Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

View all journals
Search
Log in

nature
search

Search

Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

npj Computational Materials (4)
Scientific Reports (4)
Nature Biotechnology (1)
Scientific Data (1)
npj Digital Medicine (1)

Choose more journals

Article type Check one or more article types to show results from those article types only.

Research (11)
Comments & Opinion (1)
Correspondence (1)

Subject Check one or more subjects to show results from those subjects only.

Cancer
Computational biology and bioinformatics
Diseases
Environmental sciences
Health care
Materials science
Mathematics and computing
Medical research
Nanoscience and technology
Neurology
Oncology
Optics and photonics
Physics
Risk factors
Urology

Date Choose a date option to show results from those dates only.

Today
Last 7 days
Last 30 days
Last 12 months
Last 2 years
Last 5 years

Custom date range

Clear all filters

Sort by:

Relevance

Date published (new to old)

Date published (old to new)

Showing 1–13 of 13 results

Advanced filters: Author: Shinjae Yoo Clear advanced filters

Learning brain dynamics across distinct scaling regimes reveals psychiatric signatures

A transformer-based framework decomposes fMRI signals into biologically informed frequency bands, revealing frequency-specific brain connectivity patterns that improve prediction of cognitive traits and psychiatric disorders across large cohorts.

Sangyoon Bae
Junbeom Kwon
Jiook Cha
ResearchOpen Access08 May 2026
Communications Biology

P: 1-17
Challenges and opportunities in quantum machine learning for high-energy physics

Quantum machine learning may provide powerful tools for data analysis in high-energy physics. Sau Lan Wu and Shinjae Yoo describe how the potential of these tools is starting to be tested and what has been understood thus far.

Sau Lan Wu
Shinjae Yoo
Comments & Opinion15 Feb 2022
Nature Reviews Physics

Volume: 4, P: 143-144
KBase: The United States Department of Energy Systems Biology Knowledgebase

Adam P Arkin
Robert W Cottingham
Dantong Yu
CorrespondenceOpen Access06 Jul 2018
Nature Biotechnology

Volume: 36, P: 566-569
Unveiling nano-scale crystal deformation using coherent X-ray dynamical diffraction

Longlong Wu
David Yang
Ian K. Robinson
ResearchOpen Access14 Dec 2025
npj Computational Materials

Volume: 11, P: 1-8
Ultrafast Bragg coherent diffraction imaging of epitaxial thin films using deep complex-valued neural networks

Xi Yu
Longlong Wu
Ian K. Robinson
ResearchOpen Access29 Jan 2024
npj Computational Materials

Volume: 10, P: 1-9
Resolution-enhanced X-ray fluorescence microscopy via deep residual networks

Longlong Wu
Seongmin Bak
Xiaojing Huang
ResearchOpen Access25 Mar 2023
npj Computational Materials

Volume: 9, P: 1-8
Survival analysis of localized prostate cancer with deep learning

Xin Dai
Ji Hwan Park
Amy C. Justice
ResearchOpen Access24 Oct 2022
Scientific Reports

Volume: 12, P: 1-10
Quantum machine learning with differential privacy

William M. Watkins
Samuel Yen-Chi Chen
Shinjae Yoo
ResearchOpen Access11 Feb 2023
Scientific Reports

Volume: 13, P: 1-18
Three-dimensional coherent X-ray diffraction imaging via deep convolutional neural networks

Longlong Wu
Shinjae Yoo
Ian K. Robinson
ResearchOpen Access28 Oct 2021
npj Computational Materials

Volume: 7, P: 1-8
Machine learning prediction of incidence of Alzheimer’s disease using large-scale administrative health data

Ji Hwan Park
Han Eol Cho
Jiook Cha
ResearchOpen Access26 Mar 2020
npj Digital Medicine

Volume: 3, P: 1-7
Nanoscale measurement of trace element distributions in Spartina alterniflora root tissue during dormancy

Huan Feng
Yu Qian
Chang-Jun Liu
ResearchOpen Access18 Jan 2017
Scientific Reports

Volume: 7, P: 1-12
Simulated sulfur K-edge X-ray absorption spectroscopy database of lithium thiophosphate solid electrolytes

Haoyue Guo
Matthew R. Carbone
Deyu Lu
ResearchOpen Access02 Jun 2023
Scientific Data

Volume: 10, P: 1-8
High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning

Sayera Dhaubhadel
Kumkum Ganguly
Benjamin H. McMahon
ResearchOpen Access20 Jan 2024
Scientific Reports

Volume: 14, P: 1-19