Lars Knaack/INM
OptoAssays: New light-controlled tests simplify cost-effective diagnostics
04.10.2024
A team of researchers from the University of Freiburg and the INM - Leibniz Institute for New Materials has developed a bio-based test procedure that can diagnose complex diseases simply and cheaply. These “OptoAssays” use light control to move biomolecules and read out results without mechanical support - with potential applications in on-site diagnostics.
Gustavo Raskosky
Superhydrophobic device to model tumor progression
20.09.2024
Rice University bioengineers have harnessed the lotus leaf's unique properties to create a cutting-edge platform for culturing cancer cell clusters. This system offers a new approach to studying tumor progression and metastasis, providing essential insights into cancer biology and treatment.
Shichao Ding
Sweat-powered finger wrap enables continuous health monitoring
19.09.2024
Engineers at the University of California San Diego have developed a sweat-powered finger wrap that monitors vital health biomarkers such as glucose, lactate, vitamin C, and levodopa. This wearable device utilizes sweat from the wearer’s fingertip for both power and health monitoring, making it a convenient and non-invasive tool for personalized health tracking.
Real-time monitoring for better health: Smart sensors in use
17.09.2024
Real-time medical monitoring using modern sensors is fundamentally changing patient care. With the ability to continuously and precisely measure vital signs, these technologies enable close monitoring and contribute to the early detection of health problems.
Markus Fischer/Paul Scherrer Institute PSI
AI for the precise characterization of breast cancer stages
22.08.2024
A new study by the Paul Scherrer Institute (PSI) and the Massachusetts Institute of Technology (MIT) shows how artificial intelligence (AI) can improve the categorisation of breast cancer stages.
AI-based wearable for early detection and prevention of deep vein thrombosis
13.08.2024
The VDE is participating in the EU project ThrombUS+, which aims to improve risk assessment and prevention of deep vein thrombosis with a portable vein analyzer and an AI-based diagnostic device. In an interview with MEDICA-tradefair.com, Dr. Thorsten Prinz describes the three-and-a-half-year project.
Khan Lab at USC Viterbi School of Engineering
Smart pills with AI: Advancing gastrointestinal health monitoring
09.08.2024
Researchers at the USC Viterbi School of Engineering have developed advanced ingestible sensors that utilize AI and wearable electronics to provide real-time 3D monitoring of gastrointestinal health. These innovative smart pills can detect stomach gases and track their location within the body, offering potential for early disease detection.
lakobchuk
Mammography: Transpara supports early breast cancer detection with AI
02.07.2024
The introduction of artificial intelligence (AI) into medical diagnostics has brought about transformative changes, particularly in the early detection of breast cancer. One innovative solution: Transpara.
Portable diagnostic device for early detection of deep vein thrombosis
19.06.2024
A new EU-funded project called ThrombUS+ aims to detect vein thrombosis at an early stage. Vein thrombosis poses a significant health risk, often occurring without symptoms and potentially leading to life-threatening pulmonary embolisms. The project is developing a portable solution that enables continuous monitoring and immediate detection.
Determined
A sugar analysis could reveal different types of cancer
22.12.2023
In the future, a little saliva may be enough to detect an incipient cancer. Researchers at the University of Gothenburg have developed an effective way to interpret the changes in sugar molecules that occur in cancer cells.
astakhovyaroslav
AI can identify women with high risk of breast cancer screenings
13.12.2023
The use of AI makes it possible for women with a high risk of breast cancer to be identified in mammography screening examinations so that the cancer can be caught earlier. An international research group led from Karolinska Institutet in Sweden can now show that the method is effective in different European countries.
svitlanah
3-Tesla MRI Scanner: A Glimpse into the Future of Medical Technology
31.10.2023
With novel technology and the integration of artificial intelligence, a new MRI scanner promises to significantly improve medical imaging. The scanner is characterized by its high performance and enables a more precise analysis of image data by means of an AI functionality.
paegagz
Algorithm to predict disease relapses
29.09.2023
A University of Texas at Arlington research team has received a $450,000 grant from the National Institute of General Medical Sciences to use statistical machine learning to review patient data and better predict which patients will need additional treatments.
svitlanah
New blood marker can identify parkinsonian diseases
20.09.2023
Is it possible that a single biomarker can detect all types of diseases related to dopamine deficiency in the brain? Yes, that's what a research group in Lund is discovering.
