International Long COVID Day: Diagnostics Urged as PrecisionLife Makes Genetic Breakthroughs
PrecisionLife’s AI Revolutionizes Long COVID and ME/CFS Treatment
Table of Contents
- PrecisionLife’s AI Revolutionizes Long COVID and ME/CFS Treatment
- PrecisionLife and the AI revolution in treating Long COVID and ME/CFS: A Comprehensive Q&A Guide
- What is PrecisionLife and how does it use AI to revolutionize the treatment of Long COVID and ME/CFS?
- What are Long COVID and ME/CFS and why are they difficult to diagnose and treat?
- How does PrecisionLifeS AI-driven approach differ from traditional genome-wide association studies (GWAS)?
- What is combinatorial analytics and how does PrecisionLife utilize it?
- Who are the key people behind PrecisionLife, and what are their backgrounds?
- What are the technologies that underpin PrecisionLife’s approach?
- Could you elaborate on the Metrodora Institute partnership mentioned in the text?
- what are some of the specific findings and results that have come out of the PrecisionLife and Metrodora Institute partnership?
- how does PrecisionLife’s work contribute to personalized medicine?
- what are ‘actively protective’ genes, and how are they relevant to PrecisionLife’s research?
- how does PrecisionLife ensure scalability and accessibility of its technology?
- What is the potential impact of identifying ‘actively protective’ genes?
- Summary Table: PrecisionLife’s Impact on Long COVID and ME/CFS
March 15th marked International Long COVID Awareness Day. This condition affects at least 65 million people and is increasing annually,creating a healthcare burden exceeding $1 trillion globally.
Long COVID shares commonalities with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), a chronic illness characterized by fatigue that worsens with activity. Both conditions are tough to diagnose and treat due to varied symptoms and affected organs.
Despite their impact, there are no tools to accurately diagnose patients and no drugs that treat the underlying causes of the diseases. This has lead to misunderstanding and denial of the diseases, which further harms sufferers.
The UK precision medicine company PrecisionLife leverages AI and combinatorial analytics to find deeper genetic associations than traditional analysis methods. This explains more about how complex diseases manifest in patients and uncovers hidden patterns in complex patient data, enabling breakthroughs in diagnostics, drug discovery, and precision medicine.
PrecisionLife co-founder and CEO Steve Gardner shared the company’s insights and their success in bringing new insights to aid the diagnosis and treatment of long COVID and other complex chronic diseases at the Hevolution global healthspan summit in Riyadh.
Transforming Disease Understanding Through Advanced Data Analytics
PrecisionLife’s AI-driven approach identifies combinations of genetic and non-genetic factors that drive disease in different patient subgroups,going beyond traditional genome-wide association studies (GWAS).
Gardner explains the technological foundation of the company:
Technologically, we reimagine how you analyze data, and this is really the genesis of the company—bringing two sets of technology together. One that I had developed over the last 20 years and another that my co-founder, a mathematician and computer scientist, had been developing for even longer—actually 30 years.
We realised that if we put those two things together, we would actually have a way of dealing with these hyper-complex, big patient datasets with all of the genomic facts, all the multi-omics, proteomics, epigenetics, and everything else like that, and correlating it with things like longitudinal electronic medical records (EMR) or electronic health records (EHR) and epidemiological and environmental information.
Metrodora Institute partnership
PrecisionLife is partnering with the Metrodora Institute to bring researchers, doctors, and patients together to rapidly improve diagnostics, treatments, and outcomes in complex conditions like ME/CFS and long COVID.
PrecisionLife is running a series of clinical studies on 1,000 patients – 500 with ME and 500 with long COVID.
“The speed and precision of our progress in these trials is remarkable,” saeid Gardner.
We identified and published the frist-ever replicated genetic associations in both ME/CFS and Long COVID.
Gardner detailed:
We have started returning results to Metrodora patients based on the specific disease risk signatures a patient has and the symptoms they are most likely to experience.
Patients come to us, and they say, this is brilliant. You know, it’s the first time a test has reflected my personal view of what’s going wrong in my disease. And clinicians love it because it guides them to amending therapy.
According to Gardner, this has great possibilities for personalised medicine:
Just think about this: clinically validated novel targets and the ability to select patients who will benefit from drugs modulating that target. That’s incredible. It’s like the NHS-led RECOVERY trial in COVID-19 that discovered dexamethasone—but on steroids—because we’re using genetic evidence to pick the most promising treatments.
Further, last month, the partnership successfully reproduced key genetic risk factors for Long COVID in diverse populations, confirming 88 percent of previously identified genes.
