Multi-omics integration in biomedical research–A metabolomics-centric review

MA Wörheide, J Krumsiek, G Kastenmüller… - Analytica chimica …, 2021 - Elsevier
Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …

Mathematical modeling of cancer immunotherapy for personalized clinical translation

JD Butner, P Dogra, C Chung, R Pasqualini… - Nature computational …, 2022 - nature.com
Encouraging advances are being made in cancer immunotherapy modeling, especially in
the key areas of develo** personalized treatment strategies based on individual patient …

Machine learning‐based model predictive controller design for cell culture processes

M Rashedi, M Rafiei, M Demers… - Biotechnology and …, 2023 - Wiley Online Library
The biopharmaceutical industry continuously seeks to optimize the critical quality attributes
to maintain the reliability and cost‐effectiveness of its products. Such optimization demands …

Physiologically based metformin pharmacokinetics model of mice and scale-up to humans for the estimation of concentrations in various tissues

DM Zake, J Kurlovics, L Zaharenko, V Komasilovs… - PLoS …, 2021 - journals.plos.org
Metformin is the primary drug for type 2 diabetes treatment and a promising candidate for
other disease treatment. It has significant deviations between individuals in therapy …

Driving success in personalized medicine through AI-enabled computational modeling

K Chakravarty, V Antontsev, Y Bundey, J Varshney - Drug Discovery Today, 2021 - Elsevier
Highlights•Personalized medicine is hindered by poor translatability from preclinical
research.•Artificial intelligence (AI) may improve personalized drug development.• …

[HTML][HTML] Use of drug sensitisers to improve therapeutic index in cancer

YS Chen, E **, PJ Day - Pharmaceutics, 2024 - mdpi.com
The clinical management of malignant tumours is challenging, often leading to severe
adverse effects and death. Drug resistance (DR) antagonises the effectiveness of …

A Vision of Future Healthcare: Potential Opportunities and Risks of Systems Medicine from a Citizen and Patient Perspective—Results of a Qualitative Study

C Lemmen, D Simic, S Stock - International Journal of Environmental …, 2021 - mdpi.com
Advances in (bio) medicine and technological innovations make it possible to combine high-
dimensional, heterogeneous health data to better understand causes of diseases and make …

Model comparison via simplicial complexes and persistent homology

ST Vittadello, MPH Stumpf - Royal Society Open Science, 2021 - royalsocietypublishing.org
In many scientific and technological contexts, we have only a poor understanding of the
structure and details of appropriate mathematical models. We often, therefore, need to …

Recent progress in artificial intelligence and machine learning for novel diabetes mellitus medications development

Q Guo, B Fu, Y Tian, S Xu, X Meng - Current Medical Research …, 2024 - Taylor & Francis
Diabetes mellitus, stemming from either insulin resistance or inadequate insulin secretion,
represents a complex ailment that results in prolonged hyperglycemia and severe …

IMFLer: a web application for interactive metabolic flux analysis and visualization

R Petrovs, E Stalidzans, A Pentjuss - Journal of Computational …, 2021 - liebertpub.com
Increasing genome-wide data in biological sciences and medicine has contributed to the
development of a variety of visualization tools. Several automatic, semiautomatic, and …