Results 151 to 160 of about 2,822 (222)

In Vitro Study of the Role of Factor IX in Treatment of Breakthrough Bleeds in Patients with Hemophilia A and Inhibitors Receiving Emicizumab. [PDF]

TH Open
Janbain M, Josset L, Leuci A, Zakharia K, Ksayer R, Nougier C, Leissinger C, Dargaud Y.   +7 more
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Evaluation of Daughter Radionuclide Release from the ¹⁰³Pd/^103mRh In Vivo Generator for Targeted Auger Therapy. [PDF]

Pharmaceuticals (Basel)
Laouameria AN, Driver CHS, Buys M, Kurakina ES, Hunyadi M, Zeevaart JR, Szucs Z.   +6 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Targeting the Exon2 splice cis-element in PD-1 and its effects on lymphocyte function. [PDF]

PLoS One
Tan Y, Kumagai-Takei N, Shimizu Y, Yamasaki A, Hara-Yamamoto M, Mitani S, Ito T.   +6 more
europepmc   +1 more source

Atomically Dispersed Mo–S Sites Boost NiFe–Layered Double Hydroxide for Industrial‐Level Seawater Electrolysis

Advanced Energy Materials, EarlyView.
(Mo–S)1@NiFe–LDH promotes the rapid structural transition to the active oxyhydroxide phase, enabling selective seawater oxidation at industrial‐level current densities. Atomically dispersed Mo–S sites within the LDH lattice efficaciously modulate the structural flexibility to lower the thermodynamic barrier for early‐phase activation.
Jae Kwan Lee, Jaehyun Kim, Byeong‐Gwan Cho, In‐Hui Hwang, Woo Seok Cheon, Jiheon Lim, Kiryong Hong, Hong Gi Kim, Jong Hwan Lim, Sooheyong Lee, Jong Hun Kang, Min Sang Kwon, Ki Chang Kwon, Sun Hwa Park, Ho Won Jang   +14 more
wiley   +1 more source

Development of an anti-rat complement C2 antibody that improves renal outcome in a rat kidney transplant model. [PDF]

Front Immunol
Bracke L, Delaere J, Haspeslagh E, De Winter K, Driege Y, Bilgraer R, Delahaye T, Hack CE, Van de Walle I.   +8 more
europepmc   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

Annals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males, Marko Kumric, Zvonimir Boban, Josip Vrdoljak, Dario Pecenkovic, Matej Ivanda, Marko Grahovac, Zenon Pogorelic, Josko Bozic   +8 more
wiley   +1 more source

Plasminogen activator inhibitor-1 as an oncologic target: biology, therapeutic inhibitors, and clinical translation. [PDF]

Front Oncol
Al Shaer NSH, Tleyjeh A, Al-Attas MA, Alibrahim JH, Khan MI, Yaqinuddin A.   +5 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source