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 …

[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 …

Process mining for healthcare: Characteristics and challenges

J Munoz-Gama, N Martin, C Fernandez-Llatas… - Journal of Biomedical …, 2022 - Elsevier
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 …

[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 …

Heterogeneity of mesenchymal stem cells in cartilage regeneration: from characterization to application

K Zha, X Li, Z Yang, G Tian, Z Sun, X Sui… - NPJ Regenerative …, 2021 - nature.com
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 …

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 …

Machine learning models for the identification of prognostic and predictive cancer biomarkers: a systematic review

Q Al-Tashi, MB Saad, A Muneer, R Qureshi… - International journal of …, 2023 - mdpi.com
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 …

[HTML][HTML] Artificial intelligence in pharmaceutical sciences

M Lu, J Yin, Q Zhu, G Lin, M Mou, F Liu, Z Pan, N You… - Engineering, 2023 - Elsevier
Drug discovery and development affects various aspects of human health and dramatically
impacts the pharmaceutical market. However, investments in a new drug often go …

Artificial intelligence, healthcare, clinical genomics, and pharmacogenomics approaches in precision medicine

H Abdelhalim, A Berber, M Lodi, R Jain, A Nair… - Frontiers in …, 2022 - frontiersin.org
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 …

Precision medicine in airway diseases: moving to clinical practice

A Agustí, M Bafadhel, R Beasley, EH Bel… - European …, 2017 - Eur Respiratory Soc
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 …