[HTML][HTML] Independent component analysis for unraveling the complexity of cancer omics datasets

N Sompairac, PV Nazarov, U Czerwinska… - International Journal of …, 2019 - mdpi.com
Independent component analysis (ICA) is a matrix factorization approach where the signals
captured by each individual matrix factors are optimized to become as mutually independent …

[HTML][HTML] Application of artificial intelligence to the diagnosis and therapy of colorectal cancer

Y Wang, X He, H Nie, J Zhou, P Cao… - American journal of …, 2020 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is a relatively new branch of computer science involving many
disciplines and technologies, including robotics, speech recognition, natural language and …

Digital transformation in personalized medicine with artificial intelligence and the internet of medical things

B Lin, S Wu - Omics: a journal of integrative biology, 2022 - liebertpub.com
Digital transformation is impacting every facet of science and society, not least because
there is a growing need for digital services and products with the COVID-19 pandemic. But …

[HTML][HTML] Early recognition of burn-and trauma-related acute kidney injury: a pilot comparison of machine learning techniques

HH Rashidi, S Sen, TL Palmieri, T Blackmon, J Wajda… - Scientific reports, 2020 - nature.com
Severely burned and non-burned trauma patients are at risk for acute kidney injury (AKI).
The study objective was to assess the theoretical performance of artificial intelligence …

[HTML][HTML] Large language models and multimodal foundation models for precision oncology

D Truhn, JN Eckardt, D Ferber, JN Kather - NPJ Precision Oncology, 2024 - nature.com
The technological progress in artificial intelligence (AI) has massively accelerated since
2022, with far-reaching implications for oncology and cancer research. Large language …

Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: a proof of concept

NK Tran, S Sen, TL Palmieri, K Lima, S Falwell… - Burns, 2019 - Elsevier
Background Burn critical care represents a high impact population that may benefit from
artificial intelligence and machine learning (ML). Acute kidney injury (AKI) recognition in …

Concrete problems in AI safety, revisited

ID Raji, R Dobbe - arXiv preprint arXiv:2401.10899, 2023 - arxiv.org
As AI systems proliferate in society, the AI community is increasingly preoccupied with the
concept of AI Safety, namely the prevention of failures due to accidents that arise from an …

[HTML][HTML] Forum on immune digital twins: a meeting report

R Laubenbacher, F Adler, G An, F Castiglione… - npj Systems Biology …, 2024 - nature.com
Medical digital twins are computational models of human biology relevant to a given medical
condition, which are tailored to an individual patient, thereby predicting the course of …

Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine

B Lai, J Fu, Q Zhang, N Deng… - … Journal of Oncology, 2023 - spandidos-publications.com
Clinical efforts on precision medicine are driving the need for accurate diagnostic, new
prognostic and novel drug predictive assays to inform patient selection and stratification for …

[PDF][PDF] Megatrends in healthcare: review for the swiss national science foundation's national research programme 74 (NRP74)“smarter health care”

MJ Deml, KT Jungo, M Maessen, A Martani… - Public health …, 2022 - ssph-journal.org
Objectives: In this paper, we present a review of some relevant megatrends in healthcare
conducted as part of the Swiss National Science Foundation's National Research …