Results 61 to 70 of about 200,089 (297)

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

mit-ll-responsible-ai/equine: v0.1.3rc

<h2>What's Changed</h2> <ul> <li>Enable concomitant visualization capability for the GP in the web-app by @nukularrr in https://github.com/mit-ll-responsible-ai/equine/pull/36</li> <li>Removed no_grad statement from GP
RoundOffError, Garrett Botkin, Allan Wollaber   +2 more
core   +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

Artificial intelligence: risks and their minimization practices

Овощи России
Relevance. The study focuses on minimizing the risks associated with artificial intelligence (AI) application in vegetable farming, aligning with global trends such as Responsible AI and AgriTech Sustainability.Methods.
T. Yu. Shabanov, A. A. Kopchenov
doaj   +1 more source

Responsible AI Agents

Thanks to advances in large language models, a new type of software agent, the artificial intelligence (AI) agent, has entered the marketplace. Companies such as OpenAI, Google, Microsoft, and Salesforce promise their AI Agents will go from generating passive text to executing tasks.
Deven R. Desai, Mark O. Riedl
openaire   +2 more sources

mit-ll-responsible-ai/hydra-zen: Release v0.8.0rc3

, 2022
See ...
Ryan Soklaski, Justin Goodwin, Lou Bellaire   +2 more
core   +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

Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns

, 2021
Although artificial intelligence (AI) is solving real-world challenges and transforming industries, there are serious concerns about its ability to behave and make decisions in a responsible way.
Lu, Q, Zhu, L, Sanderson, Conrad, Lu, Qinghua, Zhu, Liming, Whittle, J, Douglas, David, Xu, X, Whittle, Jon, Sanderson, C, Xu, Xiwei, Douglas, D   +11 more
core   +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

AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities

Proceedings of the International Florida Artificial Intelligence Research Society Conference
There is a burgeoning interest in harnessing artificial intelligence (AI) to enhance patient flow within emergency departments (EDs). However, this advancement is accompanied by a significant risk: by relying on historical healthcare data, these AI tools
Dylan Russon, Marta Avalos, Ariel Guerra-Adames, Cédric Gil-Jardiné, Emmanuel Lagarde   +4 more
doaj   +1 more source