Results 121 to 130 of about 1,214,867 (285)

Cell surface CD11c as a neutrophil aging marker molecule

FEBS Open Bio, EarlyView.
Cell surface CD11chi neutrophils were more aged and had better phagocytic function than CD11c−/lo neutrophils. Transcriptomic analysis of CD11chi neutrophils and CD11c−/lo neutrophils in pediatric population showed that the most difference was seen in infants.
Sophia Koutsogiannaki, Fahd Alhamdan, Erik Malm, Marie Bermudez, Samuel Y. Kim, Koichi Yuki   +5 more
wiley   +1 more source

Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach.

PLoS Computational Biology
Glaucoma is a leading global cause of blindness, making early detection essential. This paper introduces GlaucoXAI (Glaucoma Explainable AI), an advanced computer-aided diagnosis (CAD) model that integrates machine learning and explainable AI for ...
Debendra Muduli, Santosh Kumar Sharma, Sujata Dash, Bernardo Lemos, Saurav Mallik   +4 more
doaj   +1 more source

The C‐terminal truncated splicing variant of NK1R negatively modulates substance P‐stimulated NK1R signaling

FEBS Open Bio, EarlyView.
The neurokinin 1 receptor exists as full‐length (NK1L) and C‐terminally truncated (NK1S) splice variants. We show that NK1S heterodimerizes with NK1L, impairing Gαq coupling and Ca2+ mobilization while enhancing β‐arrestin1 recruitment. NK1S suppresses substance P‐driven gene expression and cell migration, revealing NK1S as an endogenous biased ...
Lan Phuong Nguyen, Duc Trung Nguyen, Minyoung Cho, Jihun Kim, Soyeon In, Thai Uy Nguyen, Sunghoon Hurh, Beom Jin Park, Jong‐Ik Hwang   +8 more
wiley   +1 more source

The C‐terminal domain of yeast Arginyltransferase1 is essential for its catalytic activity

FEBS Open Bio, EarlyView.
Arginyltransferase 1 (Ate1), a eukaryotic enzyme, catalyses arginylation, transferring arginine from tRNA‐Arg to the amino terminus of the target protein. Overexpression of Ate1 in yeast is lethal and is dependent on arginylation. This study elucidates how mutations in the cofactor‐binding and active site of Ate1 and truncation of its structural ...
Vikas Kumar Yadav, Shweta Shweta, Manisha Malhotra, Vikash Maurya, Akhilesh Kumar   +4 more
wiley   +1 more source

Explainable artificial intelligence in air traffic control: effects of expertise on workload, acceptance, and usage intentions

Brain Informatics
Explainability is crucial for establishing user trust in Artificial Intelligence (AI), particularly within safety-critical domains such as Air Traffic Management (ATM) and Air Traffic Control (ATC).
Giulia Cartocci, Alexandre Veyrié, Nicola Cavagnetto, Christophe Hurter, Augustin Degas, Ana Ferreira, Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Bianca Maria Serena Inguscio, Vincenzo Ronca, Gianluca Borghini, Gianluca Di Flumeri, Fabio Babiloni, Pietro Aricò   +14 more
doaj   +1 more source

Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors

Frontiers in Radiology
In neuro-oncology, MR imaging is crucial for obtaining detailed brain images to identify neoplasms, plan treatment, guide surgical intervention, and monitor the tumor's response.
Eric W. Prince, Eric W. Prince, Eric W. Prince, David M. Mirsky, David M. Mirsky, Todd C. Hankinson, Todd C. Hankinson, Carsten Görg, Carsten Görg   +8 more
doaj   +1 more source

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

FEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court, Nigel Francis, Andrew Shore, Stephen Rutherford   +3 more
wiley   +1 more source

A closed-loop paradigm for precision oncology: Integrating dynamic monitoring, organoid models, and explainable AI

Pharmacological Research
Background: Precision oncology faces three systemic bottlenecks: static molecular snapshots fail to capture tumor dynamics, patient‑derived organoids lack physiological reconstruction of the tumor microenvironment (TME), and artificial intelligence (AI ...
Yanan Liu, Yaping Wang, Xiaoxia Huang, Yang Li, Aibei Zhu, Mengyuan Wang, Hangping Yao, Li-Guo Liang   +7 more
doaj   +1 more source

Evaluating Actionability in Explainable AI

A core assumption of Explainable AI (XAI) is that explanations are useful to users -- that is, users will do something with the explanations. Prior work, however, does not clearly connect the information provided in explanations to user actions to evaluate effectiveness. In this paper, we articulate this connection.
Gennie Mansi, Julia Kim, Mark Riedl
openaire   +2 more sources

Recent insights into the molecular mechanism of ubiquinol oxidation by cytochrome bc1

FEBS Open Bio, EarlyView.
The review reflects on the mechanism of the catalytic reaction in cytochrome bc1: the electron bifurcation that involves the separation of two electrons derived from the quinol oxidation to opposite sides of the enzyme across the membrane. This review summarizes the long‐standing effort to understand the mechanism of quinol oxidation catalyzed by ...
Anna Wójcik‐Augustyn, Artur Osyczka, Marcin Sarewicz   +2 more
wiley   +1 more source