TechMed mobilises forces to support hospitals

Antimicrobial surfaces in the healthcare setting

Global threat of antimicrobial resistance is calling out urgently for novel antimicrobial strategies. Current technologies rely mostly on biocides which in the long-run are prone to antimicrobial resistance. Novel solutions to reduce spreading of infections and surface contamination must urgently reach out to the healthcare sector. Micro- and nano-structured surfaces represent a promising solution. However, there is no clear strategy for applying these in medical care. That is why we want to research new materials with antibiotic properties applied to metal medical implants.

Dr. Arturo Susarrey-Arce (UT), Drs. Laura Vargas (UT), Prof. dr. Han Gardeniers (UT), Prof. dr. Martin Bennink (Saxion), Dr. Jorm Nellensteijn (MST), Dr. Gerard Linssen (ZGT), Dr. Wiebe Verra (MST), Dr. Maarten Schijffelen (MST)

Preoperative 3D planning and printing for anterior closing-wedge osteotomy after ACL rupture for posterior tibial slope CORRECTion: 3D-CORRECT

Young sports people frequently tear their anterior cruciate ligament (ACL), requiring ACL reconstruction. However, ACL re-rupture often occurs, and most patients suffer from posttraumatic osteoarthritis (OA). Among the causes of re-rupture and post traumatic OA there is knee instability, caused by excessive tibial slope. Surgical tibial slope correction can be done before ACL reconstruction, but the optimal slope may differ for every patient. Therefore, depending on anatomy, the current study aims at applying a patient specific musculoskeletal model to surgically plan the optimal slope correction. which could be achieved safely and more accurately by means of 3D printed cutting guides.

Dr. ir. Marco Marra (UT), Femke Schröder MSc (OCON), MD Roy Hoogeslag (OCON)

Balancing unicompartmental knee arthroplasty: Development of a 3D printed feeler gauge with embedded pressure sensor.

Unicompartmental knee arthroplasty is an effective treatment for isolated medial osteoarthritis of the knee. During surgery, the joint surfaces are replaced by two metal components, and a plastic insert with a variable thickness is inserted into the joint space. The orthopedic surgeon uses a feeler gauge to evaluate whether this space is not too tight or too loose.

he aim of this feasibility study is to develop a 3D-printed feeler gauge with an inbuilt pressure sensor that enables a more accurate placement of the prosthesis. This may result in better clinical outcomes, longer survival of the prosthesis, and fewer complications.

Dr. Hans-Peter van Jonbergen (DZ), Prof. dr. ir. Gijs Krijnen (UT)

Healing wounds using phototherapy

Chronic wounds - that do not heal in months or even years - represents a major medical challenge because of traumatic injuries, the rising prevalence of chronic wounds such as diabetic ulcers and aging populations with diminished wound healing ability. Current treatment options involve different types of dressings that mainly protect the wound from pathogenic infections. However, these strategies are insufficient and rely on slow and passive healing processes. In this project, we are initiating a collaboration between the UT, MST and ZGT to validate phototherapy using a hand-held device for the treatment of wounds at the hospitals or home.

Dr. Ruchi Bansal (UT), Dr. Robbert Meerwaldt (MST), Dr. Marieke Haalboom (MST), Dr. Sjef van Baal (ZGT), Dr. Rombout Kruse (ZGT), Drs. Harm Jaap Smit (iCap BV)

PRedicting Efficacy of neuromoDulation in epilepsY wIth ConTinuous EEG: PREDYCT

In patients with epilepsy who cannot be treated with medication, neuromodulation (vagus nerve or deep brain stimulation) can significantly reduce the seizure frequency. However, approximately 30-40% of patients who receive this treatment do not report any benefit. This is not only disappointing for the patient, but also associated with significant healthcare costs (€ 25.000 per patient). We aim to identify patients who will and who will not benefit from neuromodulation by long-term (2-4 months) measurement of brain function using a minimal invasive subcutaneous electrode. Using machine learning (AI), we aim to identify EEG biomarkers to predict effectiveness of neuromodulation.

