prediction. [PDF]

MethodsX
Koparde SA, Kothari S, Adsure S, Vhatkar KN, Kimbahune VV.   +4 more
europepmc   +1 more source

Packed for Ossification: High‐Density Bioprinting of hPDC Spheroids in HAMA Toward Endochondral Ossification

Advanced Healthcare Materials, EarlyView.
Human periosteum‐derived cell spheroids bioprinted at high density within a hyaluronic acid matrix promote fusion and hypertrophic cartilage formation in vitro. Early encapsulation enhances spheroid interaction and matrix maturation, generating scalable cartilage templates intended for endochondral bone regeneration.
Ane Albillos Sanchez, Maria Paula Marks, Paula Casademunt, Adrián Seijas‐Gamardo, Ioannis Papantoniou, Lorenzo Moroni, Carlos Mota   +6 more
wiley   +1 more source

Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival. [PDF]

Sci Rep
Geeitha S, Prabha KPR, Cho J, Easwaramoorthy SV.   +3 more
europepmc   +1 more source