Open Call HORIZON-HLTH-2021-TOOL-06-01: Smart Medical Devices and their Surgical Implantation for Use in Resource-Constrained Settings

European CommissionThis topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination 5 "Unlocking the full potential of new tools, technologies and digital solutions for a healthy society". To that end, proposals under this topic should aim for delivering results that are directed, tailored towards and contributing to all of the following expected outcomes.
  • Medical device developers provide sustainable and affordable smart active implants validated in the operational environment.
  • Medical professionals in resource-constrained clinical settings use sustainable and affordable surgical procedures for smart active implants.
  • Patients have access to sustainable and affordable smart medical devices suitable for minimally invasive surgical implantation through further clinical studies.

Scope

"Smart" technologies, i.e. micro-electronic sensor/actuator systems provide novel functionalities to surgically-implanted active medical devices. "Smart" active implants involve microelectronic components and are placed inside the body of the patient to achieve the desired physiological response. They open up therapeutic avenues for a wide range of medical handicaps, complex chronic conditions and lesions, thanks to their integrated diagnostic capabilities, and may help addressing hitherto unmet medical needs. Challenges involved in the development of these devices include but are not limited to miniaturization, sensor robustness, wireless power supply, etc. Such devices require specific surgical implantation procedures, dependant on the type of device and on the intended use, with the successful surgical implantation and activation of such smart medical implants, being crucial steps for their functioning. The device targeted and its intended use is open for applicants to choose (e.g. orthopaedic, neural, cardiovascular, metabolic, etc.), but should at the start of the proposed work be at a TRL of minimum four and will necessitate appropriate tailored surgical procedures and interventions. Surgical conditions account for approximately 30% of the global burden of disease and have a huge social and economic impact. However, of the 300 million surgical interventions undertaken globally every year only around 6% occur in low-income countries, where a third of the world’s population lives. There is therefore a strong need for high-quality, affordable surgical interventions for implanting "smart" active medical devices suitable for resource-limited or -constrained clinical settings. Resource-constrained settings are clinical environments that are affected by limitations such as lack of medical staff, scarcity of medical equipment or medicines supply, etc. To address this gap, the sustainability of both the medical device and the applied surgical intervention, including the necessary equipment and operating skills, are essential elements. Implantation procedures should be fully compatible with resource-constrained environments and minimally invasive approaches should be favoured. Hence, research and innovation activities should comprise medical device design, regulatory work, clinical stages and developmental iterations, reaching a TRL of at least seven, and involve key medical specialists (e.g. surgeons) and/or other health care professionals, developers, patients and relevant regulatory bodies as appropriate. The work proposed should take into account the new EU legal framework on medical devices with the targeted implants meeting all the essential requirements as defined therein.

Opening date: 22 June 2021

Deadline: 21 September 2021 17:00:00 Brussels time

Deadline Model: single-stage

Type of action: HORIZON-IA HORIZON Innovation Actions

For topic conditions, documents and submission service, please visit:
https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-hlth-2021-tool-06-01

Most Popular Now

AI Helps Physicians Better Assess the Ef…

In a small but multi-institutional study, an artificial intelligence (AI)-based system improved providers' assessments of whether patients with bladder cancer had complete response to chemotherapy before a radical cystectomy (bladder...

AI may Detect Earliest Signs of Pancreat…

An artificial intelligence (AI) tool developed by Cedars-Sinai investigators accurately predicted who would develop pancreatic cancer based on what their CT scan images looked like years prior to being diagnosed...

Smartwatches and Fitness Bands Reveal In…

A new digital health study by researchers at Scripps Research shows how data from wearable sensors, such as smartwatches and fitness bands, can track a person’s physiological response to the...

Open Call U4H-2022-PJ2: Call for Proposa…

The Ukraine crisis has an unprecedented impact on the mental health of the displaced people in the EU coming from Ukraine. The conflict and experiences of people in war zones...

Medical Valley EMN & Volitan Global …

The two healthcare innovation experts Medical Valley EMN and Volitan Global strengthen their existing inbound- and outbound activities through a strategic partnership. The aim is to offer companies access to...

AI Reduces Miss Rate of Precancerous Pol…

Artificial intelligence reduced by twofold the rate at which precancerous polyps were missed in colorectal cancer screening, reported a team of international researchers led by Mayo Clinic. The study is...

DMEA - Connecting Digital Health Opens w…

26 - 28 April 2022, Berlin, Germany. What plans does the new federal government have concerning the digital transformation of the healthcare sector? What are the initial experiences of doctors regarding...

AI can Predict Probability of COVID-19 v…

Testing shortages, long waits for results, and an over-taxed health care system have made headlines throughout the COVID-19 pandemic. These issues can be further exacerbated in small or rural communities...

Using AI to Detect Cancer from Patient D…

A new way of using artificial intelligence to predict cancer from patient data without putting personal information at risk has been developed by a team including University of Leeds medical...

Oulu University Hospital Expands Partner…

Siemens Healthineers and Oulu University Hospital in Finland have entered a strategic partnership for the next ten years, adding to an existing radiotherapy collaboration to jointly expand and modernize the...

Positive Conclusion to DMEA - Connecting…

26 - 28 April 2022, Berlin, Germany. After three days DMEA, Europe's leading digital health event, came to a successful conclusion - with around 11,000 visitors, more than 500 exhibitors and...

AI-Enabled ECGs may Identify Patients at…

Atrial fibrillation, the most common cardiac rhythm abnormality, has been linked to one-third of ischemic strokes, the most common type of stroke. But atrial fibrillation is underdiagnosed, partly because many...