Cancer Risk
ML Predictor
Answer questions about your demographics, lifestyle, and medical history. Our machine learning model, trained on ACS Cancer Facts & Figures 2026 epidemiological data, predicts your relative cancer risk compared to the average US population.
Demographics
White
Black / African American
Hispanic / Latino
American Indian / Alaskan Native
Asian American / Pacific Islander
Lifestyle Factors
Never smoked
Former smoker
Current smoker
Normal (18.5–24.9)
Overweight (25–29.9)
Obese (30–39.9)
Severely Obese (40+)
None
Light (1–7 drinks/wk)
Moderate (8–14/wk)
Heavy (15+/wk)
Sedentary / low activity
Moderately active
Active (150+ min/wk)
Poor (high red/processed meat)
Average
Healthy (high fruit/veg/fiber)
Medical History
Toggle any conditions that apply to you
Family history of cancer
Type 2 Diabetes
Hepatitis B or C
HPV infection
H. pylori infection
Inflammatory Bowel Disease
Prior radiation therapy
Immunosuppression
Precancerous lesions
Environmental Exposures
Toggle any exposures that apply to you
Occupational chemical exposure
High UV / sun exposure history
Cancer Types of Interest
Select specific cancers to get individual lifetime risk estimates
Optional: leave unselected for overall relative risk only
Lung
Colorectal
Breast
Prostate
Melanoma
Liver
Cervical
Stomach
Bladder
Lymphoma
Leukemia
Pancreatic
ACS Risk Assistant
Personalized to your profile
Assistant is thinking…