Results 81 to 90 of about 1,214,867 (285)

Paclitaxel induces NM2‐dependent cellular contraction through GEF‐H1 dissociation from microtubules and RhoA/ROCK activation in cancer cells

Molecular Oncology, EarlyView.
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez, Rafael Pérez‐Díaz, Hugo Ramos‐Solano, Marina Garrido‐Casado, Vanessa C. Talayero, Miguel Vicente‐Manzanares   +5 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

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

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

A framework for assessing and certifying explainability of health-oriented AI systems

, 2023
Explainability has been recognized as one of the key tenets for the development of trustworthy AI systems for health-related applications. As regulation for AI is being developed, organizations deploying health-oriented AI systems will have to comply ...
Amini, Amin, Denzel, Philipp, Luley, Paul-Philipp, Chavarriaga, Ricardo, Brunner, Stefan, Frischknecht-Gruber, Carmen, Reif, Monika Ulrike, Repetto, Marco, Weng, Joanna, Iranfar, Arman, Schilling, Frank-Peter   +10 more
core   +2 more sources

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

Explaining AI Without Code: A User Study on Explainable AI

CoRR
The increasing use of Machine Learning (ML) in sensitive domains such as healthcare, finance, and public policy has raised concerns about the transparency of automated decisions. Explainable AI (XAI) addresses this by clarifying how models generate predictions, yet most methods demand technical expertise, limiting their value for novices.
Natalia Abarca, Andrés Carvallo, Claudia López Moncada, Felipe Bravo-Marquez   +3 more
openaire   +3 more sources

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 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

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