Results 71 to 80 of about 35,242 (295)

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

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 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   +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

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

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

Mass spectrometry based identification of AMP‐O‐Tris generated by Thermococcus onnurineus Cas10

FEBS Open Bio, EarlyView.
Isolated Thermococcus onnurineus Cas10 generates the noncanonical ATP‐derived product AMP‐O‐Tris while in Tris‐containing buffer as identified via mass spectrometry, revealing relaxed nucleophile selectivity under isolated conditions. These findings suggest that multiprotein Csm complex assembly restricts Cas10 reactivity toward canonical cyclic ...
Su‐Jin Lee, Ga Seul Lee, JinHan Kim, Kwang‐Hyun Park, Seong‐Ryung Go, Jeong Hee Moon, Eui‐Jeon Woo   +6 more
wiley   +1 more source

Pharmacological inhibition of the PERK pathway modulates hepatocellular carcinoma growth and immune signaling

FEBS Open Bio, EarlyView.
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero, Maria Kopsida, Nathalie Arendt, Hans Lennernäs, Markus Sjöblom, Femke Heindryckx   +5 more
wiley   +1 more source

A Scoresheet for Explainable AI

International Joint Conference on Autonomous Agents and Multiagent Systems
Explainability is important for the transparency of autonomous and intelligent systems and for helping to support the development of appropriate levels of trust. There has been considerable work on developing approaches for explaining systems and there are standards that specify requirements for transparency.
Winikoff, Michael, Thangarajah, John, Rodriguez, Sebastian   +2 more
openaire   +3 more sources

Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes

Bioengineering
Depression is a common mental health disorder and a leading contributor to mortality and morbidity. Despite several advancements, the current screening methods have limitations in enabling the robust and automated detection of depression, thereby ...
Doljinsuren Enkhbayar, Jaehoon Ko, Somin Oh, Rumana Ferdushi, Jaesoo Kim, Jaehong Key, Erdenebayar Urtnasan   +6 more
doaj   +1 more source