Results 201 to 210 of about 5,327,540 (295)

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

Artificial Intelligence-Assisted Speech Therapy for /ɹ/: A Single-Case Experimental Study. [PDF]

Am J Speech Lang Pathol
Benway NR, Preston JL.
europepmc   +1 more source

Towards High‐Acuity Vision Restoration: Hybrid Retinal Prosthesis Composed of a High‐Density Multielectrode Array Integrated With Glutamatergic Cells

Advanced Functional Materials, EarlyView.
This work introduces a novel Hybrid Retinal Implant (HRI), composed of a high‐density electrode array integrated with glutamatergic neurons to overcome key limitations of current retinal prostheses. The significant reduction of activation threshold and of electrode cross‐talk yields in an improved spatial resolution.
Nairouz Farah, Amos Markus, Gal Shpun, Yoav Chemla, Erel Lasnoy, Tamar Azrad‐Leibovitch, Fikre Fentahon, Zeev Zalvesky, Yossi Mandel   +8 more
wiley   +1 more source

Intensive Speech Therapy for Hypokinetic Dysarthria in Parkinson's Disease: Targeting the Five Subsystems of Speech Production with Clinical and Instrumental Evaluation. [PDF]

NeuroSci
Gison A, Ruggiero M, Tufarelli D, Proietti S, Moscariello D, Valente M.   +5 more
europepmc   +1 more source

The Implication of the Speech Therapy in the Notions of Vocal Health in Television Reporters, Teresina/PI

, 2014
Carolina Gomes Rocha, Marta Maria da Silva Lira-Batista   +1 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Relative Age in School and Initiation of Speech Therapy in Children.

JAMA Netw Open
Billioti de Gage S, Peyre H, Chalumeau M, Mikaeloff Y, Zureik M, Weill A.   +5 more
europepmc   +1 more source

Effectiveness of remotely delivered speech therapy in persons with Parkinson's disease - a randomised controlled trial. [PDF]

EClinicalMedicine
Maas JJL, de Vries NM, IntHout J, Bloem BR, Kalf JG.   +4 more
europepmc   +1 more source

LipoGels: Robust Self‐Lubricating Physically Cross‐Linked Alginate Hydrogels Embedded with Liposomes

Advanced Functional Materials, EarlyView.
Physically cross‐linked alginate hydrogels embedded with 1,2‐dipalmitoyl‐sn‐glycero‐3‐phosphocholine liposomes (LipoGels) are prepared under optimized conditions to avoid shrinkage and achieve structural uniformity. LipoGels demonstrate robust mechanical strength (Young's modulus ≈1 MPa), excellent lubrication (friction coefficient ≈0.021), and ...
Tao Ma, Xueying Guo, Najet Mahmoudi, Pierangelo Gobbo, Wuge H. Briscoe   +4 more
wiley   +1 more source

Enhancing Communication and Swallowing Skills in Children with Cri Du Chat Syndrome: A Comprehensive Speech Therapy Guide. [PDF]

Children (Basel)
Papadopoulou S, Anagnostopoulou A, Katsarou DV, Megari K, Efthymiou E, Argyriadis A, Kougioumtzis G, Theodoratou M, Sofologi M, Argyriadi A, Pavlidou E, Toki EI.   +11 more
europepmc   +1 more source