Results 221 to 230 of about 3,838,934 (281)

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

Sotatercept Versus Selexipag in Severe Pulmonary Arterial Hypertension: An Indirect Comparison of Efficacy Based on an Artificial-Intelligence Method That Reconstructed Patient-Level Data From Three Randomized Trials. [PDF]

Cureus
Messori A, Brunoro R, Paolì MG, Rivano M.   +3 more
europepmc   +1 more source

Reviewer #1 (Public Review): Direct and Indirect Salt Effects on Homotypic Phase Separation

Matthew MacAinsh, Souvik Dey, Huan-Xiang Zhou   +2 more
openalex   +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

A Smart Bio‐Battery Facilitates Diabetic Bone Defect Repair Via Inducing Macrophage Reprogramming and Synergistically Modulating Bone Remodeling Coupling

Advanced Functional Materials, EarlyView.
This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv, Haifu Sun, Wenxiang Tang, Yonggang Li, Zhonglai Qian, Lihui Hong, Chong Chen, Hongye Li, Jiaxiang Bai, Yusen Qiao, Mingming Liu   +10 more
wiley   +1 more source

Associations of Skeletal Muscle Mass and Percent Body Fat with Balance, Gait, and Locomotive Syndrome Risk in Community-dwelling Older Women. [PDF]

Prog Rehabil Med
Nishimoto J, Ono K, Taki S, Tanaka R.
europepmc   +1 more source

Ultrahigh‐Yield, Multifunctional, and High‐Performance Organic Memory for Seamless In‐Sensor Computing Operation

Advanced Functional Materials, EarlyView.
Molecular engineering of a nonconjugated radical polymer enables a significant enhancement of the glass transition temperature. The amorphous nature and tunability of the polymer, arising from its nonconjugated backbone, facilitates the fabrication of organic memristive devices with an exceptionally high yield (>95%), as well as substantial ...
Daeun Kim, Jaehyoung Ko, Namju Kim, Quynh H. Nguyen, Hoyeon Lee, Joohwan Eo, Seongeon Jin, Ji Eon Kwon, Seung‐Yeol Jeon, Youngdo Jeong, Dongseok Kwon, Sung Gap Im, Sanghan Lee, Byung Chul Jang, Yongho Joo   +14 more
wiley   +1 more source

Encorafenib plus binimetinib versus dabrafenib plus trametinib for the first-line treatment of patients with BRAF^V600E-mutant metastatic non-small cell lung cancer: a matching-adjusted indirect treatment comparison. [PDF]

ESMO Open
Planchard D, Mazières J, Grouin JM, Le Reun C, Luttenauer H, Boussahoua M, Macabeo B.   +6 more
europepmc   +1 more source

Bayesian Optimization-based Modular Indirect Adaptive Control for a Class of Nonlinear Systems

, 2016
Mouhacine Benosman, Amir‐massoud Farahmand   +1 more
openalex   +1 more source

Unraveling the Mg Loss Mechanism and Degradation Kinetics in Thermoelectric n‐Type Mg2Si‐Mg2Sn Solid Solutions

Advanced Functional Materials, EarlyView.
Mg‐based thermoelectrics are among the most promising candidates for power generation applications but their performance is compromised by Mg loss at device operation temperatures due to the higher chemical potential of Mg (μMg${\mu}_{\mathrm{Mg}}$) inside the material compared to the environment.
Aryan Sankhla, Eckhard Mueller, Johannes de Boor   +2 more
wiley   +1 more source