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Research Center
for Complex Diseases

From Data to Disease Mechanism and Treatments

About the research center

Each OMF funded study is selected, with oversight from our Scientific Advisory Board, for its ability to provide meaningful data that will fuel the search for treatment and diagnosis. This data is essential to develop diagnostic technologies, understand the molecular basis of the diseases, and uncover effective diagnostic tools and treatments. Under the direction of Wenzhong Xiao, PhD,  the Computational Research Center for Complex Diseases analyzes and integrates the data from OMF funded studies, an essential step in developing diagnostics and treatments.

Woman researcher in the distance, looking at computer
Wenzhong Xiao, PhD, headshot

Dr. Xiao is a world expert in computational genomics and the Director of the Immuno-Metabolic Computational Center at Massachusetts General Hospital (MGH), Harvard Medical School. He also leads a Computational Genomics Group at Stanford Genome Technology Center (SGTC). His research is at the interface of computation, genomics and medicine. In collaboration with Open Medicine Foundation, his lab analyzes studies on ME / CFS and compares ME / CFS with other diseases.

Core Aims


expertise on bioinformatics and computation essential to research projects


statistical and bioinformatic analyses of collaborative research studies



and apply of state-of-the-art algorithms to uncover ME/CFS disease mechanisms and drug targets


and maintain ME/CFS Data Center platform for data sharing and online collaboration
Complex layers representing research focus

Fundamental Philosophy

  • Work collaboratively with OMF funded research centers to analyze and integrate the data from their studies
  • Use the most advanced technology to provide expert computation of OMF funded research projects, from study design, to performing the research, to interpretation of the results
  • Utilize the power of OMF’s collaborative and open research strategy by hosting and sharing data through a common data center

Sample studies

Severely ill Patient

The goal of the Severely ill Patient Study was to conduct a comprehensive “Big Data” analysis on severely ill ME/CFS patients in order to begin an exploration to find the molecular basis of ME/CFS.

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Autoimmunity and Autoantibodies

The aim is to investigate potential differences in adrenergic and muscarinic receptor autoantibody levels in plasma and cerebrospinal fluid samples between ME/CFS patients and healthy controls.

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Deep Assessment of Neuroinflammation Study

We will explore the hypothesis that deranged flow of the cerebrospinal fluid (CSF) due to craniocervical obstructions and/or instability may cause deranged intracranial pressure (ICP), neuroinflammation and cardinal symptoms of ME/CFS.

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Stress-Activated MicroRNAs

Studying microRNAs could help to bridge the conceptual gap between genetic predisposition and environmental factors causing ME/CFS or exacerbating specific symptoms.

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iCPET Omics Studies of ME/CFS

This Harvard study evaluates the different explanations of heart preload failure in ME/CFS patients to determine which is active in many, if not all, ME/CFS patients. The Computation Center is now seeking to better understand the causes of ME/CFS (PLF, the high flow type) as well as to identify potential drug targets for future therapies.

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The Life Improvement Trial

The Life Improvement Trial (LIFT) aims to investigate two drugs, separately and in combination, Pyridostigmine (commonly known as Mestinon) and Low-Dose Naltrexone (LDN), for efficacy and to research the difference between responders and non-responders.

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SUPPORT OMF Funded Critical Research

Please help us expand our research efforts across the globe. Every donation brings us closer to a fully-funded research effort and the answers we all seek.

Learn about Our Other OMF Funded Collaborative Research Centers

Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME / CFS) Post Treatment Lyme Disease Syndrome (PTLDS), Fibromyalgia Leading Research. Delivering Hope.Open Medicine Foundation®

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