Prof. dr. ir. Michel van Putten (UT), Kuan Kho MD (MST), Dr. Marleen Tjepkema (MST)

Assessment of the microcirculation using Photoacoustic Imaging in patients with Peripheral Arterial Occlusive Disease

End stage Peripheral Arterial Occlusive Disease (PAOD) leads to severe claudication and tissue loss at the foot. Here the loss of macro- and microcirculation plays a major role. To prevent tissue loss, patients are preferably revascularized endovascularly under fluoroscopy. The macrocirculation can be well assessed under fluoroscopy. A major shortcoming is the assessment of the microcirculation. To enable peroperative assessment of the microcirculation, we want to study and optimize the Cyberdyne Acoustic X photoacoustic system and assess if this system can quantify the microcirculation.

Prof. dr. Bob Geelkerken (MST), Prof. dr. ir. Wiendelt Steenbergen (UT), Bryan Wermelink MSc (UT), Dr. Sjef van Baal (ZGT), Dr. Robbert Meerwaldt (MST), Dr. Marjolein Brusse-Keizer (MST), dr. Mithun Kuniyil Ajith Singh (Cyberdyne Inc)

PReferral

Of all Dutch adults, 1 in 5 has musculoskeletal pain. More than 50% of these people have limited functioning. Experienced disease burden can be reduced by starting an appropriate treatment as early as possible. However, it appears that more than 30% of the patients are referred back to the general practitioner (GP) with a rereferral to somewhere else. This results in an inefficient care path. The objective of this project is to optimize existing care pathways and referrals in 1st, 2nd and 3rd care based on artificial intelligence, leading to a proof-of-concept decision support system for the GP and paramedic.

Dr.ir. Wendy Oude Nijeweme - d'Hollosy (UT), Dr. Gert-Jan Prosman (UT), Dr. Annemieke Konijnendijk (UT), Dr. Mannes Poel (UT), Dr. Remko Soer (Saxion), Drs. Jose Broeks (ZGT), Dr. N.P. Monteiro de Oliveira (ZGT), Prof. dr. Miriam Vollenbroek-Hutten (ZGT)

Data science and OR scheduling: the perfect fit

The operating room (OR) schedule significantly impacts the performance of the OR and many interrelated departments. A critical component in OR scheduling is predicting surgery durations. These predictions are frequently incorrect, causing expensive OR idle time, OR overtime, and surgery cancellations. We plan to leverage recent advancements in machine learning to develop a model that generates accurate predictions of surgery duration. Subsequently, we will develop an algorithm that automatically generates optimal OR schedules – a process that is currently mainly done manually. Our algorithm will shorten patient wait times and waitlists, reduce workload, and result in smoother OR programs.

Dr.ir. Aleida Braaksma (UT), Dr. Marloes Vermeer (ZGT), Marijn Hoek (ZGT), Drs. Johan Raymakers (ZGT), Prof. dr. Richard Boucherie (UT)

Is The Chemo Working 2.0: Continuous tumor response evaluation with a liquid biopsy-based lab-on-a-chip system

Chemotherapy is an expensive therapy that places a high burden on the patient. Currently, the patient response to therapy is monitored by imaging techniques. These methods are slow and do not always give clear and accurate information. In contrast, liquid biopsies can provide more accurate information in a shorter period of time. By measuring specific biomarkers in blood, the status of a patient can be evaluated quickly, and more frequently. This approach also fully supports the concept of personalized medicine by facilitating the identification of patient-specific biomarkers. The novel technology discussed here uses nano-electrodes to detect tumorspecific biomarkers in blood with unprecedented accuracy.

Prof. Séverine Le Gac (UT), Dr. Alex Imholz (DZ), Prof. dr. ir. Wilfred van der Wiel (UT)

Real-time Identification of the Source of Exacerbation

COPD is predicted to become the third leading cause of death in 2030. COPD patients often endure exacerbations. Although the cause of exacerbations is bacterial in nature in only 20% of cases, 80% of patients receive antibiotics as part of the treatment. The reason for this discrepancy is the dependence of diagnostics tools on culturing the bacteria, which can take up to five days. The proposed technology is composed of an integrated system for the electrochemical detection of individual bacteria and for predicting each patient’s response to antibiotics. This allows to take a proper decision directly.

Prof. dr. ir. Wilfred van der Wiel (UT), Dr. Paul van der Valk (MST), Dr. Wendy van Beurden (MST), Drs. Hans Timmer (ZGT), Prof. dr. ir. Séverine Le Gac (UT), Dr. Marjolein Brusse-Keizer (MST), Drs. Rob Klont (MST and LabMicTA)