This marks the strongest genetic evidence for Long COVID and supports biomarker-driven diagnostics and targeted treatments.
Additionally, 11 out of 13 drug repurposing candidates were validated, paving the way for clinical trials and personalised therapeutics.
What’s exciting about PrecisionLife’s work is its potential across a variety of spaces in medical research.
The company initially focused on biopharma,working with pharmaceutical companies and Contract Research Organizations (CROs) to uncover novel drug targets.
Such as, as gardner detailed:
When you’ve seen the same target underpinning disease in 30–40% of a major market, that might offer an opportunity to indication-switch an existing asset into a new indication.There’s real value in that.
PrecisionLife is also using genetic-based diagnostics to improve early disease identification and clinical decision-making.
Take endometriosis—it takes 8–10 years for a confirmed diagnosis via surgery. If we can turn that into a buccal swab that reports in two weeks and refers a patient accurately to a gynecologist that’s a game-changer.
Individually, these advances are crucial for patients. But when you add up the costs of delayed diagnosis and misclassification, they become very meaningful.
Additionally,precisionlife’s insights can optimise patient triage,Gardner shared:
For example,we’re working with the healthcare system where 5,000 patients are referred to rheumatology yearly due to a non-specific ANA test. Only 10 per cent actually have a rheumatological condition. That’s a massive misclassification problem blocking the system.
Rather than building its own diagnostic business,PrecisionLife is licensing its tests and decision support systems to existing healthcare infrastructures.
We don’t want to build a massive diagnostic business ourselves. The platforms we use are standard and available globally. We can license the content and clinical decision support system to operate these tests across multiple markets.and what’s exciting is that it’s almost disease-agnostic.
This model allows for scalability, making their technology accessible across multiple conditions and healthcare markets worldwide.
Is the Future ‘Actively Protective’ Genes That Shield Against Disease?
PrecisionLife is pioneering a new approach to disease prevention by identifying ‘actively protective’ genes—genetic factors that shield certain high-risk individuals from developing diseases. Traditionally, genetic research focuses on identifying disease-causing mutations, but this new method flips the process, searching instead for individuals who should have developed a disease but remain healthy despite having high genetic risk and exposure to disease triggers.
A recent study on ME/CFS identified nine protein-coding genes with protective effects,possibly counteracting known disease mechanisms related to insulin signaling,stress response,and autoimmunity.
These findings open up possibilities for new preventative therapies, including drug targets that function similarly to statins, which lower cholesterol to prevent heart disease.
Additionally, some of these protective genes could be harnessed for mRNA-based treatments, using the same technology as COVID-19 vaccines to boost natural disease resistance. This could lead to personalised protective treatments, extending healthspan and improving quality of life for high-risk individuals before disease ever develops.
PrecisionLife and the AI revolution in treating Long COVID and ME/CFS: A Comprehensive Q&A Guide
International Long COVID Awareness Day is observed on March 15th. Long COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) are two complex conditions that affect millions worldwide. Conventional methods have struggled to provide accurate diagnoses and effective treatments. PrecisionLife,a UK-based precision medicine company,is transforming the landscape by leveraging AI and combinatorial analytics to uncover deeper genetic associations and improve patient outcomes.
What is PrecisionLife and how does it use AI to revolutionize the treatment of Long COVID and ME/CFS?
PrecisionLife utilizes AI and combinatorial analytics to identify deeper genetic associations than traditional methods. This approach helps to explain how complex diseases manifest in patients and uncovers hidden patterns in complex patient data, which enables breakthroughs in diagnostics, drug discovery, and precision medicine for conditions like Long COVID and ME/CFS.
What are Long COVID and ME/CFS and why are they difficult to diagnose and treat?
Long COVID and ME/CFS are complex chronic illnesses that share several characteristics:
Varied Symptoms: Both conditions present a wide array of symptoms that can affect multiple organs, making diagnosis challenging.
diagnostic Challenges: Ther are currently no definitive diagnostic tools to accurately identify patients with either condition.
Lack of Effective Treatments: No drugs specifically target the underlying causes of Long COVID or ME/CFS.
Misunderstanding and Denial: The lack of clear diagnostic markers and effective treatments has led to misunderstanding and, at times, denial of these diseases, further harming patients.
How does PrecisionLifeS AI-driven approach differ from traditional genome-wide association studies (GWAS)?
PrecisionLife’s AI-driven approach identifies combinations of genetic and non-genetic factors that drive disease in different patient subgroups. This goes beyond traditional genome-wide association studies (GWAS) by:
Analyzing a broader range of factors beyond just individual genes.
