Results 111 to 120 of about 402,340 (284)
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
Modified Meerkat Clan Algorithm for Association Rules Mining
Association Rules Mining (ARM) forms one of the important data mining techniques. The classical methods that were previously worked on by researchers have become ineffective to deal with the steady growth of databases, which prompted us to use the ...
Mohamad Ab. Saleh, Ahmed T. Sadiq Sadiq
doaj +1 more source
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source
Mining Non-Derivable Association Rules [PDF]
GOETHALS, Bart +2 more
openaire +3 more sources
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
We report a rational design strategy for STING antagonists by dual covalent targeting of Cys292/309 in its C‐terminal domain, directly preventing functional oligomerization. Through covalent warhead repurposing, we identified P005091 and revealed its unique dual‐cysteine mechanism.
Yuxuan Zhao +23 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
Alzheimer's Disease Risk Factor APOE4 Exerts Dimorphic Effects on Female Bone
In aging bone, osteocytes accumulate neurodegenerative risk factor Apolipoprotein E (APOE). A humanized version of the Alzheimer's disease risk allele APOE4 altered the mouse bone transcriptome and proteome, with effects in female bone surpassing the brain, including bone fragility due to suppressed osteocytic maintenance of bone quality, identifying ...
Charles A. Schurman +15 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source

