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Showing 201–250 of 308 results

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Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

The DECIDE-AI checklist, resulting from a multi-stakeholder group of experts in a Delphi process and following the EQUATOR Network’s recommendations, includes key items that should be reported in early-stage clinical studies of AI-based decision support systems, to ensure a responsible and transparent deployment of AI systems in healthcare.

Baptiste Vasey
Myura Nagendran
Zane B. Perkins
Reviews18 May 2022
Nature Medicine

Volume: 28, P: 924-933
Mapping neurotransmitter systems to the structural and functional organization of the human neocortex

Hansen et al. compile and share an atlas of neurotransmitter receptor/transporter densities in the human cortex and show that receptor achitecture reflects brain structure, function, dynamics, cognitive specialization and disease vulnerability.

Justine Y. Hansen
Golia Shafiei
Bratislav Misic
ResearchOpen Access27 Oct 2022
Nature Neuroscience

Volume: 25, P: 1569-1581
Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimization

Pedro Mateus
Leroy Volmer
Inigo Bermejo
ResearchOpen Access24 Oct 2023
Scientific Reports

Volume: 13, P: 1-11
African dust transport and deposition modelling verified through a citizen science campaign in Finland

Outi Meinander
Rostislav Kouznetsov
Ari Laaksonen
ResearchOpen Access04 Dec 2023
Scientific Reports

Volume: 13, P: 1-20
Incorporation of sensing modalities into de novo designed fluorescence-activating proteins

Fluorescent protein reporters based on GFP exist, but have intrinsic disadvantages. Here the authors incorporate pH, Ca²⁺ and protein–protein interaction sensing modalities into de novo designed mini-fluorescence-activating proteins (mFAPs), with increased photostability and smaller size, which bind a range of DFHBI chromophore variants.

Jason C. Klima
Lindsey A. Doyle
David Baker
ResearchOpen Access08 Feb 2021
Nature Communications

Volume: 12, P: 1-19
Time-crystalline eigenstate order on a quantum processor

A study establishes a scalable approach to engineer and characterize a many-body-localized discrete time crystal phase on a superconducting quantum processor.

Xiao Mi
Matteo Ippoliti
Pedram Roushan
ResearchOpen Access30 Nov 2021
Nature

Volume: 601, P: 531-536
Identification of a novel alternative splicing isoform of the Hippo kinase STK3/MST2 with impaired kinase and cell growth suppressing activities

Ana Maria Rodrigues
Ana Paula Zen Petisco Fiore
Alexandre Bruni-Cardoso
Research22 Aug 2024
Oncogene

Volume: 43, P: 2938-2950
Distributed radiomics as a signature validation study using the Personal Health Train infrastructure

Zhenwei Shi
Ivan Zhovannik
Leonard Wee
ResearchOpen Access22 Oct 2019
Scientific Data

Volume: 6, P: 1-8
Development and performance evaluation of fully automated deep learning-based models for myocardial segmentation on T1 mapping MRI data

Mathias Manzke
Simon Iseke
Felix G. Meinel
ResearchOpen Access14 Aug 2024
Scientific Reports

Volume: 14, P: 1-12
Towards automated long-term acoustic monitoring of endangered river dolphins: a case study in the Brazilian Amazon floodplains

Florence Erbs
Marina Gaona
Michel André
ResearchOpen Access27 Jul 2023
Scientific Reports

Volume: 13, P: 1-14
Fast crystal growth of ice VII owing to the decoupling of translational and rotational ordering

The authors combine molecular dynamics (MD) simulations and machine learning (ML) to study the melt growth of three ice polymorphs, Ih, VII and plastic ice. MD data indicate much faster growth rates for ice VII and plastic Approved ice, while the ML analysis suggests that ice VII grows via a thin ice plastic layer, which is formed at its growth front.

