Multi-omics integration in biomedical research–A metabolomics-centric review
Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …
layers of a biological system, including DNA sequence data (genomics), RNA expression …
Mathematical modeling of cancer immunotherapy for personalized clinical translation
Encouraging advances are being made in cancer immunotherapy modeling, especially in
the key areas of develo** personalized treatment strategies based on individual patient …
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 …
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 …
other disease treatment. It has significant deviations between individuals in therapy …
Driving success in personalized medicine through AI-enabled computational modeling
Highlights•Personalized medicine is hindered by poor translatability from preclinical
research.•Artificial intelligence (AI) may improve personalized drug development.• …
research.•Artificial intelligence (AI) may improve personalized drug development.• …
[HTML][HTML] Use of drug sensitisers to improve therapeutic index in cancer
The clinical management of malignant tumours is challenging, often leading to severe
adverse effects and death. Drug resistance (DR) antagonises the effectiveness of …
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 …
dimensional, heterogeneous health data to better understand causes of diseases and make …
Model comparison via simplicial complexes and persistent homology
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 …
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 …
represents a complex ailment that results in prolonged hyperglycemia and severe …
IMFLer: a web application for interactive metabolic flux analysis and visualization
Increasing genome-wide data in biological sciences and medicine has contributed to the
development of a variety of visualization tools. Several automatic, semiautomatic, and …
development of a variety of visualization tools. Several automatic, semiautomatic, and …