Results 181 to 190 of about 7,625,042 (246)

Training resources on open and responsible research and innovation (Open RRI): gaps, quality and opportunities to advance training. [PDF]

Open Res Eur
Lagido C, Nielsen K, Kragh G, Flohr P, Bezuidenhout L, Brinkman L, Baini A, Saviane C, Salnikova A, Brandstetter-Kunc A, Consolini G, Correia A, Moura P, Fedeli M, England J, Venkataraman S, Skarvøy A, Konach T, Taraj B, Koller K, Marschalek I, Schrammel M, Jurkovic S, Macan B, Vodopijevec A, Cahill B, Sevilla AG, Pitrelli N, Spera AL, Iasillo C, Príncipe P, De Lorenzo N, Haklay M.   +32 more
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Whole-Genome Variants Resource of 144 Oryza rufipogon Accessions. [PDF]

Sci Data
Zheng L, Mohd Azhan MIH, Ramlee SI, Mohd Hata E, Zulperi D, Gaurav K, Arora S, Md Hatta MA.   +7 more
europepmc   +1 more source

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

Advanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon, Dmitri Gavrilov, Peggy O’Day, Ajith Pattammattel   +3 more
wiley   +1 more source

Region-specific LOI-TOC conversion models for marine sediment blue carbon assessment in the Western Irish Sea. [PDF]

Environ Monit Assess
Grey A, Mhaoldomhnaigh CN, Chatting M, Walsh P, Lee A, Kelleher B, Coughlan M.   +6 more
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Initial Data Analysis for Cancer Registries: A Structured Framework and Demonstration Using Slovenian Cancer Registry Data. [PDF]

Cancers (Basel)
Jurtela M, Lusa L, Žagar T, Bric N, Birk M, Zadnik V.   +5 more
europepmc   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

The data substrate of exposome intelligence: an interoperability profile for untargeted metabolomics. [PDF]

Front Artif Intell
Hartung T.
europepmc   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

Advanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei, Sadman Sadeed Omee, Rongzhi Dong, Nihang Fu, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Meiling Xu, Ming Hu, Chris Wolverton, Jianjun Hu   +9 more
wiley   +1 more source