ENDO4P

Research goals

Our ultimate goal is to create safe digital solutions for in-depth assessment of the hormonal system and its contribution to well-being, enabling people to live healthy lives and allow earlier diagnoses and targeted personalized prevention and treatment.

Illustration of the endocrine system in a body.

Photo:

Colourbox.com

Main content

Primary objective: Introduce multi-dimensional dynamic data collection and analysis deploying medical artificial intelligence to advance our understanding of pathogenesis of endocrine disorders, improve diagnostics, treatment, and monitoring, and empower the patient to self-management.

Secondary objectives:
1. Integrate dynamic hormone assays with omics analyses and deep behavioral mapping to redefine endocrine health and wellbeing using machine learning

2. Identify aberration to develop new diagnostic criteria and predictive and prognostic biomarkers for endocrine diseases

3. Assess and solve legal, ethical and security issues in relation to datamining and analyses.

Immune failure can cause serious COVID-19

Persons with critical corona-disease may have antibodies blocking the body´s most important defence mechanisms.

Human cells can change job to fight diabetes

For the first time, researchers have shown that ordinary human cells can change their original function. The UiB-resarch published in Nature may give new hope for diabetes patients.

A new tool uncovers how a disease develops in individual patients

UiB and Imperial College researchers have developed a tool which predicts how progressive diseases like cancer and malaria develop in individual patients. In addition, the tool uncovers how bacteria develop resistance to certain drugs.

23.11.2020