Identifying patterns and combinations of factors that affect specific patient subgroups.
Providing a more nuanced understanding of disease mechanisms and potential therapeutic targets.
What is combinatorial analytics and how does PrecisionLife utilize it?
Combinatorial analytics involves analyzing combinations of variables to identify patterns and relationships that are not apparent when examining individual variables in isolation. PrecisionLife uses this to analyse complex datasets, including genomic, clinical, and environmental data, to understand how different factors interact to influence disease development and progression.
Who are the key people behind PrecisionLife, and what are their backgrounds?
Steve Gardner: Co-founder and CEO of PrecisionLife.
Co-founder: A mathematician and computer scientist who co-developed the technology behind precisionlife’s analytics platform.
Gardner’s background, combined with his co-founder’s expertise, enabled the integration of advanced data analysis techniques to tackle complex medical challenges.
What are the technologies that underpin PrecisionLife’s approach?
PrecisionLife combines two key technological approaches:
Advanced Data Analytics: Algorithms and methods developed over 20-30 years to analyze complex datasets.
Combinatorial Analytics: Techniques to identify non-obvious data patterns.
By combining these technologies, PrecisionLife can process and interpret hyper-complex patient data, including genomic information, multi-omics data, electronic health records, and epidemiological information.
Could you elaborate on the Metrodora Institute partnership mentioned in the text?
The Metrodora Institute and precisionlife are partnering to:
Bring researchers, doctors, and patients together.
Accelerate improvements in diagnostics.
Enhance treatments.
Improve outcomes for complex conditions like ME/CFS and Long COVID.
PrecisionLife is conducting clinical studies on 1,000 patients (500 with ME and 500 with Long COVID) as part of this partnership.
what are some of the specific findings and results that have come out of the PrecisionLife and Metrodora Institute partnership?
The partnership has achieved significant milestones:
Identification of Genetic associations: They identified and published the first-ever replicated genetic associations in both ME/CFS and Long COVID.
Personalized Results for Patients: Metrodora patients are receiving results based on their specific disease risk signatures and likely symptoms.
Clinician Guidance: Clinicians are using these results to adjust and improve patient therapy.
Validation of Genetic Risk Factors: Key genetic risk factors for Long COVID have been reproduced in diverse populations, confirming 88% of previously identified genes.
Drug Repurposing: 11 out of 13 drug repurposing candidates were validated.
how does PrecisionLife’s work contribute to personalized medicine?
PrecisionLife’s approach enables personalized medicine by:
identifying Clinically Validated Targets: Finding novel targets for drug development.
Patient Selection: Identifying patients who are most likely to respond to drugs that modulate those targets.
Genetic-Based Diagnostics: Improving early disease identification and clinical decision-making.
what are ‘actively protective’ genes, and how are they relevant to PrecisionLife’s research?
PrecisionLife identifies genetic factors that shield high-risk individuals from developing diseases. Instead of searching for disease-causing mutations, they seek out individuals who remain healthy despite high genetic risk and exposure.
A recent study on ME/CFS identified nine protein-coding genes with protective effects related to insulin signaling, stress response, and autoimmunity.
This approach opens possibilities for new preventative therapies, drug targets, and mRNA-based treatments to boost natural disease resistance.
how does PrecisionLife ensure scalability and accessibility of its technology?
Rather than building its own diagnostic business, PrecisionLife is licensing its tests and decision support systems to existing healthcare infrastructures. This model allows for scalability, making their technology accessible across multiple conditions and healthcare markets worldwide.
What is the potential impact of identifying ‘actively protective’ genes?
Preventative Therapies: Identifying targets for new drugs that mimic the protective effects of these genes.
mRNA-Based Treatments: Using mRNA technology to boost natural disease resistance.
Personalized Protection: Tailoring preventative treatments to individuals at high risk of developing specific diseases.
Extended Healthspan: Improving quality of life for high-risk individuals.
Summary Table: PrecisionLife’s Impact on Long COVID and ME/CFS
| Area | Impact |
| :———————- | :————————————————————————————————- |
| diagnostics | Earlier and more accurate identification of Long COVID and ME/CFS through genetic-based diagnostics. |
| Treatment | Identification of novel drug targets and repurposing opportunities for existing drugs. |
| Personalized Medicine | Tailoring treatments based on individual genetic profiles and disease risk signatures. |
| Disease Understanding | Uncovering hidden patterns and genetic associations in complex patient data. |
| Prevention | Identifying ‘actively protective’ genes for potential preventative therapies. |
