machine learning

  1. J

    Preprint Mobius: Mixture-Of-Experts Transformer Model in Epigenetics of ME/CFS and Long COVID, 2025, Acharya & Jacoby

    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...
    • John Mac
    • Thread
    • acharya jacoby machine learning methylation mobius
    • Replies: 16
    • Forum: ME/CFS research
  2. hotblack

    Using machine learning involving diagnoses and medications as a risk prediction tool for PASC in primary care, 2025, Lee et al

    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...
  3. SNT Gatchaman

    Preprint Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis, 2025, Zhang+

    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...
    • SNT Gatchaman
    • Thread
    • b cells cd4+ genetics hanson hla machine learning neuroligin proteasome t cells ubiquitin
    • Replies: 438
    • Forum: ME/CFS research
  4. Nightsong

    Identifying commonalities and differences between EHR representations of PASC and ME/CFS in the RECOVER EHR cohort, 2025, Powers et al

    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...
    • Nightsong
    • Thread
    • ehr jaime seltzer lc=me/cfs long covid machine learning mady hornig me/cfs national covid cohort collaborative pasc recover initiative recover-ehr
    • Replies: 10
    • Forum: Long Covid research
  5. Wyva

    Multiple Voxel Pattern Analysis Shows Associations Between Chronic Fatigue Syndrome and Cortical Atrophy, 2025, Wu et al

    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...
    • Wyva
    • Thread
    • china cortical atrophy cortical thickness machine learning mri multiple voxel pattern analysis (mvpa)
    • Replies: 7
    • Forum: ME/CFS research
  6. SNT Gatchaman

    Preprint Identification of a multi-omics factor predictive of long COVID in the IMPACC study, 2025, Gabernet et al.

    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 Baden; Rafick-Pierre Sekaly; Grace A...
    • SNT Gatchaman
    • Thread
    • biomarker endocrine haemoglobin immune cells inflammation machine learning risk factors sex hormones
    • Replies: 24
    • Forum: Long Covid research
  7. Sly Saint

    Accurate detection of acute sleep deprivation using a metabolomic biomarker—A machine learning approach 2024

    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...
  8. M

    Review Machine learning and multi-omics in precision medicine for ME/CFS, 2025, Huang....Armstrong

    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...
  9. SNT Gatchaman

    A generalist medical language model for disease diagnosis assistance, 2025, Liu et al.

    A generalist medical language model for disease diagnosis assistance Liu, Xiaohong; Liu, Hao; Yang, Guoxing; Jiang, Zeyu; Cui, Shuguang; Zhang, Zhaoze; Wang, Huan; Tao, Liyuan; Sun, Yongchang; Song, Zhu; Hong, Tianpei; Yang, Jin; Gao, Tianrun; Zhang, Jiangjiang; Li, Xiaohu; Zhang, Jing; Sang...
  10. SNT Gatchaman

    Preprint Gut Microbiome Signatures During Acute Infection Predict Long COVID, 2024, Comba et al.

    Gut Microbiome Signatures During Acute Infection Predict Long COVID Isin Yagmur Comba; Ruben T Mars; Lu Yang; Mitchell Dumais; Jun Y Chen; Trena M Van Gorp; Jonathan J. Harrington; Jason Paul Sinnwell; Stephen Johnson; La Rinda Holland; Adam K Khan; Efrem Lim; Christopher Aakre; Arjun Athreya...
  11. Wyva

    Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank, 2024, Huang et al

    Katherine Huang, Alex G. C. de Sá, Natalie Thomas, Robert D. Phair, Paul R. Gooley, David B. Ascher & Christopher W. Armstrong Abstract Background Diagnosing complex illnesses like Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is complicated due to the diverse symptomology and...
    • Wyva
    • Thread
    • 2024 alanine amino acids biomarker cholesterol comorbidity diagnostics lipids machine learning metabolomics sex differences sphingolipids sphingomyelin uk biobank
    • Replies: 52
    • Forum: ME/CFS research
  12. chillier

    Atlas of the plasma proteome in health and disease in 53,026 adults, 2024, Yue-Ting Deng et al

    Link: https://www.cell.com/cell/fulltext/S0092-8674(24)01268-6 Highlights • Construct a comprehensive proteomics atlas for 1,706 human diseases and traits • Machine-learning-based big data uncover promising diagnostic and predictive biomarkers • Identify 37 drug repurposing prospects and 26...
  13. SNT Gatchaman

    Sequence modeling and design from molecular to genome scale with Evo, 2024, Nguyen et al.