Karolinska Institutet
Breast cancer: more cases detected with the help of AI
15.09.2023
One radiologist supported by AI detected more cases of breast cancer in screening mammography than two radiologists working together, reports the ScreenTrustCAD study from Karolinska Institutet in The Lancet Digital Health.
wirestock
Premature infants: early detection of vascular disease
14.09.2023
Dr. Anne Hilgendorff’s team from Helmholtz Munich and the LMU University Hospital developed a non-invasive method with no need for sedation using MR imaging to detect early signs of vascular disease associated with chronic pulmonary impairment in premature infants, offering new avenues for risk stratification and potential prevention of complications later in life.
ThamKC
AI-powered triage platform could aid future viral outbreak response
12.09.2023
A team of researchers from Yale University and other institutions globally has developed an innovative patient triage platform powered by artificial intelligence (AI) that the researchers say is capable of predicting patient disease severity and length of hospitalization during a viral outbreak.
Dt. Leberstiftung
Predicting severe liver disease with simple tools
08.09.2023
A European consortium with the participation of the MHH is developing a new tool to determine the individual risk of liver fibrosis and liver cancer.
Axel Kirchhof | UKE
Modifiable risk factors responsible for half of cardiovascular diseases
07.09.2023
Scientists of the Global Cardiovascular Risk Consortium have proven that the five classic cardiovascular risk factors overweight, high blood pressure, high cholesterol, smoking, and diabetes mellitus are directly connected to more than half of all cardiovascular diseases worldwide.
YuriArcursPeopleimages
AI could shorten the diagnostic journey of millions suffering from endometriosis
16.08.2023
The quality of life of millions suffering from endometriosis – a painful disease where sensitive tissue grows outside of the uterus – could be improved by a new artificial intelligence (AI) system with technology developed by the University of Adelaide in South Australia, in partnership with researchers from the University of Surrey.
Karin Kaiser / MHH
REM sleep study: new ways of early Parkinson's therapy
15.08.2023
Disturbed dream sleep may indicate later Parkinson's disease. Researchers at MHH Neurology are now investigating the preliminary phase of the neurodegenerative disease and are offering places for study participants.
monkeybusiness
Into the hospital of the future: data, digitization and artificial intelligence
18.07.2023
Artificial intelligence (AI) and its use is on everyone's lips right now. How AI will change and shape our future is being hotly debated. AI applications are also trending in healthcare. But before they can deliver on their huge expectations, the basics have to be met.
Fraunhofer IZM
Pregnancy: intelligent patch for remote monitoring
03.07.2023
A patch equipped with highly sensitive electronics is meant to collect and evaluate vital data. In addition, the sensors will be integrated into baby clothing in order to improve the future of medical monitoring for newborns with the highest level of data security.
University Hospital of Bonn (UKB)
Metastatic renal cell carcinoma: improved prediction of therapy response
29.06.2023
The study demonstrates a significant improvement in predicting the response to therapy in metastatic renal cell carcinoma by incorporating the level of inflammation, which was assessed using two straightforward blood parameters, alongside the conventional imaging-based approach.
lucigerma
Atrial fibrillation: supermarket trolleys set to help diagnosis
29.06.2023
It could be the shopping trip that saves your life: supermarket trolleys are helping to diagnose atrial fibrillation which can then be treated to prevent disabling or fatal strokes.
tommyandone
Heart failure: AI identifies five subtypes
01.06.2023
Five subtypes of heart failure that could potentially be used to predict future risk for individual patients have been identified in a new study led by UCL (University College London) researchers.
European Cooperation in Science and Technology
Imaging chronic kidney disease
12.05.2023
Magnetic Resonance Imaging (MRI) has shown a high potential to distinguish biomarkers for CKD, but renal MRI biomarkers are currently underused in research and clinical practice.
Manuta
Big Data: predictive model for complications in diabetes
01.05.2023
For their research, the team led by Rainer Oberbauer, Head of the Division of Nephrology and Dialysis at MedUni Vienna's Department of Medicine III, and Mariella Gregorich from MedUni Vienna's Center for Medical Data Science drew on data from major international studies.
