machine learning

https://ieeexplore.ieee.org/abstract/document/11545830 M. -I. Khan and F. Ahmed, "From Symptoms to Systems: Interpretable AI for Myalgic Encephalomyelitis and Depression Diagnosis," 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)...

Abstract Although the COVID-19 pandemic has now been down-graded, long COVID (LC) presents an ongoing risk of long-term disease for a significant percentage of the population, even after mild or no symptoms upon infection. LC post-viral effects have been associated with oxidative stress (OS)...

Multi-System Genetic Architecture of Hypermobile Ehlers–Danlos Syndrome: Integrating Machine Learning with Subject-Level Genomic Analysis BACKGROUND/OBJECTIVES Hypermobile Ehlers–Danlos syndrome (hEDS) remains genetically unexplained despite decades of clinical investigation, with the...

Pipeline-optimized machine learning for chronic fatigue syndrome diagnosis: A lightweight, interpretable model using blood biochemical and metabolomic data [Line breaks added] Introduction and Background Chronic fatigue syndrome (CFS) is a debilitating multisystem disorder with persistent...

Distinguishing post-COVID from long-COVID in adults: Development and validation of a biomarker signature using targeted proteomics and machine learning in a cross-sectional observational study Background COVID-19 can have diverse clinical manifestations, ranging from asymptomatic infection to...

An Interpretable Machine Learning Model for Predicting the Effectiveness of Low-Dose Methylprednisolone in Treating Long COVID: A Retrospective Study [Line breaks added] Abstract Long COVID is a chronic, multisystem disease with limited response to conventional treatments. While low-dose...

Registration link General abstract: ME/CFS and Long Covid (LC) are chronic and debilitating illnesses whose symptoms often persist years after disease onset. LC occurs after SARS-CoV-2 viral infection and ME/CFS often occurs after other infections. ME/CFS is defined by post-exertional...

Evaluation of Stereopsis Performance, Gaze Direction and Pupil Diameter in Post-COVID Syndrome Using Machine Learning BACKGROUND/OBJECTIVES Post-COVID syndrome (PCS) encompasses symptoms that persist for at least 12 weeks after the onset of a COVID-19 infection and cannot be explained by other...

Longitudinal wearable sensor data enhance precision of Long COVID detection Despite the millions of individuals struggling with persistent symptoms, Long COVID has remained difficult to diagnose due to limited objective biomarkers, often leading to underdiagnosis or even misdiagnosis. To...

Leveraging Explainable Automated Machine Learning AutoML and Metabolomics for Robust Diagnosis and Pathophysiological Insights in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome ME/CFS BACKGROUND/OBJECTIVES Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating...

See here for the abstract and links to the 2025 ME/CFS paper: link See here for a link to a 2024 paper on covid-19 outcomes: link (Development and evaluation of blood-based prognostic biomarkers for COVID disease outcomes using EpiSwitch 3-dimensional genomic regulatory immune-genetic...

Full title: Advancing Digital Precision Medicine for Chronic Fatigue Syndrome through Longitudinal Large-Scale Multi-Modal Biological Omics Modeling with Machine Learning and Artificial Intelligence We studied a generalized question: chronic diseases like ME/CFS and long COVID exhibit high...

https://www.biorxiv.org/content/10.1101/2025.05.25.656018v1 Abstract Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Long COVID are chronic debilitating post-infectious illnesses that collectively affect up to 470 million individuals. Unlike illnesses of comparable scale, there...

Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care Seika Lee, Marta A. Kisiel, Pia Lindberg, Åsa M. Wheelock, Anna Olofsson, Julia Eriksson, Judith Bruchfeld, Michael Runold, Lars Wahlström, Andrei...

Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis Sai Zhang; Fereshteh Jahanbani; Varuna Chander; Martin Kjellberg; Menghui Liu; Katherine Glass; David Iu; Faraz Ahmed; Han Li; Rajan Douglas Maynard; Tristan Chou...

Abstract: Background Shared symptoms and biological abnormalities between post-acute sequelae of SARS-CoV-2 infection (PASC) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) could suggest common pathophysiological bases and would support coordinated treatment efforts. Empirical...

Now published - see here ************* Kang Wu, Yihuai Zou, Yuanyuan Li, Xiaojie Hu, Yahui Wang, TZ CHEN, Yuhang Chen, Kuangshi Li Abstract Chronic Fatigue Syndrome (CFS) is a disease characterized by unexplained fatigue and impaired cognition for more than six months. Recent studies have...

Now published - see here Preprint Identification of a multi-omics factor predictive of long COVID in the IMPACC study Gisela Gabernet; Jessica Maciuch; Jeremy P Gygi; John F Moore; Annmarie Hoch; Caitlin Syphurs; Tianyi Chu; Naresh Doni Jayavelu; David B Corry; Farrah Kheradmand; Lindsey R...

Abstract Sleep deprivation enhances risk for serious injury and fatality on the roads and in workplaces. To facilitate future management of these risks through advanced detection, we developed and validated a metabolomic biomarker of sleep deprivation in healthy, young participants, across three...

https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-024-05915-z Machine learning and multi-omics in precision medicine for ME/CFS Katherine Huang, Brett A. Lidbury, Natalie Thomas, Paul R. Gooley & Christopher W. Armstrong Journal of Translational Medicine volume 23...