Results 111 to 120 of about 354,024 (279)
Plant Genetic Engineering: Technological Pathways, Application Scenarios, and Future Directions
This review maps the fast‐evolving landscape of plant genetic engineering, linking enabling platforms with trait‐focused applications in architecture optimization, stress resilience, yield improvement, and quality enhancement. It highlights how genome editing, transgenic strategies, and emerging multi‐gene approaches reshape breeding pipelines, while ...
Peilin Wang +4 more
wiley +1 more source
PREDICTING THE FUNCTIONAL RESULT OF TYMPANOPLASTY WITH THE AID OF NEURONAL NETWORKS USING A REDUCED DATA SET [PDF]
Applications of artificial intelligence have made their presence felt over the last few years in many areas, including medicine. Since medicine is a field of high unpredictability, traditional methods of medical statistics are insufficient.
Oana SANDU +3 more
doaj
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 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
IntroductionBlockchain and AI (Artificial Intelligence) are shaping a new medical ecosystem as two key technologies for the digital transformation of healthcare.MethodsThis paper provides systematic review and theoretical framework for understanding the ...
Jialin Liu, Xiaowen Hu
doaj +1 more source
Sub‐Unit‐Cell Logic Governs Transport in TPMS Architectures
ABSTRACT Next‐generation energy, thermal, and chemical systems require architectures capable of highly efficient transport across multiple length scales. Triply periodic minimal surfaces (TPMS), first conceptualized in 1865, offer inherently scalable geometries with exceptional transport potential, yet mechanistic links between topology and performance
Haozhang Zhong +16 more
wiley +1 more source
Artificial Intelligence as the Common: Cognitive Capitalism, Enclosure and the Crisis of Property
This study discusses the transformations that cause knowledge to become a source of power, wealth, and property in contemporary societies and the phenomenon of artificial intelligence, which is at the center of these transformations, in the context of ...
Aykut Aykutalp, Adem Çelik
doaj +1 more source
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
Images in Logical-and-Linguistic Artificial Intelligence Systems
Visual images are holistic, and when verbalized there is a partial loss of semantic content. However, it should be noted the lack of effectiveness of decision support systems only when using images without an effective context, and systems that do not include holistic images.
openaire +2 more sources
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng +17 more
wiley +1 more source