AnnaStills
Type 2 diabetes: risk displayed in early pregnancy blood samples
27.04.2023
Researchers from the University of Turku discovered that women who developed prediabetes after pregnancy had aberrations already in their early pregnancy blood serum metabolomic profile.
microgen
Computer-assisted procedure classifies Ataxia-related speech disturbances
25.04.2023
Researchers at DZNE and the University Hospital Bonn, together with the Berlin-based company PeakProfiling GmbH, have developed a computer-assisted method that recognizes the severity of speech disturbances resulting from ataxia, a brain disease, with great accuracy.
olgaseleznovaphoto
FALCO project: Comprehensive glaucoma prevention thanks to low-cost screening system
20.04.2023
Glaucoma is wicked, because the disease often goes undetected until irreversible damage of the optic nerve has occurred. This makes regular eye exams even more important. Optical coherence tomography (OCT) is an imaging method that facilitates an early diagnosis. However, traditional OCT machines are very expensive. That’s why the FALCO project aims to develop a more cost-effective system.
Shutterstock.com/Marina Demidiuk
App for AI-assisted detection of monkeypox skin lesions
07.04.2023
A paper produced as part of the DAKI-FWS project (data and AI-supported early warning system to stabilize the German economy) will be featured in the prestigious journal Nature Medicine.
ONWARD Medical NV
PANDORA test could pave the way for better oral cancer detection
06.04.2023
Surrey scientists have developed a proof-of-concept test called PANDORA that was shown to be over 92% accurate at identifying patients with oral squamous cell carcinoma (OSCC). The test was also shown to be more than 80% accurate at identifying patients with pre-cancer or oral epithelial dysplasia (OED).
Kingston University
Medication adherence tool predicts hospital admissions of Type 2 Diabetes patients
28.03.2023
A pioneering behavioural diagnostic tool developed by Kingston University, London and healthcare technology company Observia to help patients take their medication as prescribed is the first holistic model in the world to accurately predict hospital admissions and readmissions in people living with Type 2 Diabetes, according to a new study.
Natabuena
Ultrasound method could lead to easier disease diagnosis in body tissue
17.03.2023
A new ultrasound method that can measure the level of tension in human tissue for the first time - a key indicator of disease - has been developed by researchers from the University of Sheffield.
Rawpixel
Bracelet sensor assesses troponin levels to aid heart attack diagnosis
13.03.2023
An experimental wrist-worn device was found to predict troponin-I and obstructed arteries with 90% accuracy in five minutes, according to research.
Bielefeld University/Sarah Jonek
Predicting outbreak of ALS disease with AI methods
08.03.2023
Using artificial intelligence (AI) methods, researchers led by Professor Dr Alexander Schönhuth from Bielefeld University’s Faculty of Technology have succeeded in recording and deciphering the genotype profiles of 3,000 ALS patients and thus learning more about the development of the disease.
microgen
Poor balance may indicate changes in brain volume
06.03.2023
In a study recently published in Gait & Posture, researchers from the University of Tsukuba have revealed that the volume of the hippocampus is correlated with a measure of balance ability in healthy older people.
FBH/P. Immerz
Entangled photon pairs to help fighting cancer
06.03.2023
The recently launched QEED project aims to significantly reduce measurement time in clinical cancer diagnostics by developing a spectrally resolved imaging technique based on entangled photon pairs. FBH scientists will develop the required diode lasers and quantum light modules.
Thor Balkhed/Linköping University
Adverse muscle composition associated with increased mortality risk in people with fatty liver disease
01.03.2023
Obesity and a sedentary lifestyle contribute to an increasing number of people developing fatty liver disease. There is a need for early detection of individuals at risk of developing sequelae.
LightFieldStudios
Balance ability predicts cognitive impairment
28.02.2023
In a study recently published in BMC Geriatrics, researchers from the University of Tsukuba have revealed a new measure of physical balance that could help to identify individuals who are at risk of developing Alzheimer's disease (AD).
Häggmark et al., 2023
Early-stage lung disease could be detected with advanced imaging tech
24.02.2023
An imaging process that today is used mainly in research labs could potentially detect early-stage lung disease if developed for use in hospitals and clinics, a new research study shows.
HAWK
Imaging: role of immune cells in early diabetic cataract development
22.02.2023
The team of researchers, led by Prof. Dr. Ali Hafezi-Moghadam, Director of the Molecular Biomarkers Nano-Imaging Laboratory (MBNI), in collaboration with Professor Dr. Christoph Rußmann, Dean of the Health Campus and a Visiting Professor at MBNI, found early signs of damage in the eye before the onset of type 2 diabetes.
