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Artificial Intelligence Technology [PDF]

open access: yes, 2023
This open access book aims to give our readers a basic outline of today’s research and technology developments on artificial intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research ...
Huawei Technologies Co., Ltd.
core   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

open access: yesMolecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Risk prediction model for cannabis use with artificial intelligence approach

open access: yes, 2023
Background Identifying the most important predictors of substance use is crucial for developing effective prevention policies. Traditional statistical methods have some limitations in this regard.
Subasi, A   +2 more
core   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

open access: yesFEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz   +6 more
wiley   +1 more source

Human Mobility Datasets in the Complex Metro System of Shanghai

open access: yesScientific Data
The growing role of metro systems in urban mobility calls for high-quality metro transit datasets. Derived from over 700 million smart card records, an open-sourced, city-scale metro flow dataset was constructed, covering the period of May-August 2017 ...
Peiyan Sun   +12 more
doaj   +1 more source

Designing and understanding light-harvesting devices with machine learning

open access: yesNature Communications, 2020
Photon-induced charge separation phenomena are at the heart of light-harvesting applications but challenging to be described by quantum mechanical models.
Florian Häse   +3 more
doaj   +1 more source

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

open access: yesFEBS 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   +3 more
wiley   +1 more source

DialogueNeRF: towards realistic avatar face-to-face conversation video generation

open access: yesVisual Intelligence
Conversation is an essential component of virtual avatar activities in the metaverse. With the development of natural language processing, significant breakthroughs have been made in text and voice conversation generation.
Yichao Yan   +4 more
doaj   +1 more source

White paper. Ethics and trustworthiness of artificial intelligence in clinical surgery [PDF]

open access: yes, 2023
This white paper documents the consensus opinion of the Artificial Intelligence Surgery (AIS) task force on Artificial Intelligence (AI) Ethics and the AIS Editorial Board Study Group on Ethics on the ethical considerations and current trustworthiness of
Rashidian N   +9 more
core  

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

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