Results 221 to 230 of about 376,527 (305)

Preclinical Comparison of ¹⁸F-Labeled Amino Acids Targeting Different Transporter Systems for PET Imaging of Triple-Negative Breast Cancer. [PDF]

J Nucl Med
Akca U, Song PN, Devalankar D, Yasui N, Sorace AG, McConathy J.   +5 more
europepmc   +1 more source

Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions

Advanced Functional Materials, EarlyView.
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian, Jingkai Lin, Zhihao Tian, Selusiwe Ncube, Huayang Zhang, Emiliano Cortés, Hongqi Sun, Shaobin Wang   +7 more
wiley   +1 more source

Effects of pronatal policies on sexual and reproductive health services: a protocol for a scoping review. [PDF]

BMJ Open
Mburu G, Galati A, Chou D, Genatra B, Kiarie J, Boydell V.   +5 more
europepmc   +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

Sentinel lymph node detection in early-stage breast cancer - Are technetium-99m-nanocolloid and superparamagnetic iron oxide diagnostically equivalent procedures? A propensity score matched real world data analysis. [PDF]

Breast
Shehaj I, Stuppy K, Löwe A, Löwe P, Ruckes C, Baqué PE, Schreckenberger M, Degirmenci Y, Heimes AS, Lebrecht A, Helisch A, Reber H, Stewen K, Schmidt M, Hasenburg A, Krajnak S.   +15 more
europepmc   +1 more source

Chemoselective Sequential Polymerization: An Approach Toward Mixed Plastic Waste Recycling

Advanced Functional Materials, EarlyView.
Inspired by biological protein metabolism, this study demonstrates the closed‐loop recycling of mixed synthetic polymers via ring‐closing depolymerization followed by a chemoselective sequential polymerizations process. The approach recovers pure polymers from mixed feedstocks, even in multilayer formats, highlighting a promising strategy to overcome a
Gadi Slor, Youwei Ma, Hyunwoo Park, Tae‐Lim Choi, Damien Guironnet, Francesco Stellacci   +5 more
wiley   +1 more source

Dual-Tracer Imaging and Deep Learning for Real-Time Prediction of Lymph Node Metastasis in cN0 Papillary Thyroid Carcinoma. [PDF]

Cancers (Basel)
Zhou J, Zhuang Y, Xiao Q, Yang S, Dai Z, Huang C, Deng C, Chun L, Gao H, Su X.   +9 more
europepmc   +1 more source

Formation of Stable Amorphous Calcium Phosphate and Collagen Assemblies by a Versatile Spray‐Drying Approach

Advanced Functional Materials, EarlyView.
Amorphous calcium phosphate (ACP) microparticles with long‐term and thermal stability are prepared with or without collagen using a scalable one‐pot spray‐drying process. Under simulated physiological conditions, they crystallize into biomimetic bone mineral and, when combined with collagen, form extrudable, fibrillar bone‐like 3D constructs.
Camila Bussola Tovani, Nessma Bennaceur, Celina Benkhellat, Tristan Georges, Clara Doisneau, Vaskar Sardhalia, Thierry Azaïs, Flora Lemaire, Halima Kerdjoudj, Mohamed Selmane, Capucine Sassoye, Marie Albéric, Cédric Boissière, Nadine Nassif   +13 more
wiley   +1 more source

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [¹⁸F] FDG PET imaging. [PDF]

EJNMMI Res
Salomonsen C, Luppino LT, Aspheim F, Wickstrøm K, Wetzer E, Kampffmeyer M, Berzaghi R, Sundset R, Jenssen R, Kuttner S.   +9 more
europepmc   +1 more source