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] Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges

J Peng, EC Jury, P Dönnes, C Ciurtin - Frontiers in pharmacology, 2021 - frontiersin.org
In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …

[HTML][HTML] Artificial intelligence assists precision medicine in cancer treatment

J Liao, X Li, Y Gan, S Han, P Rong, W Wang… - Frontiers in …, 2023 - frontiersin.org
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

Precision nomothetic medicine in depression research: a new depression model, and new endophenotype classes and pathway phenotypes, and a digital self

M Maes - Journal of personalized medicine, 2022 - mdpi.com
Machine learning approaches, such as soft independent modeling of class analogy (SIMCA)
and pathway analysis, were introduced in depression research in the 1990s (Maes et al.) to …

Use of machine learning consensus clustering to identify distinct subtypes of black kidney transplant recipients and associated outcomes

C Thongprayoon, P Vaitla, CC Jadlowiec… - JAMA …, 2022 - jamanetwork.com
Importance Among kidney transplant recipients, Black patients continue to have worse graft
function and reduced patient and graft survival. Better understanding of different phenotypes …

Artificial intelligence in biological sciences

A Bhardwaj, S Kishore, DK Pandey - Life, 2022 - mdpi.com
Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve the
quality of life of human beings. The fields of AI and biological research are becoming more …

Artificial intelligence and pathology: from principles to practice and future applications in histomorphology and molecular profiling

A Stenzinger, M Alber, M Allgäuer, P Jurmeister… - Seminars in cancer …, 2022 - Elsevier
The complexity of diagnostic (surgical) pathology has increased substantially over the last
decades with respect to histomorphological and molecular profiling. Pathology has steadily …

How can machine learning and multiscale modeling benefit ocular drug development?

N Wang, Y Zhang, W Wang, Z Ye, H Chen, G Hu… - Advanced Drug Delivery …, 2023 - Elsevier
The eyes possess sophisticated physiological structures, diverse disease targets, limited
drug delivery space, distinctive barriers, and complicated biomechanical processes …

A microbial-based approach to mental health: the potential of probiotics in the treatment of depression

D Johnson, V Letchumanan, CC Thum… - Nutrients, 2023 - mdpi.com
Probiotics are currently the subject of intensive research pursuits and also represent a multi-
billion-dollar global industry given their vast potential to improve human health. In addition …

Optimized 3D bioprinting technology based on machine learning: A review of recent trends and advances

J Shin, Y Lee, Z Li, J Hu, SS Park, K Kim - Micromachines, 2022 - mdpi.com
The need for organ transplants has risen, but the number of available organ donations for
transplants has stagnated worldwide. Regenerative medicine has been developed to make …