Results 191 to 200 of about 104,292 (281)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced 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

Strategies to improve on selection based on estimated breeding values. [PDF]

open access: yesGenet Sel Evol
Pook T   +3 more
europepmc   +1 more source

Nanoparticle‐Mediated Immunometabolic‐Epigenetic Remodeling Enhances Schwann Cell‐Macrophage Interaction for Sciatic Nerve Regeneration

open access: yesAdvanced Science, EarlyView.
A biomimetic Prussian White nanoparticle (PW) is engineered to achieve long‐term local retention and orchestrate immunometabolic‐epigenetic remodeling for sciatic nerve regeneration. PW directly targets hexokinase 2 to suppress glycolysis, thereby elevating α‐ketoglutarate and driving Kdm4a/b‐mediated demethylation of H3K9me3.
Wenying Xu   +6 more
wiley   +1 more source

Nonlinear genomic selection index accelerates multi-trait crop improvement. [PDF]

open access: yesNat Commun
Jesús Cerón-Rojas J   +7 more
europepmc   +1 more source

Polydopamine‐Encapsulated Probiotics Restore Gut Homeostasis and Reinstate Macrophage Efferocytosis in Systemic Lupus Erythematosus

open access: yesAdvanced Science, EarlyView.
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

Genomic selection using different marker types and densities [PDF]

open access: yes, 2008
A. K. Sonesson   +15 more
core   +1 more source

Genome selection for predicting the estimated breeding value of Canadian Holstein cattle

open access: yes, 2009
The objective of this study is to identify a subset of SNPs from a genome-wide dense panel of SNPs to predict the estimated breeding values (EBVs) of bulls. This requires selecting variables from a high-dimensional variable space (thousands of SNPs) with a much smaller sample size (hundreds of available animals).
openaire   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced Science, EarlyView.
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

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