Results 121 to 130 of about 1,731 (245)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Sodium ion capacitor (SIC) is currently constrained by the low discharge capacity of commercial activated carbon as positive electrode material. This review provides a holistic summary of research efforts on alternative porous carbon materials for SIC. Image created by the authors with www.biorender.com.
Ademola Adeniji +2 more
wiley +1 more source
Success and Self-Doubt: Prevalence and Predictors of Imposter Phenomenon in a Cohort of Medical Students from Saudi Arabia. [PDF]
Alammar S +8 more
europepmc +1 more source
Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar +7 more
wiley +1 more source
Energy‐Resolved Femtosecond Dynamics of Plasmon‐Induced Hole Injection at Au/GaN Heterointerfaces
We reveal the spectral signature of ultrafast nonthermal hot‐hole transfer at plasmonic heterointerfaces, which reshapes hot‐carrier relaxation dynamics and significantly enhances hydrogen evolution, providing a mechanistic basis for optimizing hot‐carrier utilization in photocatalysis.
Yuying Gao +8 more
wiley +1 more source
ABSTRACT The lithium plating reaction in graphite electrodes acts as a root cause for the accelerated degradation and the internal short circuits in lithium‐ion batteries. Here, an electrochemical model based on multi‐scale microstructural images was established to identify lithium plating‐stripping processes, thereby supporting the predictive outcomes
Heng Huang +9 more
wiley +1 more source
The Relation Between Imposter Phenomenon and Self-Critical, Narcissistic, and Rigid Perfectionism: An Observational Study from a Women's Medical College in Saudi Arabia. [PDF]
AbuDujain NM +9 more
europepmc +1 more source
Phase‐Field simulations are carried out to elucidate nanomorphology formation mechanisms in organic photoactive layers under thermal annealing. The predicted bulk heterojunction structures are in excellent agreement with Scanning Electron Microscopy measurements.
Maxime Siber +3 more
wiley +1 more source
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu +10 more
wiley +1 more source
Imposter phenomenon; prevalence and associated factors among family medicine residents in Riyadh city, KSA. [PDF]
Bamhair A +4 more
europepmc +1 more source