University of Gothenburg
AI supports doctors’ hard decisions on cardiac arrest
21.02.2023
Researchers at the University of Gothenburg have developed three such systems of decision support for cardiac arrest that may, in the future, make a major difference to doctors’ work.
EPO
Low brain pressure could be a risk factor for developing glaucoma
20.02.2023
An international team of researchers led by Lithuanian scientists provide additional evidence that intracranial pressure plays an important role in normal-tension glaucoma, which accounts for up to 50 per cent of all glaucoma cases.
Kaunas University of Technology (KTU)
Altered speech may be the first sign of Parkinson’s disease
31.01.2023
Lithuanian researcher from Kaunas University of Technology (KTU), Rytis Maskeliūnas, together with colleagues from the Lithuanian University of Health Sciences (LSMU), tried to identify early symptoms of Parkinson’s disease using voice data.
DragonImages
All-round care: digital services during pregnancy
16.01.2023
Digital services relating to pregnancy are still far from commonplace in Germany. Yet their usefulness is beyond question. Of course, they should not replace the midwife or the visit to the doctor. But in our Topic of the Month, you can find out just how diverse the possibilities of digitization can be during the time between a positive pregnancy test and birth.
dolgachov
Type 2 diabetes: Machine learning can predict poor glycemic control from patient information systems
13.01.2023
The risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study from Finland finds.
Aalto University
Gaining unprecedented view of small molecules by machine learning
06.01.2023
A new tool to identify small molecules offers benefits for diagnostics, drug discovery and fundamental research. A new machine learning model will help scientists identify small molecules, with applications in medicine, drug discovery and environmental chemistry.
Tuomas Svärd, Antti-Jussi Haapala, Jukka Kortelainen
Cerenion: AI software improves brain monitoring
27.09.2022
Intensive care patients need to be monitored closely in all areas. For a better overview of the brain functions, Cerenion developed software called C-Trend. With artificial intelligence, the care for intensive care patients can be significantly improved.
Susanne Vondenbusch-Teetz, MPI for Biochemistry
Deep Visual Proteomics: tracking down cancer
08.09.2022
Proteins are frequently called the building blocks of life because they are found everywhere, including in our cells. This makes them an important factor when it comes to diseases. As a result, mapping the protein landscape can be a crucial ally in the fight against diseases. Now, a German-Danish team has developed a method that provides researchers with unprecedented insights into cancer.
MediBioSense
MediBioSense: Real-time patient monitoring
01.09.2022
Medical wearables become more and more sophisticated. By now, they are not only able to record vital signs. With the Vital Connect Patch, MediBioSense is offering a wearable that can be used for real-time monitoring of patients.
microgen@gmail.com
Digital nose facilitates early detection and diagnosis
22.06.2022
Many diseases can be treated successfully if they are diagnosed early. Research into a “digital (electronic) nose” is one promising development to facilitate early detection and diagnosis. That’s because body odors and their molecular composition are an early indicator of various diseases that often remain undetected in the early stages.
Affair of the heart: MRI – Detecting coronary heart disease hazard patterns
03.02.2022
The University Hospital Düsseldorf is researching a new method of heart imaging in the MRI: It can detect the early formation of coronary heart disease and show associated lesions before they cause any symptoms. A contrast agent containing fluorine atoms is used for this. We learn more about this method in the video interview with Prof. Ulrich Flögel and Dr. Florian Bönner.
Duke-NUS Medical School
COVID-19 saliva Amplified Antigen Rapid Test is as sensitive as PCR test
09.12.2021
A potentially game-changing Antigen Rapid Test (ART) technology to diagnose COVID-19 has been developed by scientists in Singapore. Using a proprietary on-kit amplification technique, a person's saliva can be self-administered or tested for the SARS-CoV-2 virus.
PantherMedia / Robert Przybysz
Deep Learning: How artificial neural networks can support diagnostics
03.12.2021
The use of artificial intelligence and deep learning in medical diagnostics is growing rapidly. Ubotica’s neural network is based on deep learning and detects the presence of diabetic retinopathy in retinal images. Dr. Holger Pfeifer talks about the project successes, and reveals the obstacles researchers must continue to overcome in adopting deep learning systems.
Karin Kaiser/MHH
Prevention of cervical cancer with HPV self-testing
28.10.2021
Cervical cancer is one of the most common diseases of the female reproductive organs. Human papilloma viruses are almost always responsible for cervical cancer and the corresponding precancerous lesions. As part of the statutory preventive medical check-up, women from the age of 20 can have a cell smear taken from the cervix once a year, the so-called Pap test, to detect cell changes.
