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Related papers: The Aging Metabolite Database with Summary Statist…

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Biobanks advance biomedical and clinical research by collecting and offering data and biological samples for numerous studies. However, the impact of these repositories varies greatly due to differences in their purpose, scope, governance,…

Quantitative Methods · Quantitative Biology 2024-07-02 Rodrigo Dorantes-Gilardi , Kerry Ivey , Lauren Costa , Rachael Matty , Kelly Cho , John Michael Gaziano , Albert-László Barabási

In order to develop infocommunications devices so that the capabilities of the human brain may interact with the capabilities of any artificially cognitive system a deeper knowledge of aging is necessary. Especially if society does not want…

Human-Computer Interaction · Computer Science 2022-03-09 Marcos Faundez-Zanuy , Enric Sesa-Nogueras , Josep Roure-Alcobé , Anna Esposito , Jiri Mekyska , Karmele López-de-Ipiña

With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profiling is an increasingly opportunistic frontier for advancing translational clinical research. Automated Machine Learning (AutoML) approaches…

Diabetes is a chronic metabolic disease characterized by elevated blood glucose levels, leading to complications like heart disease, kidney failure, and nerve damage. Accurate state-level predictions are vital for effective healthcare…

Machine Learning · Computer Science 2025-06-18 Vuong M. Ngo , Tran Quang Vinh , Patricia Kearney , Mark Roantree

Type 1 diabetes (T1D) is an autoimmune disorder that leads to the destruction of insulin-producing cells, resulting in insulin deficiency, as to why the affected individuals depend on external insulin injections. However, insulin can…

Machine Learning · Computer Science 2026-04-27 Beyza Cinar , Maria Maleshkova

Advances in healthcare and in the quality of life significantly increase human life expectancy. With the ageing of populations, new un-faced challenges are brought to science. The human body is naturally selected to be well-functioning…

Artificial Intelligence · Computer Science 2016-07-21 Grazziela P. Figueredo , Peer-Olaf Siebers , Uwe Aickelin , Amanda Whitbrook , Jonathan M. Garibaldi

The importance of databases of reliable and accurate data in chemistry has substantially increased in the past two decades. Their main usage is to parametrize electronic structure theory methods, and to assess their capabilities and…

Chemical Physics · Physics 2023-11-10 Pierpaolo Morgante , Roberto Peverati

Motivation: There is a growing need to integrate mechanistic models of biological processes with computational methods in healthcare in order to improve prediction. We apply data assimilation in the context of Type 2 diabetes to understand…

Living systems are subject to the arrow of time; from birth, they undergo complex transformations (self-organization) in a constant battle for survival, but inevitably ageing and disease trap them to death. Can ageing be understood and…

Other Quantitative Biology · Quantitative Biology 2020-08-21 Tamàs Fülöp , Mathieu Desroches , Fernando Antônio Nóbrega Santos , Serafim Rodrigues

Human aging is a process controlled by both genetics and environment. Many studies have been conducted to identify a subset of genes related to aging from the human genome. Biologists implicitly categorize age-related genes into genes that…

Genomics · Quantitative Biology 2023-11-17 Salman Mohamadi , Donald A. Adjeroh

The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide-available collections of diabetic patient records, also known as the AMD database. This paper presents the initial results of an ongoing project…

Artificial intelligence (AI) algorithms are a critical part of state-of-the-art digital health technology for diabetes management. Yet, access to large high-quality datasets is creating barriers that impede development of robust AI…

Artificial Intelligence · Computer Science 2025-07-21 Temiloluwa Prioleau , Baiying Lu , Yanjun Cui

Designing proper treatment plans to manage diabetes requires health practitioners to pay heed to the individuals remaining life along with the comorbidities affecting them. Older adults with Type 2 Diabetes Mellitus (T2DM) are prone to…

Machine Learning · Computer Science 2024-02-20 Ruchika Desure , Gutha Jaya Krishna

Background: Nowadays, the reconstruction of genome scale metabolic models is a non-automatized and interactive process based on decision taking. This lengthy process usually requires a full year of one person's work in order to satisfactory…

Molecular Networks · Quantitative Biology 2026-02-06 R. Reyes , D. Gamermann , A. Montagud , D. Fuente , J. Triana , J. F. Urchuegía , P. Fernández de Córdoba

Reaching a global view of brain organization requires assembling evidence on widely different mental processes and mechanisms. The variety of human neuroscience concepts and terminology poses a fundamental challenge to relating brain…

Quantitative Methods · Quantitative Biology 2020-02-24 Jérôme Dockès , Russell Poldrack , Romain Primet , Hande Gözükan , Tal Yarkoni , Fabian Suchanek , Bertrand Thirion , Gaël Varoquaux

Untargeted metabolomic studies are revealing large numbers of naturally occurring metabolites that cannot be characterized because their chemical structures and MS/MS spectra are not available in databases. Here we present iMet, a…

Quantitative Methods · Quantitative Biology 2017-03-17 Antoni Aguilar-Mogas , Marta Sales-Pardo , Miriam Navarro , Ralf Tautenhahn , Roger Guimerà , Oscar Yanes

Metabolic pathways are fundamental maps in biochemistry that detail how molecules are transformed through various reactions. The complexity of metabolic network, where a single compound can play a part in multiple pathways, poses a…

Quantitative Methods · Quantitative Biology 2024-09-18 Li Tuobang

Untargeted metabolomics generates large volumes of tandem mass spectrometry (MS/MS) data and computational annotations that can reveal molecular mechanisms across organisms and environments. Public reuse has improved through harmonized…

Databases · Computer Science 2026-05-26 Matthieu Féraud , Dina Boukhajou , Fabien Gandon , Louis-Félix Nothias

According to the American Diabetes Association(ADA), 30.3 million people in the United States have diabetes, but only 7.2 million may be undiagnosed and unaware of their condition. Type 2 diabetes is usually diagnosed for most patients…

Machine Learning · Computer Science 2019-10-22 Ramya Akula , Ni Nguyen , Ivan Garibay

Over the past decade there has been a significant growth in bioinformatics databases, tools and resources. Although, bioinformatics is becoming more specific, increasing the number of bioinformatics-wares has made it difficult for…