Multi-omics fusion with machine learning enables robust prediction of treatment response in ovarian cancer for precision population health

Advancing genomics and integration of multi-omics for precision oncology using quantum machine learning

Ji-Yong Sung, Jae-Ho Cheong

Abstract Cancer multi-omics faces challenges in handling the scale, complexity, and heterogeneity of multi-omics data, limiting progress in variant interpretation, tumor classification, and modeling cancer evolution. Quantum computing offers a new paradigm using superposition, en…Read more

Simulation of covariate and concept drift in machine learning hospital admission prediction from emergency triage

Ethan Williams, Toshi Sinha, Matthew Summerscales, Yogesan Kanagasingam

Abstract Machine learning models that predict hospital admission at triage may support patient flow forecasting, yet the effects of covariate drift, concept drift, and retraining on long-term performance are poorly understood. We developed an Extreme Gradient Boosting (XGBoost) m…Read more

Applications of traditional machine learning and deep learning algorithms in obesity prediction or classification: a systematic review of comparative performance

Mehrdad Jamali, Meysam Zarezadeh, Mohammad Vesal Bideshki, Mohamed Khalifa, Michelle Cavaleri, Ahmad Saedisomeolia, et al.

Explainable machine learning for 10-year prediction of cognitive impairment in a rural Chinese population

Botang Guo, Shiqi Li, Minyao Li, Yuanshuo Ma, Ying Fu, Yihao Shu, et al.

Injury prediction in elite women’s football: an integrative machine learning-based decision-support framework

Manuel Huth, Berta Canal-Simón, Eva Ferrer, Gil Rodas, Xavier Yanguas, Jan Hasenauer, et al.

Fairness in multimodal machine learning applications in clinical decision support: a systematic review

Amit Saha, Lexuan Shao, Jinman Kim, Adam G. Dunn