Results 121 to 130 of about 3,533,939 (302)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.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
Advanced Science, EarlyView.This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård +19 more
wiley +1 more source
Enhancing Information Security Compliance in Healthcare through Cryptography and Blockchain Technology [PDF]
The subject of the thesis is integrating blockchain technology and advanced encryption methods to enhance information security in the healthcare sector.
Islam, Mohammad
core
Advanced Science, EarlyView.Bimodal modulation of nitric oxide in endothelial cells is achieved by light‐sensitive polymer nanoparticles. In dark, P3HT/PEDOT:PSS NPs boost intracellular ·NO, upregulate both endothelial and induced nitric oxide synthase, and drive a metabolic shift toward glycolysis.
Camilla Marzuoli +12 more
wiley +1 more source
Edge Modes and Symmetry-Protected Topological States in Open Quantum Systems
PRX QuantumTopological order offers possibilities for processing quantum information that can be immune to imperfections. However, the question of its stability out of equilibrium is relevant for experiments, where coupling to an environment is unavoidable. In this
Dawid Paszko +3 more
doaj +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Scale-Independent Relations Between Neutrino Mass Parameters
UniverseTheories of flavor operate at various scales. Recently it has been pointed out that in the context of modular flavor symmetries, certain combinations of observables are highly constrained, or even uniquely fixed, by modular invariance and holomorphicity.
Mu-Chun Chen +2 more
doaj +1 more source
Advanced Science, EarlyView.This study constructed the W1/O/W2 emulsion–based targeted therapy delivery system for ulcerative colitis (UC) utilizing LCC as surfactant for the first time. This multifunctional emulsion offered certain therapeutic advantages for UC, including targeted colonic delivery of active compounds, synergistic modulation of gut microbiota through combined ...
Qian Wu +9 more
wiley +1 more source
ADD-QIA: An Adaptive Data Deduplication Framework Based on Quantum Immune Algorithm
Abstract Cloud computing has become the backbone of modern data management, yet the exponential growth of unstructured data from IoT devices, virtual machines, and enterprise systems has created excessive redundancy. Conventional deduplication techniques, such as fixed-size and content-defined chunking, either miss shifted duplicates or
Sashi Tarun +2 more
openaire +1 more source
Fabrication of High‐Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS
Advanced Science, EarlyView.A chiplet‐based methodology democratizes active neural probe development on standard bulk CMOS services. This yields the first probe combining high‐density electrophysiology (416 electrodes) with calcium imaging (832 photodiodes) and complete on‐chip signal processing across 13 shanks.
Ju Hee Mun +10 more
wiley +1 more source