Xuan Zhang
Yifeng Yao
Kenji Mochizuki
ResearchOpen Access04 Jul 2023
Communications Physics

Volume: 6, P: 1-11
Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of simulated neutrino interactions

The paper addresses the task of extracting individual objects from multi-dimensional overlapping-sparse images, with valuable impact in high-energy physics (future high-precision long-baseline neutrino oscillation experiments). The developed tool will allow to reduce systematic errors and avoid model dependence, improving the neutrino energy resolution and sensitivity.

Saúl Alonso-Monsalve
Davide Sgalaberna
André Rubbia
ResearchOpen Access01 Jun 2024
Communications Physics

Volume: 7, P: 1-14
Insect pests and natural enemies associated with lettuce Lactuca sativa L. (Asteraceae) in an aquaponics system

Tamara Machado da Silva
Francisco Jorge Cividanes
Terezinha Monteiro dos Santos-Cividanes
ResearchOpen Access28 Jun 2024
Scientific Reports

Volume: 14, P: 1-12
A 3D structural SARS-CoV-2–human interactome to explore genetic and drug perturbations

This three-dimensional structural SARS-CoV-2–human interactome web server allows hypothesis-driven exploration of the mechanisms of SARS-CoV-2 pathology and host response.

Shayne D. Wierbowski
Siqi Liang
Haiyuan Yu
Research29 Nov 2021
Nature Methods

Volume: 18, P: 1477-1488
A distributed feature selection pipeline for survival analysis using radiomics in non-small cell lung cancer patients

Benedetta Gottardelli
Varsha Gouthamchand
Andrea Damiani
ResearchOpen Access03 Apr 2024
Scientific Reports

Volume: 14, P: 1-12
PSYSCAN multi-centre study: baseline characteristics and clinical outcomes of the clinical high risk for psychosis sample

Stefania Tognin
Sandra Vieira
Philip McGuire
ResearchOpen Access17 Apr 2025
Schizophrenia

Volume: 11, P: 1-9
Mapping tuberculosis prevalence in Africa using a Bayesian geospatial analysis

Liyew et al. predict the subnational and local-level prevalence of tuberculosis (TB) in Africa. The findings reveal significant variations in TB prevalence across different local areas.

Alemneh Mekuriaw Liyew
Eyob Alemayehu Gebreyohannes
Kefyalew Addis Alene
ResearchOpen Access27 May 2025
Communications Medicine

Volume: 5, P: 1-7
Early differentiation of mesenchymal stem cells is reflected in their dielectrophoretic behavior

Ioan Tivig
Leslie Vallet
Tudor Savopol
ResearchOpen Access21 Feb 2024
Scientific Reports

Volume: 14, P: 1-10
Metabolic rescue in pluripotent cells from patients with mtDNA disease

Mutations in mitochondrial (mt)DNA are associated with severe disorders for which treatment is currently limited; this study shows that mtDNA mutations can be genetically corrected and normal metabolic function restored in cells derived from patients with mtDNA disease and reprogrammed to pluripotency through factor-mediated reprogramming or via a somatic cell nuclear transfer approach.

Hong Ma
Clifford D. L. Folmes
Shoukhrat Mitalipov
Research15 Jul 2015
Nature

Volume: 524, P: 234-238
Complete chloroplast genomes of six neotropical palm species, structural comparison, and evolutionary dynamic patterns

Ana Flávia Francisconi
Jonathan Andre Morales Marroquín
Maria Imaculada Zucchi
ResearchOpen Access23 Nov 2023
Scientific Reports

Volume: 13, P: 1-15
Emergent constraints on global soil moisture projections under climate change

Bivariate Emergent Constraints can reduce soil moisture uncertainty by 7.87%, compared to temperature-based univariate constraints, but may worsen drying trends in arid and hyper-arid regions, according to a bivariate Emergent Constraints method, utilizing observed temperature and precipitation trends to constrain soil moisture changes.

