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
Unveiling a Bulk WTaV Multicomponent Alloy With Superior Thermal Properties and Manufacturability
Advanced Science, EarlyView.ABSTRACT Many tungsten (W)‐based medium and high entropy alloys (HEA) demonstrate superior microstructural stability and enhanced mechanical properties as compared to pure W, effectively rendering them as viable candidate materials for extreme environments such as nuclear fusion, aerospace applications, and so on.
Ishtiaque K. Robin +11 more
wiley +1 more source
Towards Environmentally Sustainable Diets: Consumer Attitudes and Purchase Intentions for Plant-Based Meat Alternatives in Taiwan. [PDF]
Nutrients, 2022 Chen HS.
europepmc +1 more source
Advanced Science, EarlyView.Fabrication‐induced variability remains a fundamental limitation in the scalable design of soft biomaterials. In this work, a stochastic machine learning approach based on Gaussian processes modeling is employed to establish quantitative links between biofabrication parameters, material properties, and their intrinsic variability.
Maria Alexaki +8 more
wiley +1 more source
Advanced Science, EarlyView.This study demonstrates that in high‐alloy systems, nanoclusters with high solute tolerance can effectively suppress compositional segregation. This mitigation leads to a concurrent 18.7% increase in strength and 41.5% improvement in ductility, which is attributed to a shear‐bypass synergistic strengthening mechanism. The findings provide a new pathway
Wei Yu +10 more
wiley +1 more source
Social Media Analysis to Understand the Expected Benefits by Plant-Based Meat Alternatives Consumers. [PDF]
Foods, 2021 Moreira MNB +5 more
europepmc +1 more source
The effect of cinnamon, oregano and thyme essential oils in marinade on the microbial shelf life of fish and meat products [PDF]
, 2016 Raes, Katleen +3 more
core +1 more source
MEASURING U.S. CONSUMER PREFERENCES FOR GENETICALLY MODIFIED FOODS USING CHOICE MODELING EXPERIMENTS: THE ROLE OF PRICE, PRODUCT BENEFITS AND TECHNOLOGY [PDF]
Food biotechnology promises to deliver a wide range of enhanced consumer benefits. This study models consumer's willingness to trade-off the potential risks of GM foods with the possibility of extracting significant benefits.
Govindasamy, Ramu +2 more
core +1 more source
Forecasting Root Rot Disease through Predictive Microbial Functional Profiling
Advanced Science, EarlyView.Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You +11 more
wiley +1 more source
Relationship between Personal Values and Intentions to Purchase Plant-Based Meat Alternatives: Application of the Dual Concern Theory. [PDF]
Int J Environ Res Public Health, 2022 Jang HW, Cho M.
europepmc +1 more source