Results 271 to 280 of about 411,732 (388)

A Modular Perfusion Bioreactor Platform for Simulating Bone Regeneration and Fracture Healing: Integrating Mechanical Loading and Dual Perfusion for Advanced In Vitro Models

Advanced Healthcare Materials, EarlyView.
A modular bioreactor platform was developed in order to replicate bone homeostasis and pathology, thereby integrating mechanical loading, dynamic perfusion, and a 3D‐printed microfluidic chamber. With precise control of environmental parameters and dual perfusion for composite tissue models, the system enhances physiological relevance for studying bone
Moritz Pfeiffenberger, Alexandra Damerau, Johannes Plank, Adel Ahmed, Mario Thiele, Jan Saam, Paula Hoff, Timo Gaber, Frank Buttgereit   +8 more
wiley   +1 more source

Monitoring Welfare of Individual Broiler Chickens Using Ultra-Wideband and Inertial Measurement Unit Wearables. [PDF]

Sensors (Basel)
Khan I, Peralta D, Fontaine J, Soster de Carvalho P, Martos Martinez-Caja A, Antonissen G, Tuyttens F, De Poorter E.   +7 more
europepmc   +1 more source

Body Biofluids for Minimally‐Invasive Diagnostics: Insights, Challenges, Emerging Technologies, and Clinical Potential

Advanced Healthcare Materials, EarlyView.
Recent advances in diagnostics have accelerated the development of miniaturized wearable technologies for the continuous monitoring of diseases. This paradigm is shifting healthcare away from invasive, centralized blood tests toward decentralized monitoring, using alternative body biofluids.
Lanka Tata Rao, Chandan Kumar Mandal, Fernando Patolsky   +2 more
wiley   +1 more source

Validity of Valor Inertial Measurement Unit for Upper and Lower Extremity Joint Angles. [PDF]

Sensors (Basel)
Smith J, Parikh D, Tate V, Siddicky SF, Hsiao HY.   +4 more
europepmc   +1 more source

Validation of an inertial measurement unit for the determination of the longitudinal speed of a swimmer

, 2014
Frédéric Puel, Ludovic Seifert, Philippe Hellard   +2 more
openalex   +1 more source

Accuracy and repeatability of an inertial measurement unit system for field-based occupational studies

Ergonomics, 2016
M. Schall, N. Fethke, Howard Chen, Sakiko Oyama, D. Douphrate   +4 more
semanticscholar   +1 more source

Harnessing Next‐Generation 3D Cancer Models to Elucidate Tumor‐Microbiome Crosstalk

Advanced Healthcare Materials, EarlyView.
Centralizes the microbiome within 3D tumor‐microbiome model platforms, including spheroids, organoids, 3D‐bioprinted constructs, and microfluidic chips, each enabling structured host‐tumor‐microbe studies. These systems support bacterial colonization, facilitating investigation of microbial impacts on tumor growth, immunity, and therapy. The microbiome
Marina Green Buzhor, Giuseppe Longobardi, Or Kandli, Anne Krinsky, Opal Avramoff, Anshika Katyal, Koren Salomon, Adan Miari, Dana Venkert, Tania T. Barnatan, América García Alvarado, Shahar Greenberg, Ronit Satchi‐Fainaro   +12 more
wiley   +1 more source

IMPROVING THE PREDICTION OF FUNCTIONAL RECOVERY IN OLDER ADULTS WITH STROKE IN GERIATRIC REHABILITATION USING AN INERTIAL MEASUREMENT UNIT COMBINED WITH THE UTRECHT SCALE FOR EVALUATION OF REHABILITATION. [PDF]

J Rehabil Med Clin Commun
Kraaijkamp JJM, DE Waal MWM, Chavannes NH, Achterberg WP, VAN Dam VAN Isselt EF, Punt M.   +5 more
europepmc   +1 more source

Plasma‐Polymerized Nanoparticles Presenting Fibrillin‐1 Drive Rapid Re‐Endothelialization of Vascular Grafts

Advanced Healthcare Materials, EarlyView.
Commercial vascular grafts are made from ePTFE, a highly hydrophobic, foreign material that fails at a high rate in small‐diameter applications. Plasma polymer nanoparticles (PPN) are a versatile material functionalisation tool, used here to present fibrillin‐1 fragment PF8 on the graft surface.
Bob S. L. Lee, Yuen Ting Lam, Alex H. P. Chan, Praveesuda L. Michael, Timothy C. Mitchell, Jui Chien Hung, Miguel Santos, Khoon S. Lim, Richard P. Tan, Steven G. Wise   +9 more
wiley   +1 more source

Predicting Severe Knee Arthritis Based on Two Inertial Measurement Unit Sensors as a Dynamic Coordinate System Using Classical Machine Learning. [PDF]

J Med Signals Sens
Azizi E, Darbankhalesi M, Zare A, Rezaeian ZS, Kermani S.   +4 more
europepmc   +1 more source