Results 221 to 230 of about 3,113,242 (314)

Bone‐Derived dECM Hydrogels Support Tunable Microenvironments for In Vitro Osteogenic Differentiation

Advanced Healthcare Materials, EarlyView.
A tunable methacrylated decellularized bone matrix hydrogel (dECM‐MA) is developed to support 3D culture of human osteoblasts. The hydrogel preserves bone‐specific ECM cues and allows precise control over mechanical properties. This system provides a customizable platform for studying osteogenic differentiation and modeling bone tissue environments for
Minne Dekker, Luke Hipwood, Akhilandeshwari Ravichandran, Dietmar W. Hutmacher, Christoph Meinert, Jacqui McGovern   +5 more
wiley   +1 more source

Challenges and opportunities in uncertainty quantification for healthcare and biological systems. [PDF]

Philos Trans A Math Phys Eng Sci
Kimpton LM, Paun LM, Colebank MJ, Volodina V.   +3 more
europepmc   +1 more source

Utilizing general information theories for uncertainty quantification

, 2002
J M Booker
openalex   +1 more source

Tapered Pillar Design for High‐Precision Force Readout in Miniaturized Engineered Heart Tissues From Human Pluripotent Stem Cells

Advanced Healthcare Materials, EarlyView.
Engineered heart tissues (EHTs) are a valuable approach in capturing human cardiac physiology and drug responses in vitro. Here, a novel tapered pillar design is developed in an EHT platform to confine tissues in a predefined position‐ at the middle of the pillar height.
Milica Dostanić, Maury Wiendels, Laura M. Windt, Mervyn P.H. Mol, Francijna E. van den Hil, Richard P. Davis, Valeria Orlova, Berend J. van Meer, Massimo Mastrangeli, Christine L. Mummery   +9 more
wiley   +1 more source

Preface to the theme issue 'Uncertainty quantification for healthcare and biological systems (Part 2)'. [PDF]

Philos Trans A Math Phys Eng Sci
Kimpton LM, Paun LM, Colebank MJ, Volodina V.   +3 more
europepmc   +1 more source

Stochastic Uncertainty Quantification of the Conductivity in EEG Source Analysis by Using Polynomial Chaos Decomposition [PDF]

, 2010
R. Gaignaire, Guillaume Crevecoeur, Luc Dupré, Ruth V. Sabariego, Patrick Dular, Christophe Geuzaine   +5 more
openalex   +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

Uncertainty Quantification of First Fix in a Time-Differenced Carrier Phase Observation Model. [PDF]

Sensors (Basel)
Cherfi H, Lesouple J, Solà J, Thevenon P.   +3 more
europepmc   +1 more source

AI‐Assisted Design and Evaluation of SLM‐Ti64 Implants for Enhanced Bone Regeneration

Advanced Healthcare Materials, EarlyView.
AI‐driven simulations of biological healing, combining biomechanical modeling and machine learning, enable personalized orthopedic treatments. By decoding healing patterns influenced by implants and patient‐specific factors, this approach advances fracture repair understanding, optimizes implant design, and supports precision medicine and sustainable ...
Muhammad Usama Zaheer, Muhammad Hassan Razzaq, Mehmet Fatih Aycan, Yogendra Kumar Mishra   +3 more
wiley   +1 more source

Uncertainty quantification with graph neural networks for efficient molecular design. [PDF]

Nat Commun
Chen LY, Li YP.
europepmc   +1 more source