Results 191 to 200 of about 8,346 (256)
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
NRPS and PKS pathways in actinomycetes: A review of biosynthetic diversity and bioactive potential. [PDF]
Chauhan A +7 more
europepmc +1 more source
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
Advanced Sensors for Intelligent Robotic Systems: Vision, Touch, and Dexterous Manipulation. [PDF]
Wu Y, Wang X, Shen Y, Xia C.
europepmc +1 more source
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
Blue carbon sequestration: An unintended driving force for marine pollution. [PDF]
Hou R, Feng JC, Zhang S.
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Drifting in the abyss: an in-situ observation of swimming in <i>Psychropotes</i> (Psychropotidae, Elasipodida, Holothuroidea). [PDF]
Bribiesca-Contreras G +7 more
europepmc +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Seeing the unseen: problematic narratives and the microbial worlds of the deep-sea. [PDF]
Brandt TJ.
europepmc +1 more source

