Results 201 to 210 of about 422,144 (319)
A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu +5 more
wiley +1 more source
Explainable Artificial Intelligence in Healthcare: Current Landscape, Challenges, and Future Directions. [PDF]
Shiddik MAB.
europepmc +1 more source
Deep Learning and Artificial Mind: From Neural Networks to the Emergence of Consciousness
Yucong Duan +2 more
openalex +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Machine learning for evolutionary genetics and molecular evolution. [PDF]
Svetec N, Lee U, Zhao L.
europepmc +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
Artificial intelligence-based screening of phytochemicals for targeted cancer therapy. [PDF]
Santiago LR +14 more
europepmc +1 more source
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
Application of machine learning and deep learning in the diagnosis and treatment of inguinal hernia: a narrative review. [PDF]
Liu Y +5 more
europepmc +1 more source
E- Health Tracking Using Deep Learning and Artificial Neural Network
Sarojini Yarramsetti
openalex +1 more source

