The why, how, and when of representations for complex systems

L Torres, AS Blevins, D Bassett, T Eliassi-Rad - SIAM Review, 2021 - SIAM
… We use this language to evaluate each step of the complex systems analysis pipeline, …
units and relations in a complex system, as these are common to all complex systems. Additional …

Improved models of care for cancer survivors

M Jefford, D Howell, Q Li, K Lisy, J Maher, CM Alfano… - The Lancet, 2022 - thelancet.com
… The focus of this paper is on high-income countries, as most published data is derived
from these settings, but we provide brief consideration of survivorship care in low-income and …

[HTML][HTML] Evaluation of public health interventions from a complex systems perspective: a research methods review

E McGill, V Er, T Penney, M Egan, M White… - Social science & …, 2021 - Elsevier
… Applying a complex systems perspective to public health evaluation may increase the …
In this review of methods, we aimed to: (i) classify and describe different complex systems

[HTML][HTML] Artificial intelligence (AI) and big data in cancer and precision oncology

Z Dlamini, FZ Francies, R Hull, R Marima - Computational and structural …, 2020 - Elsevier
… clinical benefits particularly for difficult to treat cancers in children and young adults. The
study showed that approximately 70% of gene expression data derived from RNA sequencing …

Evasion of tipping in complex systems through spatial pattern formation

M Rietkerk, R Bastiaansen, S Banerjee… - Science, 2021 - science.org
… We illustrate the response of complex systems to changes in external conditions (ie, a
bifurcation diagram). Homogeneous dark gray squares depict high density of the system state …

Deep learning in cancer diagnosis, prognosis and treatment selection

KA Tran, O Kondrashova, A Bradley, ED Williams… - Genome Medicine, 2021 - Springer
… of highly characterised cancer datasets has … the complex biology of cancer. While early
results are promising, this is a rapidly evolving field with new knowledge emerging in both cancer

Gut microbiome, big data and machine learning to promote precision medicine for cancer

G Cammarota, G Ianiro, A Ahern, C Carbone… - Nature reviews …, 2020 - nature.com
cancercomplex health-care information in the era of big data. We also discuss the potential
application of microbiome-based big data aimed at promoting precision medicine in cancer. …

Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future

MJ Iqbal, Z Javed, H Sadia, IA Qureshi, A Irshad… - Cancer cell …, 2021 - Springer
… 16,000 reads (data files in different clinical formats) of different tumor types. This study paved
the way towards digital diagnosis by using a digitized WSI system. Various developmental …

Multimodal deep learning for biomedical data fusion: a review

SR Stahlschmidt, B Ulfenborg… - Briefings in …, 2022 - academic.oup.com
… Individual cells and complete organisms are prototypical complex systems, as they are … of
a cancer patient. Genomic data from a tumor enable the identification of cancer driver genes …

The blood–tumour barrier in cancer biology and therapy

PS Steeg - Nature Reviews Clinical Oncology, 2021 - nature.com
… to BTB structure and function as well as data that might inform translational and clinical …
by data derived from in vivo models or human tumours. This Review is intended for cancer