News

Detect drug interactions with AI

Date of publication: 11 months ago

Share this:

News

Detect drug interactions with AI

In this short series, we’re showing you use cases of safe, transparent and trustworthy AI that, in our opinion, will revolutionise MedTech sector.

One of the research directions is analysis of drug interactions. According to study published in 2018 in IEEE Journal of Biomedical and Health Informatics called “Semi-Supervised Learning Algorithm for Identifying High-Priority Drug–Drug Interactions Through Adverse Event Reports”, it is possible to find what drugs interact negatively with each other based on reports on adverse reactions to them.

Why is it important? Such system is able to:

  • increase patients’ safety,
  • decrease the need of patients going to the doctor when taking temporary medication together with long-term one (for example: temporary pain medication with long-term blood pressure stabilising drugs),
  • decrease the necessity to visit doctor again if patient forgets to mention medications they are taking.

Authors want to pursue the research even further and at some point develop a system which will analyse similar interaction on a personal level, based on genomics information from the patient.

The full study can be found on: https://ieeexplore.ieee.org/document/8786248.

Other posts

Breaking news from MIM Solutions

Follow us

المدونة

Wie es um die polnische Informatik

Es ist nicht so schlimm mit dieser Informatik, aber es gibt immer noch eine Menge zu tun. Unser Gespräch (Mikołaj Bojańczyk, Stefan Dziembowski und ich)

Events

ESHRE ANNUAL MEETING 2022

Since Sunday MIM Solutions has been at 38th ESHRE ANNUAL MEETING in Milan – the world’s largest in-person reproductive science and medicine event organized by

News

Modern AI solutions for business

How to transform healthcare and make the work of doctors and healthcare professionals easier? How to use AI to help various companies? Our CSO, Piotr