Results 161 to 170 of about 161,154 (259)

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

Qualitative and Quantitative Computed Tomography Analyses of Lung Adenocarcinoma for Predicting Spread Through Air Spaces. [PDF]

Tomography
Kameda F, Kunihiro Y, Tanabe M, Nakashima M, Kobayashi T, Tanaka T, Hoshii Y, Ito K.   +7 more
europepmc   +1 more source

Electrically Tunable On‐Chip Topological Photonics with Integrated Carbon Nanotubes

Advanced Functional Materials, EarlyView.
This work demonstrates electrically tunable on‐chip topological THz devices by integrating 2D carbon nanotube (CNT) sheets with valley‐Hall photonic crystals, enabling broadband transmission modulation (71% modulation depth) and tunable narrowband filtering (0.54 GHz shift) through electrically induced thermal tuning. This advancement paves the way for
Jifan Yin, Wenhao Wang, Thomas Caiwei Tan, Abhishek Kumar, Ridong Jia, Nikhil Navaratna, Ranjan Singh, Lijuan Xie   +7 more
wiley   +1 more source

The use of quantitative computed tomography for bone ash quantification may avoid euthanasia of young broiler chickens. [PDF]

Poult Sci
Sung JY, Emmert BJ, Robison CI, Karcher DM, Adeola O.   +4 more
europepmc   +1 more source

In vivo assessment of the mechanical properties of the child cortical bone using quantitative computed tomography

, 2014
Yunzhang Zhu, François Bermond, Jacqueline Payen de la Garanderie, Jean‐Baptiste Pialat, Baptiste Sandoz, Jean‐Pierre Pracros, Wafa Skalli, David Mitton   +7 more
openalex   +1 more source

Photoluminescent UV Light Modulation via Anisometric Carbon Nanodots for UV–Visible Shutter and UV Sensor

Advanced Functional Materials, EarlyView.
Anisometric carbon nanodots are synthesized directly from a liquid crystal precursor and embedded into polymer network liquid crystals to create soft, multifunctional photonic films. These hybrid devices exhibit polarized photoluminescence, broad UV absorption, and fast, electrically tunable light modulation.
Mangesh D. Patekari, Archana Ramadas, Minhee Yun, Seung Hee Lee, MinSu Kim   +4 more
wiley   +1 more source

Oh to Be Watched Over by Machines of Loving Grace: Promise and Pitfalls of Quantitative Computed Tomography in Early Interstitial Lung Disease Detection. [PDF]

Am J Respir Crit Care Med
Jacob J, Podolanczuk AJ.
europepmc   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source

Bone Health Index (BoneXpert) and parameters of peripheral quantitative computed tomography indicate overall adequate bone health in adolescents with chronic endocrine diseases at time of transition. [PDF]

PLoS One
Gippert S, Bettendorf M, Hoos J, Choukair D.   +3 more
europepmc   +1 more source

Nonalcoholic fatty liver disease: Quantitative assessment of liver fat content by computed tomography, magnetic resonance imaging and proton magnetic resonance spectroscopy [PDF]

, 2009
Liang Zhong, Jie Jun Chen, Jie Chen, Lei Li, Zhi Qian Lin, Wen Jing Wang, Jian Xu   +6 more
openalex   +1 more source