The power of artificial intelligence for analyzing health data will empower physicians and speed up decision-making in the clinic.
Below you can find some worked examples of machine learning in hearlthcare and medicine.
Diagnose the presence of breast cancer
from digitized images of cell nuclei.
Create a model that can predict which
people are more likely to donate blood.
Diagnose the urinary bladder using
a dataset from a medical expert.
Diagnose the type of leukemia
using DNA coding.
Predict the vascular adhesion of nano
particles from their wall shear rate.
Recognize human activities in real life
situations through activity recognition.
Diagnose dermatological diseases from
clinical and histopathological features.
Estimate obesity levels based on
eating habits and physical condition.
Prognosticate a future event,
Colon cancer treatment
using levamisole and fluorocil.
Diagnose liver diseases
from different types of analysis.
Early detection of
Urinary biomarkers for
pancreatic cancer detection.
Predict liver metastasis in colon
cancer using mutational data.
Predict breast cancer mortality
from patients gene panel.
Predict lung cancer recurrence
from patients gene expression.