smart mole scanner

HÜD turns any smartphone into a dermatoscope

The smart mole scanner, which is designed to be attached to a smartphone's camera, is now live on crowdfunding website Indiegogo.
Voluntis

Voluntis, AstraZeneca to test companion app in ovarian cancer studies

The app will help clinicians and patients manage side effects of hypertension and diarrhoea, which can be associated with therapy with cediranib and olaparib.
elderly patient treatment risk

University of Michigan unveils an app for breast cancer patients

Called Breast Cancer Ally, the application was developed after gathering feedback from both specialists who cared for patients and patients themselves.
Fitbit Charge HR

Cedars-Sinai to use Fitbit Charge HR in a small trial of cancer patients

Researchers want to use the activity tracker to determine if it can help oncologists assess whether their patients are active enough for chemotherapy.
Honor app

Honor adds cancer care to its caregiver services program

The company's will license American Cancer Society's care guidance so that its Care Pros can give specialized care to clients diagnosed with cancer.
Fitbit Charge HR

New study uses Fitbit to test if weight loss can prevent breast cancer recurrence

The Breast Cancer Weight Loss (BWEL) study will enroll nearly 3,200 overweight and obese women with early stage breast cancer.
Belong app

This app helps cancer patients control their treatment journey

One of the app features helps to manage, and track appointments, treatments, goals, tips, information, and what has worked for others in similar situations.
Eva bra

Mexican student invents cancer-detecting bra

The device uses two hundred small tactile biosensors that map the surface of the breast and monitor changes in texture, color and temperature.
Sunface app

This selfie app aims to prevent skin cancer

The Sunface app photoages the user's skin based on skin type and individual UV-protection behavior.
BiliScreen app

An app uses smartphone’s camera to screen for pancreatic cancer

Called BiliScreen, it relies on computer vision algorithms and machine learning tools to detect increased bilirubin levels in a person's sclera.