Emerging issues in probiotic safety: 2023 perspectives

D Merenstein, B Pot, G Leyer, AC Ouwehand… - Gut …, 2023 - Taylor & Francis
Probiotics are used for both generally healthy consumers and in clinical settings. However,
theoretical and proven adverse events from probiotic consumption exist. New probiotic …

[HTML][HTML] From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare

C Chakraborty, M Bhattacharya, S Pal… - Current Research in …, 2024 - Elsevier
The medicine and healthcare sector has been evolving and advancing very fast. The
advancement has been initiated and shaped by the applications of data-driven, robust, and …

Interpretable machine learning for discovery: Statistical challenges and opportunities

GI Allen, L Gan, L Zheng - Annual Review of Statistics and Its …, 2023 - annualreviews.org
New technologies have led to vast troves of large and complex data sets across many
scientific domains and industries. People routinely use machine learning techniques not …

The impact of big data on healthcare product development: A theoretical and analytical review

DO Ogundipe - International Medical Science Research Journal, 2024 - fepbl.com
The intersection of big data and healthcare product development has catalyzed
transformative shifts in the industry, revolutionizing how medical solutions are …

Assessing and mitigating batch effects in large-scale omics studies

Y Yu, Y Mai, Y Zheng, L Shi - Genome Biology, 2024 - Springer
Batch effects in omics data are notoriously common technical variations unrelated to study
objectives, and may result in misleading outcomes if uncorrected, or hinder biomedical …

The metaverse as a virtual model of platform urbanism: its converging AIoT, XReality, neurotech, and nanobiotech and their applications, challenges, and risks

SE Bibri - Smart Cities, 2023 - mdpi.com
With their exponentially rising computational power, digital platforms are heralding a new
era of hybrid intelligence. There has recently been much enthusiasm and hype that the …

Emerging applications of machine learning in genomic medicine and healthcare

N Chafai, L Bonizzi, S Botti… - Critical Reviews in Clinical …, 2024 - Taylor & Francis
The integration of artificial intelligence technologies has propelled the progress of clinical
and genomic medicine in recent years. The significant increase in computing power has …

A comprehensive and systematic literature review on the big data management techniques in the internet of things

A Naghib, N Jafari Navimipour, M Hosseinzadeh… - Wireless …, 2023 - Springer
Abstract The Internet of Things (IoT) is a communication paradigm and a collection of
heterogeneous interconnected devices. It produces large-scale distributed, and diverse data …

Advancing personalized medicine: Integrating statistical algorithms with omics and nano-omics for enhanced diagnostic accuracy and treatment efficacy

A Coskun, G Ertaylan, M Pusparum, R Van Hoof… - … et Biophysica Acta (BBA …, 2024 - Elsevier
Medical laboratory services enable precise measurement of thousands of biomolecules and
have become an inseparable part of high-quality healthcare services, exerting a profound …

[HTML][HTML] Transforming clinical research: the power of high-throughput omics integration

R Vitorino - Proteomes, 2024 - mdpi.com
High-throughput omics technologies have dramatically changed biological research,
providing unprecedented insights into the complexity of living systems. This review presents …