Emilie D Duchesneau

Big Data for Geriatric Oncology Research

N C Med J. 2024;85(1):20-24. doi: 10.18043/001c.91420. Epub 2024 Jan 9.ABSTRACTCancer is the second leading cause of death in North Carolina and approximately half of cancers are diagnosed in older adults (≥65 years). Cancer clinical trials in older adults are limited and there is a lack of evidence

E Emilie D Duchesneau
R A Jordan

Big Data in Epidemiology: Brave New World?

J Dent Res. 2024 Oct 2:220345241272034. doi: 10.1177/00220345241272034. Online ahead of print.ABSTRACTEpidemiology is experiencing a significant shift toward the utilization of big data for health monitoring and decision-making. This article discusses the recent example of the World Health Organizat

R R A Jordan
Liangquan Yan

HF-CMN: a medical report generation model for heart failure

Med Biol Eng Comput. 2024 Oct 3. doi: 10.1007/s11517-024-03197-7. Online ahead of print.ABSTRACTHeart failure represents the ultimate stage in the progression of diverse cardiac ailments. Throughout the management of heart failure, physicians require observation of medical imagery to formulate thera

L Liangquan Yan
Yu Du

Deep learning-based multi-frequency denoising for myocardial perfusion SPECT

EJNMMI Phys. 2024 Oct 2;11(1):80. doi: 10.1186/s40658-024-00680-w.ABSTRACTBACKGROUND: Deep learning (DL)-based denoising has been proven to improve image quality and quantitation accuracy of low dose (LD) SPECT. However, conventional DL-based methods used SPECT images with mixed frequency components

Y Yu Du
Sunghyo Seo

Improving I-ELM structure through optimal addition of hidden nodes: Compact I-ELM

Sci Rep. 2024 Oct 1;14(1):22782. doi: 10.1038/s41598-024-74446-w.ABSTRACTIncremental extreme learning machines (I-ELMs) can automatically determine the structure of neural networks and achieve high learning speeds. However, during the process of adding hidden nodes, unnecessary hidden nodes that hav

S Sunghyo Seo
Shangrong Lin

A 30-m gross primary production dataset from 2016 to 2020 in China

Sci Data. 2024 Oct 1;11(1):1065. doi: 10.1038/s41597-024-03893-x.ABSTRACTEstimating gross primary production (GPP) of terrestrial ecosystems is important for understanding the terrestrial carbon cycle. However, existed nationwide GPP datasets are primarily driven by coarse spatial resolutions (≥500

S Shangrong Lin
Fatma Guermazi

Social media addiction and personality dimensions among Tunisian medical students

Front Psychiatry. 2024 Sep 16;15:1471425. doi: 10.3389/fpsyt.2024.1471425. eCollection 2024.ABSTRACTPURPOSE: Social media (SM) has become a common activity for today's young people. It is sometimes overused and potentially results in SM addiction. This study aims to assess SM addiction and its assoc

F Fatma Guermazi
Anna Aksenova

Current state of data stewardship tools in life science

Front Big Data. 2024 Sep 16;7:1428568. doi: 10.3389/fdata.2024.1428568. eCollection 2024.ABSTRACTIn today's data-centric landscape, effective data stewardship is critical for facilitating scientific research and innovation. This article provides an overview of essential tools and frameworks for mode

A Anna Aksenova
Chaowei Zhou

Chromosome-level genome assembly and population genomic analysis provide insights into the genetic diversity and adaption of Schizopygopsis younghusbandi on the Tibetan Plateau

Integr Zool. 2024 Sep 30. doi: 10.1111/1749-4877.12910. Online ahead of print.ABSTRACTThe Yarlung Tsangpo River on the Tibetan Plateau provides a unique natural environment for studying fish evolution and ecology. However, the genomes and genetic diversity of plateau fish species have been rarely re

C Chaowei Zhou