Lei Yao
Guoyong Leng
Jian Peng
ResearchOpen Access20 Jan 2025
Communications Earth & Environment

Volume: 6, P: 1-8
Accessibility inequality across Europe: a comparison of 15-minute pedestrian accessibility in cities with 100,000 or more inhabitants

David Vale
André Soares Lopes
ResearchOpen Access17 Nov 2023
npj Urban Sustainability

Volume: 3, P: 1-13
Genome interpretation in a federated learning context allows the multi-center exome-based risk prediction of Crohn’s disease patients

Daniele Raimondi
Haleh Chizari
Yves Moreau
ResearchOpen Access09 Nov 2023
Scientific Reports

Volume: 13, P: 1-11
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks

Ragnhild Holden Helland
Alexandros Ferles
David Bouget
ResearchOpen Access02 Nov 2023
Scientific Reports

Volume: 13, P: 1-13
Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task

Normative modelling of fMRI task-activation characterizes the influence of different task choices, and provides a method to map replicable individual differences and their multivariate associations with transdiagnostic symptom domains.

Hannah S. Savage
Peter C. R. Mulders
Andre F. Marquand
ResearchOpen Access20 Jul 2024
Communications Biology

Volume: 7, P: 1-14
Comparative analysis of vision transformers and convolutional neural networks in osteoporosis detection from X-ray images

Ali Sarmadi
Zahra Sadat Razavi
Madjid Soltani
ResearchOpen Access03 Aug 2024
Scientific Reports

Volume: 14, P: 1-17
The temporal structure of the inner retina at a single glance

Zhijian Zhao
David A. Klindt
Thomas Euler
ResearchOpen Access10 Mar 2020
Scientific Reports

Volume: 10, P: 1-17
Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Alberto Romagnoni
Simon Jégou
Pamela Whittaker
ResearchOpen Access17 Jul 2019
Scientific Reports

Volume: 9, P: 1-18
The Fourier transform in analytical science

The Fourier transform is a mathematical tool for analysing signals that vary in space or time via a transform into the frequency domain. This Primer explores how the Fourier transform is used in analytical science, particularly for spectroscopic data, with an overview of theoretical and experimental considerations.

Marc-André Delsuc
Peter O’Connor
Reviews18 Jul 2024
Nature Reviews Methods Primers

Volume: 4, P: 1-16
Predictability and persistence of prebiotic dietary supplementation in a healthy human cohort

Thomas Gurry
Paul H. Dannenberg
Eric J. Alm
ResearchOpen Access23 Aug 2018
Scientific Reports

Volume: 8, P: 1-13
Phase-separating resins for light-based three-dimensional printing of oxide glasses

Lorenzo Barbera
Henry Korhonen
André R. Studart
ResearchOpen Access29 May 2024
Scientific Reports

Volume: 14, P: 1-10
Georeferenced dataset of maritime piracy in the Gulf of Guinea from 2010 to 2021

Ricardo Moura
Nuno Pessanha Santos
Miguel de Castro Neto
ResearchOpen Access07 Dec 2023
Scientific Data

Volume: 10, P: 1-11
Vy-PER: eliminating false positive detection of virus integration events in next generation sequencing data

Michael Forster
Silke Szymczak
Andre Franke
ResearchOpen Access13 Jul 2015
Scientific Reports

Volume: 5, P: 1-13
Exploring winter diet, gut microbiota and parasitism in caribou using multi-marker metabarcoding of fecal DNA

Mélissande Nagati
Marie-Josée Bergeron
Christine Martineau
ResearchOpen Access14 Nov 2024
Scientific Reports

Volume: 14, P: 1-16
Impacts of agriculture and snow dynamics on catchment water balance in the U.S. and Great Britain

The U.S. Budyko water balance is influenced by snow fraction and irrigation, driving changes in aridity-streamflow dynamics, while deviations in Great Britain are driven by precipitation-streamflow dynamics, according to an analysis of 1,342 catchments.

