Results 81 to 90 of about 4,635,657 (309)

Explainable & Safe Artificial Intelligence in Radiology

Journal of the Korean Society of Radiology
Artificial intelligence (AI) is transforming radiology with improved diagnostic accuracy and efficiency, but prediction uncertainty remains a critical challenge.
Synho Do
doaj   +1 more source

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

Molecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary, Jose Javier Bravo‐Cordero   +1 more
wiley   +1 more source

Informing Design and Research Concerning Conversationally Explainable AI Systems by Collecting and Distilling Human Explanatory Dialogues

Information
Research into conversationally explainable artificial intelligence (CXAI) aims to emulate the interactive and co-constructive nature of explanations. From the perspective of human-centredness, previous work has shown that AI users prefer conversational ...
Alexander Berman, Christine Howes
doaj   +1 more source

An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data [PDF]

, 2018
The current gold standard for human activity recognition (HAR) is based on the use of cameras. However, the poor scalability of camera systems renders them impractical in pursuit of the goal of wider adoption of HAR in mobile computing contexts ...
Brophy, Eoin, Smeaton, Alan F., Veiga, José Juan Dominguez, Wang, Zhengwei, Ward, Tomas E.   +4 more
core   +1 more source

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

Molecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura, Tadahiro Kuribayashi, Johannes Brägelmann, Sachi Okawa, Masataka Taoka, Shunta Mori, Tomoka Nishimura, Takaaki Tanaka, Go Makimoto, Kiichiro Ninomiya, Kammei Rai, Eiki Ichihara, Ryohei Katayama, Katsuyuki Hotta, Masahiro Tabata, Yosuke Togashi, Yoshinobu Maeda, Martin L. Sos, Katsuyuki Kiura, Kadoaki Ohashi   +19 more
wiley   +1 more source

Transparency and Explainability for Public Policy

LSE Public Policy Review
Governmental decision-making ought to be transparent and understandable by the political community. However, predictively accurate but opaque AI systems have raised moral and legal challenges for governments wishing to use AI for public policy.
Kate Vredenburgh
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

Data Quality and Explainable AI

Journal of Data and Information Quality, 2020
In this work, we provide some insights and develop some ideas, with few technical details, about the role of explanations in Data Quality in the context of data-based machine learning models (ML). In this direction, there are, as expected, roles for causality, and explainable artificial intelligence .
Leopoldo E. Bertossi, Floris Geerts
openaire   +2 more sources

Proteasomal degradation of intracellularly expressed Amblyomin‐X limits suicide gene therapy potential in melanoma cells

FEBS Open Bio, EarlyView.
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel, Carlos DeOcesano Pereira, Aline Ramos Maia Lobba, Melissa Regina Fessel, Ana Marisa Chudzinski‐Tavassi   +4 more
wiley   +1 more source

Use of explainable AI on slit-lamp images of anterior surface of eyes to diagnose allergic conjunctival diseases

Allergology International
Background: Artificial intelligence (AI) is a promising new technology that has the potential of diagnosing allergic conjunctival diseases (ACDs). However, its development is slowed by the absence of a tailored image database and explainable AI models ...
Michiko Yonehara, Yuji Nakagawa, Yuji Ayatsuka, Yuko Hara, Jun Shoji, Nobuyuki Ebihara, Takenori Inomata, Tianxiang Huang, Ken Nagino, Ken Fukuda, Tatsuma Kishimoto, Tamaki Sumi, Atsuki Fukushima, Hiroshi Fujishima, Moeko Kawai, Etsuko Takamura, Eiichi Uchio, Kenichi Namba, Ayumi Koyama, Tomoko Haruki, Shin-ich Sasaki, Yumiko Shimizu, Dai Miyazaki   +22 more
doaj   +1 more source