Results 221 to 230 of about 2,817,119 (330)

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

Enhanced brain tumor classification framework using deep learning. [PDF]

Sci Rep
Vure RB, Pappala LK.
europepmc   +1 more source

Additively Manufactured 3D Auxetic Metamaterials for Structurally Guided Capacitive and Resistive Tactile Sensing

Advanced Functional Materials, EarlyView.
A 3D‐architected auxetic metamaterial is used to construct capacitive and resistive tactile sensors via digital light processing‐based additive manufacturing. The inward deformation of the proposed structure under compression amplifies local strain, enhancing sensing performance.
Mingyu Kang, Hong‐Gap Choi, Keun Park, Soonjae Pyo   +3 more
wiley   +1 more source

DL-PRO: A novel deep learning method for protein model quality assessment [PDF]

, 2014
Son P. Nguyen, Yi Shang, Dong Xu
openalex   +1 more source

Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models

Advanced Functional Materials, EarlyView.
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen, Sabah Kasmi, Shrinivas Dumbre, Lies Baekens, Elise Seynaeve, Louise Van den Hauwe, Niccolò Cantini, Aello Garantoudi, Filipe Branco Madeira, Alain Marrot, Emma Tuypens, Sofie Seghers, Anna Kuchmiy, Elisabeth Brabants, Bart Vanderborght, Ine Maes, Sarah Vandenberghe, Jessica Filtjens, Alícia Gordún Peiró, Daliya Kancheva, Ayla Debraekeleer, Florence Lambolez, Emily De Lombaerde, Yong Chen, Rafael Miyazawa Martins, Pauline Formaglio, Damya Laoui, Sofie Deschoemaeker, Bruno G. De Geest, Rogerio Amino, Stefaan De Koker   +30 more
wiley   +1 more source

HazChemNet: A Deep Learning Model for Hazardous Chemical Prediction. [PDF]

Int J Mol Sci
Zhang N, Qiu H, Cai H, Li Z, Li Y, Li Z, Qi L, Du H, Pan Y, Jing H, Ning J, Xian B, Gao S.   +12 more
europepmc   +1 more source

Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation

, 2013
Shu Liao, Yaozong Gao, Aytekin Oto, Dinggang Shen   +3 more
openalex   +1 more source

Understanding Functional Materials at School

Advanced Functional Materials, EarlyView.
This review outlines strategies for effectively teaching nanoscience in schools, focusing on challenges such as scale comprehension and curriculum integration. Emphasizing inquiry‐based learning and chemistry core concepts, it showcases hands‐on activities, digital tools, and interdisciplinary approaches.
Johannes Claußnitzer, Jürgen Paul
wiley   +1 more source

A review of plant leaf disease identification by deep learning algorithms. [PDF]

Front Plant Sci
Zhao J, Xu L, Ma Z, Li J, Wang X, Liu Y, Du X.   +6 more
europepmc   +1 more source

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images

, 2013
Guorong Wu, Minjeong Kim, Qian Wang, Yaozong Gao, Shu Liao, Dinggang Shen   +5 more
openalex   +1 more source