Results 51 to 60 of about 138,439 (148)

Bayesian Meta‐Learning for Few‐Shot Reaction Outcome Prediction of Asymmetric Hydrogenation of Olefins

Angewandte Chemie, EarlyView.
A Bayesian meta‐learning framework is proposed for reaction outcome prediction in low‐data settings. It utilizes a literature‐mined dataset on asymmetric hydrogenation of olefins to build a pre‐trained model. This meta‐model is shown to return better predictions as compared to single‐tasks methods, such as random forest and graph neural networks, given
Sukriti Singh, José Miguel Hernández‐Lobato   +1 more
wiley   +2 more sources

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

Advanced Intelligent Systems, EarlyView.
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding, Tianliang Yao, Genyi Feng, Xueqing Gao, Xusen Sun, Rong Luo   +5 more
wiley   +1 more source

Phylogenetic relationships and the identification of allopolyploidy in circumpolar Silene sect. Physolychnis

American Journal of Botany, EarlyView.
Abstract Premise Species complexes are groups of closely related species with ambiguous delimitation, often composed of recently diverged lineages. Polyploidization and uniparental reproduction (i.e., selfing and apomixis) can play important roles in the origin of species complexes. These complexes pose challenges for species‐based scientific questions,
Anne‐Sophie Quatela, Patrik Cangren, Paola de Lima Ferreira, Yannick Woudstra, Andreas Zsoldos‐Skahjem, Christine D. Bacon, Hugo J. de Boer, Bengt Oxelman   +7 more
wiley   +1 more source

Community‐engaged crime prevention through environmental design and reductions in violent and firearm crime

American Journal of Community Psychology, EarlyView.
Abstract In the U.S., crime and violence are concentrated in cities that have lost industry and population due to economic disinvestment and structurally racist policies. Researchers, practitioners, and policymakers have called for community‐level approaches that reduce violence in these cities by improving unsafe physical environments, increasing ...
Laney A. Rupp, Shaun Bhatia, Daniel B. Lee, Rachel Wyatt, Gregory Bushman, Thomas A. Wyatt, Jesenia M. Pizarro, Caroline Wixom, Marc A. Zimmerman, Thomas M. Reischl   +9 more
wiley   +1 more source

Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the field to respond to the question about how AI is affecting, and especially how AI will ...
Benjamin D. Solomon, Morgan Cheatham, Thales A. C. de Guimarães, Dat Duong, Melissa A. Haendel, Tzung‐Chien Hsieh, Behnam Javanmardi, Britt Johnson, Peter Krawitz, Paul Kruszka, Tim Laurent, Ni‐Chung Lee, Kirsty McWalter, Michel Michaelides, Klaus Mohnike, Nikolas Pontikos, Maria J. Guillen Sacoto, Yousif J. Shwetar, Vincent D. Ustach, Rebekah L. Waikel, William Woof   +20 more
wiley   +1 more source

Opportunities in Middle Childhood: Multiple System Involvement During Middle Childhood and Early Adolescence in Northern Territory, Australia

Australian Journal of Social Issues, EarlyView.
ABSTRACT Middle childhood offers a crucial window to identify and support children at risk of adverse outcomes in adolescence. This retrospective cohort study examined how data from multiple systems could identify children with the greatest need for support during middle childhood and early adolescence. Using individual level linked records from health,
Vincent Yaofeng He, Jenny Williams, Steven Roche, Tamika Williams, Steven Guthridge   +4 more
wiley   +1 more source

AI in Neurology: Everything, Everywhere, All at Once Part 3: Surveillance, Synthesis, Simulation, and Systems

Annals of Neurology, EarlyView.
This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley   +1 more source

Association Between Vascular NOTCH3 Aggregation and Disease Severity in a CADASIL Cohort – Implications for NOTCH3 Variant‐Specific Disease Prediction

Annals of Neurology, EarlyView.
Objective Vascular NOTCH3 protein ectodomain aggregation is a pathological hallmark of cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), a monogenic small vessel disease typically caused by cysteine‐altering variants in NOTCH3.
Minne N. Cerfontaine, Gido Gravesteijn, Remco J. Hack, Kyra L. Dijkstra, Mar Rodríguez‐Girondo, Benno Gesierich, Marie‐Noëlle W. Witjes‐Ané, Remco van Doorn, Marco Duering, Julie W. Rutten, Saskia A. J. Lesnik Oberstein   +10 more
wiley   +1 more source

Quantitative Analysis of Fluorescent Sensor Arrays

Analysis &Sensing, Accepted Article.
Fluorescent sensor arrays address the limitations of a single sensor by leveraging multiple sensing elements to generate unique response patterns for each of the analyte of interest. This approach has emerged as a powerful tool for identifying and analysing intricate chemical and biological environments using various multivariate analytical tools such ...
Karandeep Grover, Muhammad Tahir Waseem, Haobo Guo, Elizabeth New   +3 more
wiley   +1 more source

Sloppiness Consistency in Biomechanical Models and Its Inspired Dual‐Space Model Optimization

Advanced Physics Research, EarlyView.
This study addresses the challenge of balancing complexity, accuracy, and parameter identifiability in soft tissue constitutive modeling. By leveraging information geometry and sensitivity analysis, the sloppiness inherent in biomechanical models is revealed, and a model reduction framework is proposed. This approach optimizes parameter identifiability
Jiabao Tang, Wenyang Liu, Yiqi Mao, Shujuan Hou   +3 more
wiley   +1 more source