MIT
Carbon nanotube-based sensor can detect SARS-CoV-2 proteins
26.10.2021
Using specialized carbon nanotubes, MIT engineers have designed a novel sensor that can detect SARS-CoV-2 without any antibodies, giving a result within minutes. Their new sensor is based on technology that can quickly generate rapid and accurate diagnostics, not just for Covid-19 but for future pandemics, the researchers say.
More than trendy accessories: training optimization with the help of wearables
01.09.2021
Wearables are increasingly being used in sports medicine, for example, to prevent injuries or to provide users individually with real-time data about their fitness and health. By analyzing this data, risks for sports injuries can be identified early and training can be customized to the user's needs and goals.
Nature Biomedical Engineering
Soft skin patch could provide early warning for strokes, heart attacks
23.07.2021
Engineers at the University of California San Diego developed a soft and stretchy ultrasound patch that can be worn on the skin to monitor blood flow through major arteries and veins deep inside a person's body.
St Vincent's Hospital Melbourne
New AI tech for early detection of prostate cancer
16.07.2021
Prostate cancer is the most diagnosed cancer and a leading cause of death by cancer in Australian men. Early detection is key to successful treatment, but men often dodge the doctor, avoiding diagnosis tests until it is too late.
Williamson Adams
Detecting atrial fibrillation early with mobile rhythm patch
08.04.2021
According to a study, a mobile rhythm patch can help detect and prevent strokes. In this interview with MEDICA, co-study leader Prof. Rolf Wachter explains how the mobile rhythm patch works and which insights the study results provide for the future.
PantherMedia/Med_Photo_Studio
Alzheimer's disease: early detection using an eye exam
22.03.2021
Alzheimer's disease is still incurable, but if detected early enough, countermeasures can improve treatment and slow the progression. Unfortunately, there is still no reliable early detection test at this juncture. This might soon change thanks to a non-invasive spectroscopy of the retina.
Evercot AI GmbH
Good connection: AI and EEG work hand in hand
17.02.2021
Artificial intelligences (AI) are able to help medical professionals detect diseases. This is based on medical data records from which the AI can draw conclusions about diseases. These conclusions are most accurate when the extraction of the data sets is directly linked to the processing.
Wang lab/UC San Diego
Wearables: skin patch as an all-in-one health monitor
17.02.2021
Engineers at the University of California San Diego have developed a soft, stretchy skin patch that can be worn on the neck to continuously track blood pressure and heart rate while measuring the wearer's levels of glucose as well as lactate, alcohol or caffeine. It is the first wearable device that monitors cardiovascular signals and multiple biochemical levels in the human body at the same time.
PantherMedia/DraginImages
Wearables can detect COVID-19 symptoms and predict diagnosis
09.02.2021
Wearable devices can identify COVID-19 cases earlier than traditional diagnostic methods and can help track and improve management of the disease, Mount Sinai researchers report in one of the first studies on the topic. The findings were published in Journal of Medical Internet Research.
VitalSky: how an artificial sky improves ICU patient recovery
03.08.2020
Delirium occurs in 30 to 80 percent of patients in intensive care units. This cerebral impairment not only causes mental confusion and emotional disruption but also drastically increases the mortality risk of patients. A controlled circadian rhythm and sleep/wake cycle is the prerequisite for delirium prevention. This is where the new VitalMinds concept from Philips comes in.
PantherMedia/sudok1
Balancing high-tech with humanity – digitization in the Intensive Care Unit
03.08.2020
No other hospital area features as much high-tech equipment as the intensive care unit. Each acute care hospital bed has four to ten devices that continuously monitor all patient vital signs and can replace nearly any organ. This creates big data that is often not used effectively. Yet it also holds promise and huge potential.
PantherMedia/Kzenon
Big Data: early warning system for the ICU
03.08.2020
Patient monitoring systems in the ICU sound up to 700 alarms on average per patient per day, which boils down to one alarm every two minutes. An excessive number of them are false alarms. This generates vast amounts of data, which can make it difficult for doctors and nurses to identify the most critical alarms to manage. It also has a negative effect on the treatment of intensive care patients.
Molecular Imaging: fast and reliable stroke detection
02.06.2020
After a stroke, a patient’s life depends on getting acute care at a hospital. Vital monitoring systems ensure safe and effective treatment. An innovative tomographic imaging system is designed to help prevent the patient’s risky journey to radiology and to enable bedside monitoring of cerebral blood flow.
