Using Transcriptome AI for Disease Characterization and Treatment Options
Understanding Fibromyalgia?
Fibromyalgia is a complex condition characterized by chronic widespread pain, fatigue, and other symptoms. It is considered a disorder of the central nervous system that affects the way the brain processes pain signals. Fibromyalgia is a relatively common condition in the United States. According to estimates from the Centers for Disease Control and Prevention (CDC), approximately 4 million adults, or about 2% of the adult population, are diagnosed with fibromyalgia. However, it’s worth noting that due to the varied and sometimes overlapping symptoms of the condition, it can be challenging to accurately diagnose and track its prevalence. Additionally, fibromyalgia is more common in women than men, with women accounting for about 80-90% of diagnosed cases.
How Can Transcriptome AI Analysis be Beneficial for Addressing Fibromyalgia?
Transcriptome AI analysis can contribute to the development of personalized treatment strategies for fibromyalgia patients. By analyzing individual gene expression profiles, we can gain insights into the unique molecular characteristics of each patient’s condition. This information can assist in tailoring treatment plans and selecting therapies that are effective for each individual.
Fibromyalgia Pipeline
BIOMARKERS • PATHWAYS • DISEASE RELATED TREATMENT
Rheumatoid Arthritis, Systemic Lupus Erythematosus, Fibromyalgia, Multiple Sclerosis, Crohn’s Disease, Myasthenia Gravis, Obesity Metabolic Syndrome, Polymyalgia Rheumatica, Polymyositis, Hashimoto’s Thyroiditis, Behcet’s Disease, Sjogren’s Syndrome, Dermatomyositis, Systemic Sclerosis, IBS, Chronic Fatigue Syndrome (CFS), IgG4-Related Disease, Celiac Disease, Ankylosing Spondylitis, Graves’ Disease, Psoriatic Arthritis, Autoimmune Hepatitis, Guillain-Barre Syndrome, Mast Cell Activation Syndrome, Hypothyroidism, Small Fiber Neuropathy, Chronic Inflammatory Demyelinating Polyneuropathy (CIDP), Amyloidosis, Lichen Planus, Pernicious Anemia, Antiphospholipid Syndrome, Vitiligo, Fibrosing Alveolitis, Chronic Inflammatory Arthropathy, Type 1 Diabetes, Uveitis, Alopecia Areata, Chronic Lyme Disease, Interstitial Cystitis, Pemphigus, Autoimmune Inner Ear Disease (AIED), Polyarteritis Nodosa, Autoimmune thrombocytopenic purpura (ITP), Wegener’s Granulomatosis, Goodpasture’s Syndrome, Temporal Arteritis, Ehlers-Danlos Syndrome, CREST Syndrome, Churg Strauss Syndrome (Eosinophilic Granulomatosis with Polyangiitis), Vasculitis, Primary Biliary Cholangitis (PBC), Primary Sclerosing Cholangitis (PSC), POTS (Postural Orthostatic Tachycardia Syndrome), Polychondritis, Autoimmune Pancreatitis.
Strategy
CATEGORIZE TREATMENR • PRECISE TREATMENT OPTIONS • TREATMENT MONITORING • ADVERSE SIDE EFFECTS PREDICTION
• Simple Blood Draw of less than 4 ml
• Via F420 Draw Station Centers
• Fibromyalgia Testing Kit Distribution (F420 Kit)
• Immune cells circulating in blood are early responders to various biological triggers
• mRNA in the immune cells provide a unique map of gene and biological activity
• Full Tanscriptome analysis of mRNA by NGS Sequencing reveals the status of the immune system and the host-response
• Al-Based algorithm of Transcriptome profiling – Analysis – Bioinformatics
• Report within 7 business days or less
• Transcriptome profiling – analysis interpretation to help Categorize the Illness, help find the best Precise Treatment Options, Treatment Monitoring, and Predict Adverse Side Effects.
• Subscription, one time testing, or 4 times testing every 3 months plan or per request any time (recommended), 6 times or more based on case circumstances.
• No Physician order is required.
• Consultation with our Ayass Research Institute Team is available in person or via Teleconference.
18,000 Transcriptome Gene Tested
Expression Patterns and Molecular Pathways involved in Fibromyalgia
Fibromyalgia Evaluation Program
Utilizing AI analysis of the transcriptome proves advantageous in tackling Fibromyalgia
Transcriptome AI Genomic Analysis contributes to the development of personalized treatment strategies for fibromyalgia patients
By analyzing individual gene expression profiles, we are gaining insights into the unique molecular characteristics of each patient’s condition. This information assists in tailoring treatment plans and selecting therapies that are effective for each individual.
The report details a summary of the findings in the upper right-hand corner followed by data tables containing the identified biomarkers, pathways, and pathway-related therapies.
Example of short summary report: The report presented a characterization of Fibromyalgia through the identification of relevant biomarkers and pathways. The analysis revealed underlying characterization of Systemic Lupus Erythematosus in connection to Fibromyalgia. Pathway related treatment found: Belimumab (Benlysta), Pregabalin. READ MORE