Transforming diabetes care through artificial intelligence: the future is here

I Dankwa-Mullan, M Rivo, M Sepulveda… - Population health …, 2019 - liebertpub.com
An estimated 425 million people globally have diabetes, accounting for 12% of the world's
health expenditures, and yet 1 in 2 persons remain undiagnosed and untreated …

Disease diagnosis in smart healthcare: Innovation, technologies and applications

KT Chui, W Alhalabi, SSH Pang, PO Pablos, RW Liu… - Sustainability, 2017 - mdpi.com
To promote sustainable development, the smart city implies a global vision that merges
artificial intelligence, big data, decision making, information and communication technology …

Graph-based prediction of protein-protein interactions with attributed signed graph embedding

F Yang, K Fan, D Song, H Lin - BMC bioinformatics, 2020 - Springer
Abstract Background Protein-protein interactions (PPIs) are central to many biological
processes. Considering that the experimental methods for identifying PPIs are time …

Clinical notes as prognostic markers of mortality associated with diabetes mellitus following critical care: a retrospective cohort analysis using machine learning and …

K De Silva, N Mathews, H Teede, A Forbes… - Computers in Biology …, 2021 - Elsevier
Background Clinical notes are ubiquitous resources offering potential value in optimizing
critical care via data mining technologies. Objective To determine the predictive value of …

[Retracted] Application of Artificial Intelligence in Discovery and Development of Anticancer and Antidiabetic Therapeutic Agents

A Alqahtani - Evidence‐Based Complementary and Alternative …, 2022 - Wiley Online Library
Spectacular developments in molecular and cellular biology have led to important
discoveries in cancer research. Despite cancer is one of the major causes of morbidity and …

Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction

B Yu, S Li, W Qiu, M Wang, J Du, Y Zhang, X Chen - BMC genomics, 2018 - Springer
Background Apoptosis is associated with some human diseases, including cancer,
autoimmune disease, neurodegenerative disease and ischemic damage, etc. Apoptosis …

Machine learning techniques for screening and diagnosis of diabetes: a survey

Y Sun, D Zhang - Tehnički vjesnik, 2019 - hrcak.srce.hr
Sažetak Diabetes has become one of the major causes of national disease and death in
most countries. By 2015, diabetes had affected more than 415 million people worldwide …

Overview of methods for characterization and visualization of a protein–protein interaction network in a multi-omics integration context

V Robin, A Bodein, MP Scott-Boyer… - Frontiers in Molecular …, 2022 - frontiersin.org
At the heart of the cellular machinery through the regulation of cellular functions, protein–
protein interactions (PPIs) have a significant role. PPIs can be analyzed with network …

Current trends of host–pathogen relationship in shrimp infectious disease via computational protein–protein interaction: A bibliometric analysis

NF Rosilan, K Waiho, H Fazhan, YY Sung… - Fish & Shellfish …, 2023 - Elsevier
Protein–protein interactions (PPIs) are essential for understanding cell physiology in normal
and pathological conditions, as they might involve in all cellular processes. PPIs have been …

[HTML][HTML] Искусственный интеллект в диабетологии

ВВ Климонтов, ВБ Бериков, ОВ Сайк - Сахарный диабет, 2021 - cyberleninka.ru
В обзоре представлены возможности применения искусственного интеллекта для
изучения механизмов развития сахарного диабета (СД) и создания новых технологий …