Results 131 to 140 of about 103,221 (295)
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
Enhancing CAR‐T Cell Efficacy in Solid Tumors by Inhibiting CCL5/VEGF‐Mediated Angiogenesis
This study reveals that CAR‐T cells in solid tumors produce CCL5, which paradoxically induces VEGF and angiogenesis to promote tumor growth. Blocking CCL5/VEGF signaling—through gene knockout, or the CCR5 inhibitor maraviroc—significantly enhances the antitumor efficacy of CAR‑T therapy (the diagram was created in Biorender).
Shishuo Sun +15 more
wiley +1 more source
Numerous feature selection (FS) techniques have been widely applied in Software Engineering (SE) to improve the predictive performance of machine learning (ML) models.
Adam Khan +4 more
doaj +1 more source
Multidrug‐resistant Vibrio infections are rising rapidly and threaten coastal populations worldwide. This study introduces D‐zp37, a chirality‐engineered antimicrobial peptide with exceptional potency against resistant Vibrio species. D‐zp37 kills planktonic cells, blocks mixed‐species biofilms, disrupts essential bacterial stress responses, and shows ...
Ping Zeng +11 more
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
An mRNA‐liposome vaccine via dissolving microneedles (ML‐DMN) enables efficient skin‐targeted delivery while preserving mRNA integrity and allowing sustained antigen expression. Unlike intramuscular (IM) injection, ML‐DMN engages skin‐resident immune cells, activates antigen‐presenting cells (APCs), and induces strong T cell and cytokine responses at ...
Jeehye Nam +9 more
wiley +1 more source
Arcing High Impedance Fault Detection Using Real Coded Genetic Algorithm
Safety and reliability are two of the most important aspects of electric power supply systems. Sensitivity and robustness to detect and isolate faults can influence the safety and reliability of such systems.
Al-Othman, A.K. +2 more
core
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
The authors complement bovine pan‐SV with massive novel structural variations (SVs) identified through long‐read sequencing of 83 globally distributed cattle breeds. Repetitive sequence‐mediated SVs (rep‐SV) exhibit distinct dynamic patterns throughout cattle sub‐speciation and/or domestication processes, including uneven distribution between chr‐X and
Zhifan Guo +16 more
wiley +1 more source
Graphical workstation capability for reliability modeling [PDF]
In addition to computational capabilities, software tools for estimating the reliability of fault-tolerant digital computer systems must also provide a means of interfacing with the user.
Bavuso, Salvatore J. +2 more
core +1 more source

