Results 171 to 180 of about 422,144 (319)
Topology-aware design of spiking neural networks via modular graph architectures. [PDF]
Motaghian F +3 more
europepmc +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
Conformable Fractional Deep Neural Networks (CFDNN) for high-speed cyber-attack detection. [PDF]
Ajarmah B, Iwidat H.
europepmc +1 more source
Deep learning (DL) algorithms are revolutionizing how information is being processed, with multiple applications in the industry and the everyday lives of individuals. This revolution reached scientific research, where such algorithms have started to be applied to handle large amounts of data and to generate more accurate predictions than previous ...
openaire +2 more sources
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño +5 more
wiley +1 more source
AI-driven integration and optimization of medicinal plant multi-omics metabolic networks. [PDF]
Chen J +5 more
europepmc +1 more source
This review highlights recent advancements in stabilizing single metal atoms on graphitic carbon nitride emphasizing innovative synthesis strategies and emerging applications in electrocatalysis, photocatalysis and organic transformations, along with key challenges and future perspective. Abstract Emerging as a new frontier in catalysis science, single‐
Wenyao Zhang +6 more
wiley +1 more source
GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu +11 more
wiley +1 more source