Smartphone app detects cardiac arrhythmia
03.03.2020
Atrial fibrillation is one of the causes for a stroke and often appears without any previous indications. To reduce the risks and provide fast results, the application FibriCheck was invented. With the app it is possible to collect and measure data via smartphone camera.
panthermedia.net/draoscondreaw
Sensor-Based Smart Glove Enables Parkinson's Diagnosis
25.02.2020
Neurological disorders like Parkinson's are often diagnosed once the disease has already progressed to a later stage. The VAFES project was initiated to facilitate an early detection. Sensor technology and VR are used in the creation of a playful test system.
Cardisiography: A Non-Invasive Heart Screening Test
03.02.2020
Coronary heart disease can come as a complete surprise and occur suddenly. Cardisiography was designed to lower the risk and make faster intervention possible. As a non-invasive heart screening test, cardisiography offers the possibility of early detection for heart diseases.
beta web GmbH/Melanie Prüser
Single-use tests: sensitivity and easy use combined for diagnostics
12.12.2019
Diagnostic testing usually takes some time and a sterile environment to get the results. To cut down on the costs and effort spend on these tasks there are different diagnostic tests. One of them are single-use tests offered by SensDx S.A. The technology behind them not only makes the process faster and easier, but provides the opportunity to expand into home use in the future as well.
panthermedia.net/olanstock
Cardiac diagnostics – prompt and personalized
08.11.2019
If physicians suspect an acute myocardial infarction, they first order an ECG. This test is very established and allows cardiologists to quickly diagnose acute heart attacks – though the test does not detect less common heart attack symptoms. So far, those patients had to wait up to twelve hours before a heart attack could be accurately diagnosed or ruled out. But things are about the change.
Multi-organ chips: Drug research without animal testing at vasQlab
15.05.2019
New active substances that are suitable for drugs are initially tested in animal experiments. However, the results cannot always be transferred to the human organism. At the Karlsruhe Institute of Technology, Prof. Ute Schepers from vasQlab explains how active substances can be tested in human tissue without endangering human health.
panthermedia.net / Lev Dolgachov
mHealth: Atrial fibrillation detection – App supports heart health
08.05.2019
Atrial fibrillation is the most common type of persistent cardiac arrhythmia (irregular heart rhythm). Researchers estimate that 1.8 million Germans are presently affected by this disease. The condition is difficult to diagnose, frequently goes undetected and may result in a stroke. A new smartwatch medical app is designed to help patients detect atrial fibrillation before it’s too late.
All-round care for COPD: diagnosis, treatment, self-management
01.03.2019
COPD affects more than 200 million people in the world. Those affected by this chronic pulmonary disease are often slow to notice the symptoms and get a medical diagnosis. This results in secondary complications and high medical costs. That's why an early diagnosis, comprehensive treatment, and frequent monitoring are very important. Various devices and tools support this all-round care.
Comprehensive Treatment: It’s All About Breathing
01.03.2019
Coughing, airway obstruction, difficulty breathing: Chronic obstructive pulmonary disease (COPD) is an umbrella term used to describe progressive and currently incurable lung diseases. The innovative solutions of Philips Respironics help patients to manage each stage of the disease and their medication intake, train the respiratory system and provide respiratory support.
Organ-on-a-chip – Organs in miniature format
01.02.2019
In vitro processes and animal tests are used to develop new medications and novel therapeutic approaches. However, animal testing raises important ethical concerns. Organ-on-a-chip models promise to be a feasible alternative. In a system the size of a smartphone, organs are connected using artificial circulation.
Multi-Organ Chips – The Patients of Tomorrow?
01.02.2019
The liver, nervous tissue or the intestines: all are important human organs that have in the past been tested for their function and compatibility using animal or in vitro test methods. In recent years, TissUse GmbH, a spin-off of the Technical University of Berlin (TU Berlin), has launched multi-organ chip platforms. But that’s not all.
A digital look inside the human eye – when algorithms diagnose Diabetes
02.01.2019
Diabetes mellitus or simply diabetes has become very common and is often described as a lifestyle disease. More and more people are suffering from this chronic metabolic disorder. Next to established diagnostic procedures, digital retinal screening has shown to be successful - a promising technique that will also play an important role in the diagnosis of other diseases in the future.