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.

For that, we use the data science and machine learning platform Neural Designer. Download the free trial to follow these examples step by step.

Breast cancer diagnosis

Diagnose the presence of breast cancer
from digitized images of cell nuclei.

Blood donation campaign

Create a model that can predict which
people are more likely to donate blood.

Urinary inflammation diagnosis

Diagnose the urinary bladder using
a dataset from a medical expert.

Leukemia microarray analysis

Diagnose the type of leukemia
using DNA coding.

Nanoparticle adhesive strength

Predict the vascular adhesion of nano
particles from their wall shear rate.

Activity recognition

Recognize human activities in real life
situations through activity recognition.

Dermatological disease

Diagnose dermatological diseases from
clinical and histopathological features.

Obesity level

Estimate obesity levels based on
eating habits and physical condition.

Diabetic retinopathy prognosis

Prognosticate a future event,
diabetic retinopathy.

Colon cancer treatment

Colon cancer treatment
using levamisole and fluorocil.

Liver disease diagnosis

Diagnose liver diseases
from different types of analysis.

Lung cancer

Early detection of
lung carcinoma.

Pancreatic cancer

Urinary biomarkers for
pancreatic cancer detection.

Colon cancer liver metastasis

Predict liver metastasis in colon
cancer using mutational data.

Breast cancer mortality

Predict breast cancer mortality
from patients gene panel.

Lung cancer recurrence

Predict lung cancer recurrence
from patients gene expression.