Results 81 to 90 of about 35,242 (295)

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Explainable gradient convolutional vector fuzzy pattern analysis based on ensemble model for facial expression recognition

Frontiers in Big Data
Facial expression recognition using machine learning involves training algorithms to identify and categorize human emotions based on visual cues from facial features.
Lakshmi Sarvani Videla, Babu Reddy Mukamalla   +1 more
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Explainable AI, energy and critical infrastructure systems

The AAAI 2025 Bridge on “Explainable AI, Energy and Critical Infrastructure Systems” was held at the Pennsylvania Convention Centre, Philadelphia, Pennsylvania, USA, on February 25, 2025.
Eliades, Demetrios, Korre, Anna, Artelt, André, Leofante, Francesco, Miller, Tim, Toni, Francesca   +5 more
core   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

The Contemplation of Explainable Artificial Intelligence Techniques: Model Interpretation using Explainable AI

, 2022
Machine intelligence and data science are two disciplines that are attempting to develop Artificial Intelligence. Explainable AI is one of the disciplines being investigated, with the goal of improving the transparency of black-box systems.
Tavishee Chauhan, Sonawane, Sheetal, Chauhan, Tavishee, Sheetal Sonawane   +3 more
core   +1 more source

EXPLAINABLE AND SECURE ARTIFICIAL INTELLIGENCE FRAMEWORKS FOR CRISPR GENOMICS: ADVANCES, LIMITATIONS, SIMULATION SYSTEMS, AND BLOCKCHAIN-ENABLED TRANSLATIONAL INTEGRATION

Journal of Bioinformatics and Genomics
Artificial intelligence (AI) has significantly accelerated CRISPR-Cas genome editing by improving guide RNA (gRNA) design, off-target prediction, DNA repair outcome estimation, and prime-editing optimization.
Raghu Ram Chowdary V., Raja Rao M.
doaj   +1 more source

Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA

FEBS Open Bio, EarlyView.
PTMD codons were first described by Mendel et al. as mediators of an mRNA decay pathway dependent on the human protein CNOT3, homologous to yeast Not5. Our findings confirm that PTMD codons destabilize transcripts; however, unlike in yeast, the human pathway specifically targets and slightly destabilizes primarily stable mRNAs.
Rodolfo Lopes Carneiro, Fernando Lucas Palhano   +1 more
wiley   +1 more source

Explainable AI and echo state networks calibrate trust in human machine interaction

Scientific Reports
Trust in human-machine interaction is a critical factor for the performance of AI systems, but achieving it is still challenging because many AI models are considered black-box.
Sijia Hao, Fei Teng, Ruipeng Hou, Lanwen Zhang, Han Wu, Jinling Qi   +5 more
doaj   +1 more source

Unlocking AI’s Potential

Weizenbaum Journal of the Digital Society
Rapid advances in artificial intelligence (AI) have fueled high expectations for the technology’s potential to fundamentally transform our economy and society through automation.
Peter Buxmann, Sara Ellenrieder
doaj   +1 more source