Results 121 to 130 of about 84,224 (285)
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
Sur le point-virgule et autres détails éphémères
The role of punctuation in literary texts should not be neglected. In the translation, the approach supporting the stylistic choices of the author seems important, and fidelity is required.
Jovanka Šotolová
doaj
Translator Style in Technical Classics: A Machine-Learning approach on English Translations of
A translator’s style serves as a vital lens for examining the intricacies of the translation process. This is especially notable in translating technical classics, where a tension arises between the source text’s objective nature and the translator’s ...
Wenjing Lv, Jinquan Wang
doaj +1 more source
CTBPro is a next‐generation cholera toxin B–based tracer engineered by fusing CTB to the ultra‐stable fluorescent protein mBaojin. Exhibiting markedly enhanced molar brightness, CTBPro enables high‐fidelity neuronal labeling across multiple administration routes.
Xinghua Quan +12 more
wiley +1 more source
Gula as Ninkarrak in the Middle Babylonian Onomastics
Through the analysis of two administrative tablets from Kassite Nippur, this paper examines variation in theophoric elements within personal names – most notably, the alternation between Gula and Ninkarrak in reference to the same individual.
Devecchi, Elena
doaj +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
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
Castelluccio painted pottery: stylistic variability and symbolical communication
The paper shows the results of an analysis on the ceramic design of the Castelluccio painted pottery. The authors have first identified basic motifs and their arrangements, then they have considered stylistic variation, analysing behavioural patterns in ...
Paola Piccione +2 more
doaj
Bioinspired Adaptive Leg‐Claw Enables Robust Perching and Grasping for UAVs
Inspired by owl limb morphology and bat roosting behavior, this study presents a bioinspired adaptive leg‐claw mechanism that enables UAVs to perform robust and versatile perching and grasping. The design integrates a four‐link tibial structure, tension‐driven deformable feet, and active control, enabling stable perching on various branches and ...
Tianyu Cheng +6 more
wiley +1 more source
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source

