Results 71 to 80 of about 7,079,682 (287)
cuteHap: Haplotype‐Aware Structural Variant Detection in Phased Long‐Read Sequencing Data
cuteHap is a haplotype‐aware structural variant detection method designed for phased long‐read sequencing. By employing self‐adaptive clustering and credibility‐prioritized beam search algorithms, cuteHap generates accurate haplotype‐resolved calls and outperforms state‐of‐the‐art tools.
Shuqi Cao +7 more
wiley +1 more source
We generated multi‐tissue single‐cell transcriptomic atlases of camels and cattle, uncovering conserved and lineage‐specific cellular features across digestive and metabolic systems. Cross‐species comparisons revealed the evolutionary origin of the camel glandular sac and identified novel cell populations linked to physiological specialization ...
Tao Shi +22 more
wiley +1 more source
Effects of Message Completeness and Source Expertise in Online Health Discussion Boards
This study examines the effect of message completeness (presence vs. absence of an explanation), source expertise (doctor vs. layperson), and task importance (low vs. high) on message elaboration, perceived message credibility, and behavioral intentions
Thanomwong Poorisat +3 more
doaj +2 more sources
Electric vehicles (EVs) have been regarded as a promising solution to address the pressure to reduce greenhouse gas (GHG) emissions in the transportation sector. Prior research has primarily focused on their adoption behavior (intention) per se. However,
Jing Yan, Yu Zhou, Shanyong Wang, Jun Li
doaj +1 more source
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
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
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang +6 more
wiley +1 more source
This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu +9 more
wiley +1 more source
As virtual influencers gain popularity, understanding the factors driving consumer responses is essential. However, limited research explores how perceived value (informativeness, entertainment, novelty, and incentives) and consumer engagement influence ...
Ningyan Cao +3 more
doaj +1 more source
Biomass‐ and solid waste‐derived sustainable single‐atom catalysts (Sus‐SACs) provide a cost‐effective and renewable approach to catalyst design. This review summarizes precursor selection, including AI‐assisted screening, synthesis strategies with emphasis on ultrafast methods, and advanced characterization techniques.
Hongzhe He +8 more
wiley +1 more source