    Sequence modeling and design from molecular to genome scale with Evo Eric Nguyen; Michael Poli; Matthew G. Durrant; Brian Kang; Dhruva Katrekar; David B. Li; Liam J. Bartie; Armin W. Thomas; Samuel H. King; Garyk Brixi; Jeremy Sullivan; Madelena Y. Ng; Ashley Lewis; Aaron Lou; Stefano Ermon...
  14. Nightsong

    Multi-method phenotyping of Long COVID patients using high-dimensional symptom data, 2024, Green et al

    Multi-method phenotyping of Long COVID patients using high-dimensional symptom data Background Long COVID, characterized by symptoms that remain or emerge in the months after infection with COVID-19, has complex and highly variable patient presentations, with myriad seemingly disconnected...
  15. forestglip

    Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative, 2024, Bergquist et al

    Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative Timothy Bergquist, Johanna Loomba, Emily Pfaff, Fangfang Xia, Zixuan Zhao, Yitan Zhu Background While many patients seem to recover from SARS-CoV-2 infections, many patients report...
  16. Wyva

    Long COVID diagnostic with differentiation from chronic lyme disease using machine learning and cytokine hubs, 2024, Patterson et al

    Bruce K. Patterson, Jose Guevara-Coto, Javier Mora, Edgar B. Francisco, Ram Yogendra, Rodrigo A. Mora-Rodríguez, Christopher Beaty, Gwyneth Lemaster, Gary Kaplan DO, Amiram Katz & Joseph A. Bellanti Abstract The absence of a long COVID (LC) or post-acute sequelae of COVID-19 (PASC)...
    • Wyva
    • Thread
    • 2024 bruce patterson chronic lyme cytokines long covid machine learning
    • Replies: 1
    • Forum: Long Covid research
  17. SNT Gatchaman

    Preprint Fast Targeted Metabolomics for Analyzing Metabolic Diversity of Bacterial Indole Derivatives in ME/CFS Gut Microbiome, 2024, Tian et al.

    Fast Targeted Metabolomics for Analyzing Metabolic Diversity of Bacterial Indole Derivatives in ME/CFS Gut Microbiome Huidi Tian; Lei Wang; Elizabeth Aiken; Robert Jervine V. Ortega; Rachel Hardy; Lindsey Placek; Lina Kozhaya; Derya Unutmaz; Julia Oh; Xudong Yao Disruptions in microbial...
    • SNT Gatchaman
    • Thread
    • aryl hydrocarbon receptor gut microbiome machine learning metabolomics tryptophan
    • Replies: 0
    • Forum: ME/CFS research
  18. forestglip

    NATURAL: End-To-End Causal Effect Estimation from Unstructured Natural Language Data

    NATURAL: End-To-End Causal Effect Estimation from Unstructured Natural Language Data "Does semaglutide protect kidney health? Do later school times promote the well-being of children? These types of question about cause and effect drive decisions across medicine, policy, and business...
  19. SNT Gatchaman

    Blood DNA methylation in post-acute sequelae of COVID-19 PASC: a prospective cohort study, 2024, Balnis et al.

    Blood DNA methylation in post-acute sequelae of COVID-19 PASC: a prospective cohort study Joseph Balnis; Andy Madrid; Lisa A. Drake; Rachel Vancavage; Anupama Tiwari; Vraj J. Patel; Ramon Bossardi Ramos; John J. Schwarz; Recai Yucel; Harold A. Singer; Reid S. Alisch; Ariel Jaitovich BACKGROUND...
  20. forestglip

    Multikingdom and functional gut microbiota markers for autism spectrum disorder, 2024, Su et al

    Multikingdom and functional gut microbiota markers for autism spectrum disorder Published: 8 July 2024 Qi Su, Oscar W. H. Wong, Wenqi Lu, Yating Wan, Lin Zhang, Wenye Xu, Moses K. T. Li, Chengyu Liu, Chun Pan Cheung, Jessica Y. L. Ching, Pui Kuan Cheong, Ting Fan Leung, Sandra Chan, Patrick...
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