Masoud Zaerpour
Shadi Hatami
Martyn P. Clark
ResearchOpen Access22 Nov 2024
Communications Earth & Environment

Volume: 5, P: 1-14
AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection

Austin Clyde
Xuefeng Liu
Rick Stevens
ResearchOpen Access06 Feb 2023
Scientific Reports

Volume: 13, P: 1-14
Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs

Andre K. Y. Low
Flore Mekki-Berrada
Kedar Hippalgaonkar
ResearchOpen Access13 May 2024
npj Computational Materials

Volume: 10, P: 1-11
Inferring molecular inhibition potency with AlphaFold predicted structures

Pedro F. Oliveira
Rita C. Guedes
Andre O. Falcao
ResearchOpen Access08 Apr 2024
Scientific Reports

Volume: 14, P: 1-13
Artificial intelligence-driven design of fuel mixtures

Practical liquid fuels involve hundreds of chemical species, making the prediction of mixture properties a key bottleneck for fuel design. Here, the authors develop an artificial intelligence framework to predict how interactions between molecules correlate with specific fuel properties and propose an optimized fuel mix.

Nursulu Kuzhagaliyeva
Samuel Horváth
S. Mani Sarathy
ResearchOpen Access16 Sept 2022
Communications Chemistry

Volume: 5, P: 1-10
A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images

Arslan et al. present the results of a comprehensive pan-cancer study evaluating deep learning-based multi-omic biomarker profiling using H&E-stained whole slide images. They show that deep learning can predict a wide range of biomarkers across the omics spectrum and in different cancers directly from histomorphology.

Salim Arslan
Julian Schmidt
Pahini Pandya
ResearchOpen Access15 Mar 2024
Communications Medicine

Volume: 4, P: 1-15
Spatial and temporal analysis of cumulative environmental effects of offshore wind farms in the North Sea basin

Laura Florentina Gușatu
Stefano Menegon
Claudia Yamu
ResearchOpen Access12 May 2021
Scientific Reports

Volume: 11, P: 1-18
A cognitive fingerprint in human random number generation

Marc-André Schulz
Sebastian Baier
Karsten Witt
ResearchOpen Access12 Oct 2021
Scientific Reports

Volume: 11, P: 1-7
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Laura K. M. Han
Richard Dinga
Lianne Schmaal
ResearchOpen Access18 May 2020
Molecular Psychiatry

Volume: 26, P: 5124-5139
Evaluating drug targets through human loss-of-function genetic variation

Analysis of predicted loss-of-function variants from 125,748 human exomes and 15,708 whole genomes in the Genome Aggregation Database (gnomAD) provides a roadmap for human ‘knockout’ studies and a guide for future research into disease biology and drug-target selection.

Eric Vallabh Minikel
Konrad J. Karczewski
Daniel G. MacArthur
ResearchOpen Access27 May 2020
Nature

Volume: 581, P: 459-464
Using unique surface patterns of injection moulded plastic components as an image based Physical Unclonable Function for secure component identification

Benedikt Wigger
Thomas Meissner
André Zimmermann
ResearchOpen Access16 Mar 2018
Scientific Reports

Volume: 8, P: 1-9
Neuronal activity remodels the F-actin based submembrane lattice in dendrites but not axons of hippocampal neurons

Flavie Lavoie-Cardinal
Anthony Bilodeau
Paul De Koninck
ResearchOpen Access20 Jul 2020
Scientific Reports

Volume: 10, P: 1-17
Monitoring pollution pathways in river water by predictive path modelling using untargeted GC-MS measurements

Maria Cairoli
André van den Doel
Jeroen Jansen
ResearchOpen Access28 Jun 2023
npj Clean Water

Volume: 6, P: 1-13
AmeriFlux BASE data pipeline to support network growth and data sharing

Housen Chu
Danielle S. Christianson
Margaret S. Torn
ResearchOpen Access11 Sept 2023
Scientific Data

Volume: 10, P: 1-13
Unsaturated fatty acids as high-affinity ligands of the C-terminal Per-ARNT-Sim domain from the Hypoxia-inducible factor 3α

Angela M. Fala
Juliana F. Oliveira
Andre L. B. Ambrosio
ResearchOpen Access03 Aug 2015
Scientific Reports

Volume: 5, P: 1-9
A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading

Andrey Morozov
Mark Taratkin
Dmitry Enikeev
Reviews25 Apr 2023
Prostate Cancer and Prostatic Diseases

Volume: 26, P: 681-692

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