Diagnostics
19 Results were found on Technologies
Sub Category Name
Molecular Harvesting with Electroporation for Tissue Profiling
Detecting tumors in unknown locations and Creating molecular maps of therapeutically relevant targets in heterogeneous tumors by molecular harvesting with electroporation. Our vision is to assist physicians to diagnose cancer more precise and help scientists and drug companies develop personalized, targeted therapies. We achieved this by providing tools for accurate spatial molecular mapping of tumors […] Read More >
Label-Free 3D Quantitative Imaging of Live Cells
A method for a real-time visualization and automatic processing for detection and classification of untouched and unstained cells during stain-free imaging flow cytometry and digital pathology using digital holographic microscopy and machine learning. UNMET NEED Most approaches dealing with the identification and characterization of specific cell types rely on using unique antigens or contrast agents. […] Read More >
An early stage screening tool for distinguishing pregnant women having an increased risk of developing preeclampsia
Preeclampsia is one of the most dangerous pregnancy complications occurs in the second or third trimester, affecting 3–8% of pregnancies; it is the leading cause of maternal and perinatal mortality and morbidity. Preeclampsia cannot reliably be predicted as no tests available in early pregnancy. OUR INNOVATION The invention is based in part on the finding […] Read More >
High Resolution Imaging of Turbid Media
Imaging through turbid (highly scattering) media such as biological tissue, milk, fog, or blood is a major challenge in scientific research, medical diagnostics, and industrial inspection. Traditional imaging techniques struggle with significant light scattering, leading to poor resolution, low contrast, and limited penetration depth. This hinders applications like high-resolution imaging inside biological tissues, quality inspection […] Read More >
A smartphone based psychiatrist-aid system to monitor and prevent recurring illnesses
Lifegraph enables early detection of disease deterioration in mental health patients, using proprietary machine-learning algorithms applied to data collected from the smartphone sensors. VISION Improving lives of patients with mental disorders and decreasing the burden of disease on patients, their families and society as a whole. NEED AND MARKET POTENTIAL Mental disorders are a leading […] Read More >
An Add-On Optical Interferometer Chamber to Phase Microscopes for Sub-Nanometer 3D and Dynamic Information
Technology An add-on optical module for microscopes allowing for single frame and dynamic capture of amplitude and phase profiles of transparent or semi-transparent biological and non-biological samples. This easyto-use interferometric device is simply positioned in the camera port of a conventional inverted microscope, enabling quantitative structural, thickness and refractive index measurements in a noncontact, label-free […] Read More >
METHODS AND KITS FOR DETERMINING PREDISPOSITION TO DEVELOP KIDNEY DISEASES
Many rare kidney disorders exhibit a monogenic, Mendelian pattern of inheritance. Population-based genetic studies have identified many genetic variants associated with an increased risk of developing common kidney diseases. Strongly associated variants have potential clinical uses as predictive markers and may advance our understanding of disease pathogenesis. These principles are elegantly illustrated by a region […] Read More >
Novel Class of Turn-ON Near-Infrared Probes for Diagnosis and Imaging of Inflammation and Cancer
Complete tumor removal during surgery has a great impact on patient survival. To that end, the surgeon should detect the tumor, remove it and validate that there are no residual cancer cells left behind. Residual cells at the incision margin of the tissue removed during surgery are associated with tumor recurrence and poor prognosis for […] Read More >
Microfluidic Flow-meter and Sensor for Drug Delivery Applications
The current structure of medical pumps does not allow real-time measurement of different parameters of drug delivery in general and low flow rates (μL/min) in particular. The current structure wherein only indirect measurements are performed (commonly pressure) makes it difficult to detect failures (e.g. air bubbles, occlusion, infiltration) in real-time on the one hand and […] Read More >
