Research women have waited for.
ATHENA applies the evidence engine to conditions that affect women most and are studied least. It opens after a dedicated ethics and regulatory review.
Some conditions wait too long for answers.
Endometriosis, fibromyalgia and heart disease in women are often diagnosed late and studied with too little data. ATHENA starts with six areas: chronic pain, breast cancer, endometriosis, autoimmune disease, hormonal health and cardiovascular disease.
What it reads.
- Clinical datasets
- Structured research data on the conditions in each pillar.
- Patient signals
- Patient experience, taken in through a structured intake as a legitimate research signal.
How it works.
- Generate
- Each pillar is its own hypothesis engine on HGE, with differences between the sexes built in from the start.
- Track the delay
- Documented delays in diagnosis are tracked across conditions, such as the seven to ten years it takes to diagnose endometriosis.
- Gate
- Quality gates for ethics, privacy, clinical adoption and confidence in external validation sit in front of every output.
Six pillars first.
Six more are in a staged rollout: mental health, gynaecological and cervical cancer, bone health, sex-based dosing, diagnostic delay and an open commons.
- Chronic pain
- Fibromyalgia and its links to autoimmune and hormonal conditions, and why it is diagnosed late.
- Breast cancer
- Mechanisms by subtype, hormone receptor pathways and links to the biology of ageing.
- Endometriosis
- Immune and retrograde menstruation models of how it arises.
- Autoimmune disease
- Women account for about 80 percent of cases. Hormone and immune interactions and gaps in treatment.
- Hormonal health
- Menopause, perimenopause and endocrine disruption.
- Heart disease
- How heart attacks present in women and why they are missed.
In figures.
- 6
- Research areas in the first phase
Nothing opens before the ethics review.
ATHENA is in development and opens only after a dedicated ethics and regulatory review. It is built to the HGE adapter rules for explainability under the EU AI Act, for GDPR and for research ethics, and everything it produces is meant to be published under CC BY 4.0.
Who it serves.
- Clinical researchers in women's health.
