Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu +5 more
wiley +1 more source
Levantamento de Leandra Raddi no Núcleo Curucutu, Parque Estadual da Serra do Mar, São Paulo. Survey of Leandra Raddi in Núcleo Curucutu, Parque Estadual da Serra do Mar, São Paulo. [PDF]
Este trabalho consiste no levantamento de Leandra Raddi (Melastomataceae) no Núcleo Curucutu, Parque Estadual da Serra do Mar, São Paulo. Foram registradas quatorze espécies de :Leandra L. acutiflora (Naudin) Cogn., L.aurea (Cham.) Cogn.,L.australis(Cham.
Adenilsa Aparecida RODRIGUES LIMA +1 more
doaj
Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi +4 more
wiley +1 more source
A Third New Species of Aporcelinus Andrassy, 2009 (Dorylaimida, Aporcelaimidae) from Vietnam, with the First SEM Study of a Representative of the Genus [PDF]
THI ANH DUONG NGUYEN +3 more
doaj +1 more source
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
This study developed a novel nano‐vaccine (Ferritin‐PC@PBNZs) comprising a ferritin‐based scaffold for the multivalent display of phosphorylcholine (PC) antigens, integrated with Prussian blue nanozymes (PBNZs) as a potent adjuvant. By leveraging the ferritin carrier for high‐density and ordered antigen display, the nano‐vaccine significantly augments ...
Jingyi Sheng +6 more
wiley +1 more source
Forecasting Root Rot Disease through Predictive Microbial Functional Profiling
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
Polydopamine‐encapsulated probiotics restore gut homeostasis and reinstate macrophage efferocytosis, thereby reestablishing immune tolerance and mitigating systemic autoimmunity, highlighting a bioengineered microbiota‐based therapeutic strategy for SLE.
Ruimiao Wu +10 more
wiley +1 more source
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

