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Accelerating New Therapy Adoption with Counterfactual Stratification

From POPULATION to patient with geN ai

Medical images detect tumors. What if they helped clinicians look ahead too, for treatment benefits? Meet the GenAI companion Cancer4D.   

Evidence of treatment efficacy was limited to cohorts, until now

Our patient-level insights:

Identifying patients benefiting the most of new therapies
Predicting benefits-risks from comparing with treated patients

WE NEED TO CHANGE THESE STATISTICS

How we're impacting cancer care

1 in 8 women will be diagnosed with breast cancer.  30% of those women will develop metastatic disease. We  need to do better.

0 years

between approval and peak sales for popular breast cancer drug

Source: Kim et al, 2025

0 patients

gaining access to new therapies per year faster adoption

Source: Serra-Burriel et al, 2023

0 %

lower adoption at smaller practices with 1 to 5 physicians

Source: Carroll et al, 2023

Predict fast-progressing disease for better treatment decisions

AI:LEEN CAN VIUALIZE THE TREATMENT RESPONSE

Likely progression speed 

based on historical images.
We use a patient's imaging history to predict how a disease likely develop.

10% of women have early signs of cancer. 4% get biopsy. Only 0.6% have cancer. We predict the presence of disease, especially where biopsies are difficult, e.g. brain cancer and Alzheimer's.

Sometimes diesease progresses so slow that nothing needs to be done. Sometimes it is aggressive, e.g. triple-negative breast cancer. We predict the progression speed, informing doctors about how to treat the disease.

We have trained our AI with breast and brain images, and are extending our capabilities to lung and prostate. Our goal is to cover oncology and neurological diseases, including Multiple sclerosis (MS), Amyotrophic lateral sclerosis (ALS), Huntington's disease and Parkinson's, to initally support pharma clinical trials and then later patients in the clinic. 

Learn more for

Healthcare providers and pharma companies

Go to our pages with more information.

Aileen Health, founded by Anna Tidstam, is revolutionizing healthcare with its “Screening Without Screening” approach. This method uses machine learning on existing data to predict cancer without traditional screening. Recognized at MIE2024 in Athens, the project employs digital intuition for personalized health predictions, aiming to transform healthcare systems. Applying AI to image data enhances recommendations while leaving final decisions to human experts.

Let the algorithm be on top of your data.

Lars Lindsköld, PhD
President European Federation for Medical Informatics

As a strong screening supporter, having learned from Norwegian, Dutch, and Swedish screening programs, and as a member of the German screening initiative, I am truly excited about Aileen’s impact. By leveraging advanced AI in population-based health, especially in areas like breast cancer screening, Aileen enables faster, more accurate diagnoses, giving doctors more time for personalized, empathetic patient interaction. This approach ensures that while technology leads in precision, the human touch remains at the heart of care.

Aileen Health doesn’t just automate—it elevates.

Sebastian Sigbjörn Graebe
20-Year Popular Screening Advocate, Healthcare Innovator, and AI-Driven Preventive Care Leader on C-Level

As a young woman, the risks of breast and interval cancer can be worrying. However, knowing that Aileen Health enables radiologists to not only detect breast cancer but also evaluate future risks of interval cancer gives me peace of mind. The thorough approach to early detection and prevention helps me feel more confident and reassured about the health of my family, friends and myself.

Matilda Åboge Eriksson
Woman

It is a great relief for women to hear that there are no signs of cancer for the next 2 years. Especially for women with a family history of cancer.

Mary
Breast radiologist

TESTIMONIALS

Aileen Health started from conversations with women

Together with providers and pharma, we can make sure women stop dying from the disease.

ai:leen helps make decisions for better patient outcomes

MORE THAN JUST AUTOMATION

Some cancers develop very slowly and are less likely to spread. Some quickly grow into invasive breast cancers. We predict progression and help choose the most effective treatment.

Automated administration, e.g. reports

Automated diagnosis

ai:leen: Predicted disease progression 

Improved patient outcome from using AI

Our AI is designed to help all women

EQUAL CARE FOR ALL

  • For fast-growing cancers

    Unlike traditional screening programs, our AI can detect fast-growing cancer subtypes such as triple-negative breast cancer.

  • For women of color 

    This cancer subtype is twice as common among Black women, who generally have the lowest survival rate for breast cancer.

  • For all insurances

    We want insurance providers and employers to include ai:leen in their health plans. This will avoid out-of-pocket payments and ensure equal access for patients.

OUR MANAGEMENT TEAM

AI meets healthcare

Our management team has decades of experience in AI and working with the US healthcare system.

Contact us now

FAQs

Frequently asked questions

How our technology works, its benefits, and how to get started. If you don’t see your question, please don’t hesitate to reach out.

Contact us now
  • How can AI simulate cancer progression?

    Simply put: Our AI looks at existing images and identifies the differences. It then calculates how these differences will develop in future images. The more data it looks at, the better our AI gets at predicting the future. It can also use data to simulate different scenarios. That way, it can predict individual outcomes based on a patient’s specific risk factors.

  • What are the benefits of using ai:leen for breast cancer prevention?

    ai:leen can predict individual disease progression. This means that it helps plan effective treatment for each patient, avoiding both undertreatment and overtreatment. It also detects breast cancer earlier than traditional methods and can prevent fast-growing cancers from spreading.

  • Is ai:leen user-friendly?

    Yes, because we want everyone to be able to use our AI. Accessibility is important to us. We also provide comprehensive support to ensure that users make the most of ai:leen’s features.

  • Can ai:leen provide personalized recommendations for breast health?

    Absolutely! Our AI analyzes individual health data, family history, and lifestyle factors. Using this data, it offers tailored recommendations for preventive measures.

  • How can I get started with ai:leen?

    We’re working tirelessly to make ai:leen available to everyone. Join our mailing list below and we will let you know when and where our AI will be available for clinical use.

Our next stops

Meet us in person

We’re presenting ai:leen at events and conferences around the world. Are you interested in our AI tool? We’d love to meet you in person!

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