Machine learning application in a phase I clinical trial allows for the identification of clinical‐biomolecular markers significantly associated with toxicity

L Bedon, E Cecchin, E Fabbiani… - Clinical …, 2022 - Wiley Online Library
Machine learning (ML) algorithms have been used to forecast clinical outcomes or drug
adverse effects by analyzing different data sets such as electronic health records, diagnostic …

A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology

D Acharya, A Mukhopadhyay - Briefings in Functional Genomics, 2024 - academic.oup.com
Multi-omics data play a crucial role in precision medicine, mainly to understand the diverse
biological interaction between different omics. Machine learning approaches have been …

The pneumonia severity index: Assessment and comparison to popular machine learning classifiers

D Wang, DR Willis, Y Yih - International Journal of Medical Informatics, 2022 - Elsevier
Introduction Pneumonia is the top communicable cause of death worldwide. Accurate
prognostication of patient severity with Community Acquired Pneumonia (CAP) allows better …

[HTML][HTML] Predicting and quantifying antagonistic effects of natural compounds given with chemotherapeutic agents: Applications for high-throughput screening

GL Hackman, M Collins, X Lu, A Lodi, J DiGiovanni… - Cancers, 2020 - mdpi.com
Simple Summary Increasing numbers of cancer patients are turning to complementary and
alternative medicines (CAM) to facilitate or replace their cancer treatments, or they are …

Multi-head attention mechanism learning for cancer new subtypes and treatment based on cancer multi-omics data

L Pan, D Liu, Y Dou, L Wang, Z Feng, P Rong… - arXiv preprint arXiv …, 2023 - arxiv.org
Due to the high heterogeneity and clinical characteristics of cancer, there are significant
differences in multi-omics data and clinical features among subtypes of different cancers …

[HTML][HTML] Can systems biology advance clinical precision oncology?

A Rocca, BN Kholodenko - Cancers, 2021 - mdpi.com
Simple Summary Omics technologies and targeted drugs are revolutionizing the clinical
oncology landscape, portending the promise of precision oncology. However, our abilities to …

DELFOS—drug efficacy leveraging forked and specialized networks—benchmarking scRNA-seq data in multi-omics-based prediction of cancer sensitivity

LF Piochi, AJ Preto, IS Moreira - Bioinformatics, 2023 - academic.oup.com
Motivation Cancer is currently one of the most notorious diseases, with over 1 million deaths
in the European Union alone in 2022. As each tumor can be composed of diverse cell types …

A cross-level information transmission network for hierarchical omics data integration and phenotype prediction from a new genotype

D He, L Xie - Bioinformatics, 2022 - academic.oup.com
Motivation An unsolved fundamental problem in biology is to predict phenotypes from a new
genotype under environmental perturbations. The emergence of multiple omics data …

High-throughput screening for drug discovery targeting the cancer cell-microenvironment interactions in hematological cancers

AK Giri, A Ianevski - Expert opinion on drug discovery, 2022 - Taylor & Francis
Introduction The interactions between leukemic blasts and cells within the bone marrow
environment affect oncogenesis, cancer stem cell survival, as well as drug resistance in …

[HTML][HTML] Pan-cancer and single-cell analysis reveal the prognostic value and immune response of NQO1

L Shen, S Jiang, Y Yang, H Yang, Y Fang… - Frontiers in Cell and …, 2023 - frontiersin.org
Background: Overexpression of the NAD (P) H: Quinone Oxidoreductase 1 (NQOI) gene has
been linked with tumor progression, aggressiveness, drug resistance, and poor patient …