Results 211 to 220 of about 500,852 (334)

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

Three-dimensional high-content imaging of unstained soft tissue with subcellular resolution using a laboratory-based X-ray microscope. [PDF]

Proc Natl Acad Sci U S A
Esposito M, Astolfo A, Zhou Y, Buchanan I, Teplov A, Hutchinson JC, Endrizzi M, Vinogradova AE, Makarova O, Divan R, Tang CM, Yagi Y, Lee PD, Walsh CL, Ferrara JD, Olivo A.   +15 more
europepmc   +1 more source

Expanding Chemical Space of Nucleic Acid Nanoparticles for Tunable Antiviral‐Like Immunomodulatory Responses and Potent Adjuvant Activity

Advanced Functional Materials, EarlyView.
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj, Hannah S. Newton, Jian Wang, Laxmi Pandey, Yelixza I. Avilla, Phong Nguyen, Morgan Chandler, Justin Halman, Yasmine Radwan, Stephanie Smith, Elijah Edmondson, Simone Difilippantonio, Chelsea Sanders, Bao Tran, Yongmei Zhao, Shaojun Xie, Edward Cedrone, Barry W. Neun, Meni Wanunu, Nikolay V. Dokholyan, Marina A. Dobrovolskaia, Kirill A. Afonin   +21 more
wiley   +1 more source

Real-time vectorcardiography simulator system. [PDF]

PLoS One
Rodriguez WR, Bernal HA, Amador-Munoz DP.   +2 more
europepmc   +1 more source

sEMG based Techniques to Detect and Predict Localised Muscle Fatigue [PDF]

, 2011
Al-Mulla, MR, Colley, MJ, Sepulveda, F
core  

A Vascular Microphysiological Model of Lung Fibrosis Reveals That Myofibroblasts and IPF Patient‐Derived Fibroblasts Impair Angiogenesis and Vasculogenesis

Advanced Functional Materials, EarlyView.
A microphysiological lung fibrosis model recapitulates myofibroblast–vascular interactions. Induced myofibroblasts and patient‐derived IPF fibroblasts impair angiogenesis and increase vascular permeability via TGF‐β1–driven signaling. Pharmacological interventions with SB 431542 and VEGF supplementation restore vascular morphology and barrier function.
Elena Cambria, Adriana Blazeski, Eunkyung Clare Ko, Tran Thai, Shania Dantes, David A. Barbie, Sarah E. Shelton, Roger D. Kamm   +7 more
wiley   +1 more source

Editorial: Biomedical sensing in assistive devices. [PDF]

Front Bioeng Biotechnol
Li P, Pang Z, Zhang ZQ, Li C, Liu Y, Cao W.   +5 more
europepmc   +1 more source

Power/Performance Exploration of Single-core and Multi-core Processor Approaches for Biomedical Signal Processing

, 2011
Ahmed Dogan, David Atienza, Andreas Burg, Igor Loi, Luca Benini   +4 more
openalex   +2 more sources

Region‐to‐Region Unidirectional Connection In Vitro Brain Model for Studying Directional Propagation of Neuropathologies

Advanced Functional Materials, EarlyView.
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang, Hui‐Wen Liu, Hyogeun Shin, Hyun Wook Kang, Minjin Kang, Jongbaeg Kim, Il‐Joo Cho, Nakwon Choi, Seok Chung, Hong Nam Kim   +9 more
wiley   +1 more source

SiViS: Simulated multi-patient physiological clinical states for advanced vital sign radar monitoring research. [PDF]

Sci Data
Reyes KM, Gupta A, Grosmaire A, Procházková S, Matouch P, Závacká I, Škroch J, Cerny M.   +7 more
europepmc   +1 more source