The emerging role of Raman spectroscopy as an omics approach for metabolic profiling and biomarker detection toward precision medicine
G Cutshaw, S Uthaman, N Hassan… - Chemical …, 2023 - ACS Publications
Omics technologies have rapidly evolved with the unprecedented potential to shape
precision medicine. Novel omics approaches are imperative toallow rapid and accurate data …
precision medicine. Novel omics approaches are imperative toallow rapid and accurate data …
[HTML][HTML] Digital twins for multiple sclerosis
I Voigt, H Inojosa, A Dillenseger, R Haase… - Frontiers in …, 2021 - frontiersin.org
An individualized innovative disease management is of great importance for people with
multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional …
multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional …
Process mining for healthcare: Characteristics and challenges
Process mining techniques can be used to analyse business processes using the data
logged during their execution. These techniques are leveraged in a wide range of domains …
logged during their execution. These techniques are leveraged in a wide range of domains …
[HTML][HTML] Four-dimensional bioprinting: Current developments and applications in bone tissue engineering
Z Wan, P Zhang, Y Liu, L Lv, Y Zhou - Acta biomaterialia, 2020 - Elsevier
Abstract Four-dimensional (4D) bioprinting, in which the concept of time is integrated with
three-dimensional (3D) bioprinting as the fourth dimension, has currently emerged as the …
three-dimensional (3D) bioprinting as the fourth dimension, has currently emerged as the …
Heterogeneity of mesenchymal stem cells in cartilage regeneration: from characterization to application
Articular cartilage is susceptible to damage but hard to self-repair due to its avascular
nature. Traditional treatment methods are not able to produce satisfactory effects …
nature. Traditional treatment methods are not able to produce satisfactory effects …
A review on longitudinal data analysis with random forest
J Hu, S Szymczak - Briefings in Bioinformatics, 2023 - academic.oup.com
In longitudinal studies variables are measured repeatedly over time, leading to clustered
and correlated observations. If the goal of the study is to develop prediction models …
and correlated observations. If the goal of the study is to develop prediction models …
Machine learning models for the identification of prognostic and predictive cancer biomarkers: a systematic review
The identification of biomarkers plays a crucial role in personalized medicine, both in the
clinical and research settings. However, the contrast between predictive and prognostic …
clinical and research settings. However, the contrast between predictive and prognostic …
[HTML][HTML] Artificial intelligence in pharmaceutical sciences
Drug discovery and development affects various aspects of human health and dramatically
impacts the pharmaceutical market. However, investments in a new drug often go …
impacts the pharmaceutical market. However, investments in a new drug often go …
Artificial intelligence, healthcare, clinical genomics, and pharmacogenomics approaches in precision medicine
Precision medicine has greatly aided in improving health outcomes using earlier diagnosis
and better prognosis for chronic diseases. It makes use of clinical data associated with the …
and better prognosis for chronic diseases. It makes use of clinical data associated with the …
Precision medicine in airway diseases: moving to clinical practice
On February 21, 2017, a European Respiratory Society research seminar held in Barcelona
discussed how to best apply precision medicine to chronic airway diseases such as asthma …
discussed how to best apply precision medicine to chronic airway diseases such as asthma …