Results 141 to 150 of about 33,034 (254)

Pharmacokinetics of hyaluronidase-facilitated subcutaneous immunoglobulin 10% in pediatric patients with primary immunodeficiency disease. [PDF]

Immunother Adv
Li Z, Teng Y, Russo-Schwarzbaum S, McCoy B.   +3 more
europepmc   +1 more source

Advances in Computational and Experimental Approaches to Chemical Short‐Range Order Formation in Multi‐Principal Element Alloys

Advanced Science, EarlyView.
Chemical short‐range order (CSRO) plays a central role in governing the behavior of multi‐principal element alloys. This perspective critically assesses computational and experimental approaches for quantifying, characterizing, and validating CSRO, emphasizing modeling–experiment cross‐validation pathways that enable more reliable interpretation of ...
Mohsen Asle Zaeem, Peter K. Liaw
wiley   +1 more source

Endothelial barrier disorder in hereditary angioedema: molecular mechanisms and therapeutic implications. [PDF]

Front Immunol
Zhou N, Wu J, Zhi Y.
europepmc   +1 more source

A Compendium of Logic Gates Based on Reconfigurable Three‐Independent‐Gate Transistors Realized in FDSOI Hardware

Advanced Electronic Materials, EarlyView.
This work electrically characterizes sixteen logic gates built from three‐independent‐gate reconfigurable transistors fabricated on full‐scale 300 mm wafers using the industrial 22 nm fully depleted FDSOI process of GlobalFoundries. Static and time‐resolved measurements confirm correct operation, including a 1‐bit adder and reconfigurable AOI/OAI ...
Juan P. Martinez, Yuxuan He, Giulio Galderisi, Violetta Sessi, Niladri Bhattacharjee, Peter Baars, Kerstin Poenisch, Annekathrin Zeun, Konstantin Li, Fernando Koch, Binit Syamal, Thomas Mikolajick, Jens Trommer   +12 more
wiley   +1 more source

From Germline Susceptibility to Therapeutic Vulnerability: DNA Damage Response Gene Mutations Driving Multiple Myeloma Evolution and Precision Therapy. [PDF]

Hum Mutat
Shen Q, Wang Y, Cai L, Qian J.
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

Outcome of Allogeneic Penetrating Limbo-Keratoplasty: A Single-Center Retrospective Cohort Study. [PDF]

J Clin Med
Horstmann ME, Schuster AK, Pfeiffer N, Wasielica-Poslednik J.   +3 more
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Defining Histological Patterns in Inherited Ichthyoses: Toward a Diagnostic Algorithm Based on 66 Confirmed Cases. [PDF]

Dermatopathology (Basel)
Süßmuth K, Oji V, Bodes J, Jochum I, Muhs F, Komlosi K, Hausser I, Schmuth M, Traupe H, Fischer J, Metze D.   +10 more
europepmc   +1 more source

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source