Results 121 to 130 of about 28,593 (259)
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
Method for multi-task learning fusion network traffic classification to address small sample labels. [PDF]
Sci RepLiu L, Yu Y, Wu Y, Hui Z, Lin J, Hu J.
europepmc +1 more source
Encrypted Traffic Classification in Anonymity Networks
Anonymity networks are becoming increasingly popular in today's online world as more users attempt to safeguard their online privacy. Tor is currently the most popular anonymity network and provides anonymity to users and services (hidden services). However, the anonymity provided by Tor is also being misused in various ways.
openaire +2 more sources
Advanced Science, EarlyView.A novel metal‐supramolecular nanoplatform (FLM@VC) enables efficient brain delivery via meningeal lymphatic vessels (MLVs), bypassing the blood‐brain barrier (BBB) through subcutaneous administration. It reprograms tumor‐associated macrophages (TAMs) and remodels the MLVs to promote DC trafficking and CD8+ T cell activation.
Chenxi Zhang +11 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
Magneto‐X Effects in Magnetic Soft Materials and Their Applications
Advanced Science, EarlyView.This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang +5 more
wiley +1 more source
Scenario analysis of HAZMAT transportation road traffic crashs on China's highways based on AcciNet-RFs. [PDF]
Sci RepDai Z, Fan R, Meng W, Chen Y, Tian S.
europepmc +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
IRN2Vec: A representation learning model for road network intersections by integrating geospatial attributes and travel behaviors. [PDF]
PLoS OneYang X.
europepmc +1 more source
Advanced Science, EarlyView.AAA ABSTRACT Protein glycosylation and phosphorylation are critical post‐translational modifications (PTMs) governing nearly all cellular functions, yet their analysis remains challenging due to reliance on costly and unsustainable enrichment materials.
Jiaying Li +9 more
wiley +1 more source