An innovation platform sponsored by the Novo Nordisk Foundation

BETA.HEALTH innovation grants aim to boost innovation projects at Danish hospitals.

Our goal is to ignite and accelerate the development of new or improved treatments and clinical solutions that benefit patients – and society at large.

This is an overview of our grant recipients.

Praemostro.com – Odense University Hospital

Emergency departments are one of the most unpredictable areas of hospital operations. Hospitals struggle to anticipate optimal staffing levels, mostly basing their decisions on intuition and a loose reliance on past patterns. Praemostro.com is a machine-learning-enabled system that can reliably forecast demand in high-variability settings such as hospital emergency departments, thereby improving management’s ability to schedule staff according to need.

Project Spotlight: 3Sonic – Rigshospitalet

Oral cavity cancer is the second most common head and neck cancer in Denmark. It can be difficult to accurately identify a tumor's boundaries during surgery, and inadequate surgical margins for oral cancer are estimated to be as high as 44 percent. 3Sonic enables surgeons to immediately evaluate the surgical margins of resected tumors using a 3D ultrasound visualisation. This improved precision can reduce the need for repeated treatment and significantly improve patient outcomes.


BloomBaby – Aalborg University Hospital

Infertility affects up to 20 percent of couples trying to conceive. Current go-to treatments for infertility rely on extensive tests, hormone stimulation and invasive procedures – all of which are physically and emotionally exhausting as well as costly. BloomBaby is a bridge between infertility and invasive clinical treatments, offering an alternative to ‘suffering with infertility’ or ‘suffering from fertility treatment’. It gives couples a viable chance of conceiving naturally.

Ex Vivo Expansion of Hematopoietic Stem Cells in Conditioned Medium – Aarhus University Hospital

Immunodeficient children are currently treated with allogenic hematopoietic stem cell (HSC) transplants, which introduce severe and potentially life-threatening complications that persist throughout their lifetime. This project aims to use the patient's own gene-edited HSC to circumvent the need for a stem cell donor, and mitigate the severe side effects associated with allogenic transplantation.

Nexus Headband – Rigshospitalet

Major depressive disorder (MDD) affects over 300,000 people in Denmark each year – about 10% of the population. Current first-line treatments, which include psychopharmacology and psychotherapeutics, are only effective for one-third of patients.  The Nexus headband leverages recent advances in neuroimaging and neuromodulation technology, aiming to bring effective and scalable neuromodulation therapies and objective health biomarkers to patients and clinicians.


ENACT - Hvidovre Hospital

Endoscopic evaluation of the severity of disease in ulcerative colitis patients is subjective, resulting in significant variance between doctors – and even between evaluations by the same doctor. ENACT is an AI-enabled system that analyses live video frames of endoscopic procedures, providing real-time classification scores of the disease severity with 89% accuracy. This improves the speed and certainty with which doctors can evaluate each case, enabling early intervention and optimised treatment.

BED Intervention

High, Medium and Low Intensity Interventions for Binge Eating Disorder – Region H

BED is a serious condition that affects up to 300,000 people in Denmark, and it's considered to be the most widespread eating disorder in the Western world. This project will conduct the largest BED treatment study to date – and the first to compare individual, group and technology-based psychotherapy interventions. The end goal is to develop four treatment manuals and establish their efficacy for various subgroups.

WARD-CSS International

WARD-CSS International – Rigshospitalet & Bispebjerg Hospital

Up to 30% of hospitalised patients experience severe complications that increase their risk of permanent injury and death. The current standard of manual NEWS-based monitoring processes places unnecessary demands on clinicians' time without improving outcomes. WARD-CSS saves time while providing 24/7 vital-sign monitoring that improves the standard of care – and makes patients feel safer.

Home AED

Home AED – Rigshospitalet

Each year, 5,000 people in Denmark suffer out-of-hospital cardiac arrest (OHCA) – 4,400 of them do not survive. While the number of registered AEDs in Denmark has increased over the past 20 years, only 8.7% of patients are defibrillated before an ambulance arrives. That's because most incidents happen at home, where an AED isn't available. This project aims to produce an affordable and easy-to-use AED specifically for use in private homes.

ProCVT Smart-Sheet

ProCVT Smart-Sheet – Aalborg University Hospital

Diabetes is on the rise, and with it, cardiac autonomic neuropathy (CAN) – a severe and possibly fatal manifestation of dysfunction of the autonomic nervous system. The ProCVT Smart-Sheet is a wireless ECG monitor intended for sleep recordings, which reduces the influence of external factors while helping clinicians to detect CAN and quantify the severity of dysautonomia.


trachAI – Rigshospitalet

Half of the 30,000 patients admitted to Danish ICUs each year require mechanical ventilation because they can’t breathe on their own. For patients who are expected to require mechanical ventilation for an extended period, a tracheostomy is often placed. trachAI uses performant explainable AI software to help physicians assess the likelihood that a patient will require mechanical ventilation for longer than a week.

Zeta Diagnostics

Identifying Eustachian Tube Dysfunction – Aarhus University Hospital

80% of surgically treated middle-ear pathologies are caused by Eustachian Tube Dysfunction (ETD), which is often diagnosed only after complications have developed. This new medical device facilitates quicker and easier diagnosis of ETD by streamlining the testing process and using an algorithm to interpret and summarize the data.

