Innovations in genomics and big data analytics for personalized medicine and health care: A review

M Hassan, FM Awan, A Naz… - International journal of …, 2022 - mdpi.com
Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …

Computational models for clinical applications in personalized medicine—guidelines and recommendations for data integration and model validation

CB Collin, T Gebhardt, M Golebiewski… - Journal of personalized …, 2022 - mdpi.com
The future development of personalized medicine depends on a vast exchange of data from
different sources, as well as harmonized integrative analysis of large-scale clinical health …

Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility

FT Musuamba, I Skottheim Rusten… - CPT …, 2021 - Wiley Online Library
The value of in silico methods in drug development and evaluation has been demonstrated
repeatedly and convincingly. While their benefits are now unanimously recognized …

Personalized medicine for patients with COPD: where are we?

FME Franssen, P Alter, N Bar… - … journal of chronic …, 2019 - Taylor & Francis
Chronic airflow limitation is the common denominator of patients with chronic obstructive
pulmonary disease (COPD). However, it is not possible to predict morbidity and mortality of …

Deep learning in systems medicine

H Wang, E Pujos-Guillot, B Comte… - Briefings in …, 2021 - academic.oup.com
Abstract Systems medicine (SM) has emerged as a powerful tool for studying the human
body at the systems level with the aim of improving our understanding, prevention and …

Leveraging transcriptomics for precision diagnosis: Lessons learned from cancer and sepsis

M Tsakiroglou, A Evans, M Pirmohamed - Frontiers in Genetics, 2023 - frontiersin.org
Diagnostics require precision and predictive ability to be clinically useful. Integration of multi-
omic with clinical data is crucial to our understanding of disease pathogenesis and …

Multi-omics profiling of the tumor microenvironment: paving the way to precision immuno-oncology

F Finotello, F Eduati - Frontiers in Oncology, 2018 - frontiersin.org
The tumor microenvironment (TME) is a multifaceted ecosystem characterized by profound
cellular heterogeneity, dynamicity, and complex intercellular cross-talk. The striking …

Oxidative stress in type 2 diabetes: The case for future pediatric redoxomics studies

SN Alu, EA Los, GA Ford, WL Stone - Antioxidants, 2022 - mdpi.com
Considerable evidence supports the role of oxidative stress in adult type 2 diabetes (T2D).
Due to increasing rates of pediatric obesity, lack of physical activity, and consumption of …

Are all models wrong?

H Enderling, O Wolkenhauer - Computational and systems …, 2021 - pmc.ncbi.nlm.nih.gov
Mathematical modeling in cancer is enjoying a rapid expansion (Brady & Enderling, 2019).
For collegial discussion across disciplines, many-if not all of us-have used the aphorism that …

Intercellular pathways of cancer treatment-related cardiotoxicity and their therapeutic implications: the paradigm of radiotherapy

S Logotheti, A Pavlopoulou, HK Rudsari… - Pharmacology & …, 2024 - Elsevier
Advances in cancer therapeutics have improved patient survival rates. However, cancer
survivors may suffer from adverse events either at the time of therapy or later in life …