Results 121 to 130 of about 101,601 (232)

Predictive Modelling of Solvent Effects on Drug Incorporation into Polymeric Nanocarriers: A Machine Learning Approach

Macromolecular Rapid Communications, EarlyView.
When seeking nanoparticles with elevated drug loading content, the experimental setup, including solvent selection, is crucial. Through machine learning, we pinpointed that the drug's solubility in the organic solvent is the key factor for attaining high drug loading content.
Wei Ge, Ramindu De Silva, Yanan Fan, Scott A. Sisson, Martina H. Stenzel   +4 more
wiley   +1 more source

Active Learning for the Discovery of Antiviral Polymers

Macromolecular Rapid Communications, EarlyView.
Machine learning and active learning are integrated to accelerate the discovery of antiviral polymers. Molecular descriptors derived from polymer composition enable predictive modeling of antiviral activity, while unsupervised clustering explores chemical diversity. The active learning workflow identifies optimal candidates for synthesis, demonstrating
Clodagh M Boland, Nhat Quynh Nguyen, Nathan RB Boase   +2 more
wiley   +1 more source

Recent Advances in the Laser‐Based Fabrication and Applications of High‐Entropy Alloy Nanoparticles

MetalMat, EarlyView.
This review presents recent advances in the laser‐based fabrication of high‐entropy alloy nanoparticles, focusing on scalable, environmentally friendly, and compositionally tunable synthesis methods. It highlights the critical influence of laser parameters on nanoparticle size, phase, and morphology, enabling tailored properties for applications in ...
Bibek Kumar Singh, Rajesh Rawat, Archana Tiwari, Venugopal Rao Soma, Ajay Tripathi   +4 more
wiley   +1 more source

Designing High‐Entropy Alloys With Low Stacking Fault Energy Through Interpretable Machine Learning

Materials Genome Engineering Advances, EarlyView.
In this study, we developed an interpretable machine learning (ML) ensemble framework and, by integrating the VEC criterion with the proposed machine learning scoring parameter in the alloy composition screening process, successfully designed multiple CoCrFeNiMn‐based HEAs with TWIP/TRIP effects and without the BCC phase.
Shuai Nie, Yixuan He, Haoxiang Liu, Xudong Liu, Haifeng Wang, Ziqing He, Menghao Yang   +6 more
wiley   +1 more source

Steatotic liver disease in chronic hepatitis C related hepatocellular carcinoma: Inflictor or bystander?: Correspondence to editorial on “Dynamic change of metabolic dysfunction-associated steatotic liver disease in chronic hepatitis C patients after viral eradication: A nationwide registry study in Taiwan” [PDF]

Clinical and Molecular Hepatology
Chung-Feng Huang, Ming-Lun Yeh, Chia-Yen Dai, Jee-Fu Huang, Wan-Long Chuang, Ming-Lung Yu   +5 more
doaj   +1 more source

Interpretable Machine Learning Predicting Coercivity of Sm‐Co‐Based Alloys

Materials Genome Engineering Advances, EarlyView.
A physically interpretable machine learning approach for predicting coercivity of Sm‐Co‐based alloys was proposed in this study. Key physical features governing coercivity were identified and reconstructed establishing a high‐throughput model for dopant screening with exceptional accuracy.
Guojing Xu, Hao Lu, Peixin Liu, Feng Cheng, Chongyu Han, Xiaoyan Song   +5 more
wiley   +1 more source

The Expanding Role of Companion Diagnostics in Infectious Diseases: Lessons From Abacavir and Human Immunodeficiency Virus Care

iLABMED, EarlyView.
Yi‐Wei Tang, Eric von Hofe
wiley   +1 more source

Postexercise Lactate Clearance, T2 Relaxation, and J‐Modulation in Human Skeletal Muscle Measured With Double‐Quantum Filtered 1H MRS at 7 T

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose 1H MRS lactate measurements are potentially valuable for studying energy metabolism in working skeletal muscle, but some technical obstacles need to be overcome. Spectral filtering to isolate the lactate signal from overlapping lipid resonances shows promise.
Kostiantyn Repnin, Vasco Rafael Rocha dos Santos, Veronika Cap, Roberta Frass‐Kriegl, Siegfried Trattnig, Graham J. Kemp, Martin Meyerspeer   +6 more
wiley   +1 more source

Enhancing Lipidomics With High‐Resolution Ion Mobility‐Mass Spectrometry

PROTEOMICS, EarlyView.
ABSTRACT Lipids, indispensable yet structurally intricate biomolecules, serve as critical regulators of cellular function and disease progression. Conventional lipidomics, constrained by limited resolution for isomeric and low‐abundance species, has been transformed by ion mobility‐mass spectrometry (IM‐MS).
Gaoyuan Lu, Shuling Xu, Penghsuan Huang, Lingjun Li   +3 more
wiley   +1 more source

The Use of Non‐Selective Beta‐Blockers in Cirrhotic Portal Hypertension

Portal Hypertension &Cirrhosis, EarlyView.
Non‐selective beta‐blockers (NSBBs) reduce portal pressure and play a key role in preventing variceal bleeding, managing ascites, and preventing hepatocellular carcinoma (HCC) in cirrhotic patients. Their clinical application requires individualized strategies and further optimization of indications. ABSTRACT Liver cirrhosis is the end stage of various
Tong Bu, Tianyuan Yang, Qi Wang
wiley   +1 more source