Novel DNA Analysis

Novel DNA Analysis for Transplantation Patients – Rigshospitalet

Organ transplants save many lives but the body can attack the foreign organ, resulting rejection. This project uses organ-derived cfDNA to directly measure organ damage, which the team hopes will help to predict organ rejection much earlier and with higher precision than other known markers – enabling better optimisation of immunosuppressive therapy.

Automatic Dose Planning

Automatic Dose Planning – Aarhus University Hospital

This automatic dose-planning solution consists of software-driven, site-specific ‘treatment templates’ that automate a large part of the standard radiotherapy planning process associated with cancer treatment. This frees up time and resources, enabling treatment planners to focus on particularly challenging cases.


EchoVice – Odense University Hospital

Involuntary muscular activity causes repeated displacement of ultrasound probes during percutaneous heart valve procedures, causing stress and poor ergonomics for cardiologists and prolonged anesthetic exposure for patients. EchoVice essentially acts as a 'third hand' to stabilise the probe during these procedures.


HearWalk – Regionshospital Nordjylland

Gait training is a fact of life for many patients with orthopedic or neurological conditions, but it's often tedious. HearWalk captures and synthesises motion-related data into real-time feedback that’s communicated via auditory stimuli, which has been shown to increase focus and improve patient compliance.

Novel Energy Harvester Technology

Novel Energy Harvester Technology (NEST) – Aalborg University Hospital

The Novel Energy Harvester System Technology for Self-Powering Intracardiac Pacemakers (NEST) creates a new generation of pacemakers that charge themselves through 'motion energy' every time the heart muscle moves.

AR-Assisted Surgery

AR-Assisted Surgery – Aarhus University Hospital

New technology can enable surgeons to visualise complex anatomical structures while preparing for surgery. This project aims to bring 3D technology to clinicians who can benefit from a 3D representation of certain anatomy.


Solnedgangkassen (Palliative Care Box) – Aalborg University Hospital

The Solnedgangkassen is designed to enable more patients to receive palliative care at home instead of in hospital. The box contains a standardized assortment of the necessary medicine, instructions and information to help caregivers provide a high standard of in-home care for patients in the late-terminal phase.

Pathology AI

Pathology AI - Rigshospitalet

Pathology AI aims to address the future shortage of pathologists by simplifying and speeding up the diagnostic process using digital image analysis. In this project, machine vision observes the same area as the pathologist, accumulating 'experience' based on the pathologist’s input. 


TOLAC App – Hvidovre Hospital

The TOLAC App uses data-driven software to mine these extensive datasets and create personalised risk profiles for women in specific clinical situations to better predict the probability of a successful vaginal birth after a prior caesarean delivery.

fMRI Fingerprint

fMRI Fingerprint - Rigshospitalet

The fMRI fingerprint is an optical fiber technology that allows electrostimulation during fMRI scans. This tool help will help clinicians predict the patient’s response to expensive therapies.


DoseTracker – Aarhus University Hospital

DoseTracker is a real-time software-enabled tool that monitors the dose of radiation given to moving anatomy during cancer treatments. It calculates and compares the administered radiation dose with the planned dose and provides a complete overview of clinically relevant metrics to help clinicians make informed decisions.


Evido - Odense University Hospital

One in four people has fatty liver disease without knowing it – and this condition can be asymptomatic for fifteen to thirty years. Evido’s algorithm-based solution can detect advanced fatty liver disease with 87% accuracy based on a series of standard blood samples that are already widely used in primary care today. 


Dermloop – Herlev and Gentofte University Hospital

Dermloop offers AI-augmented training, clinical feedback, and management of skin lesions suspicious for cancer. With approximately 400,000 skin-related referrals in Denmark each year, this improved diagnostic flow stands to significantly reduce societal costs while ensuring that almost all skin cancers are diagnosed and treated with minimal delay.  

Real-Time Surgical Data

Real-Time Surgical Data - Rigshospitalet

An upwards of 15% of surgical or injured patients experience avoidable complications, such as infections, thrombosis events or organ failure. This project uses AI-enabled analysis of real-time data (e.g. chart notes, lab results, vital-sign registrations) for individual patients to predict 18 different post-surgical complications.


+priokritisk – Region Hospital Horsens

Clinical deterioration is a frequent and unfortunate occurrence among hospital patients. +priokritisk is software that uses a model based on explainable (xAI) to analyse selected parameters from patients' electronic medical records (EMRs) to predict those who are at risk of developing sepsis.

Mitigate - Rigshospitalet

Acute hospitalisation requires a special effort to involve patients in their own treatment and ensure that they're aware of their disease's progression – or the development of new symptoms requiring attention. This project aims to improve intervention after acute myocardial infarction by introducing home-monitoring and other support for patients who have undergone highly specialised cardiac treatment and who will continue rehabilitation.

Root of the Outbreak

Root of the Outbreak  - Rigshospitalet 

Today, only a very limited subset of antibiotic-resistant bacteria is sequenced. Hence, we only see the tip of the iceberg when it comes to bacterial outbreaks as there is also definite transmission with fully antibiotic-susceptible bacteria. This project aims to change that by sequencing a larger range of bacteria than is done today.