Adaptive coded communication over heterogeneous networks
Researcher:
Alejandro Cohen
Big-Data revolution increases the demand for network connectivity, high data rates, ultra-low latencies, and resource-intensive computations that require efficient utilization of all possible resources. To meet this need there is a huge need for scalable adaptive coding-based solutions for advanced...
Categories:
AI & Data Science|Computer Science & Electrical Engineering
AI analysis for ECG telemedicine
Diagnosis of the cardiac condition involves the analysis of an ECG image through a visual examination of the printed physical output of the recording. The technology enables an automated analysis employing innovative deep-learning methods. The research, enables immediate analysis of...
Categories:
AI & Data Science|Medical Devices & Digital Health
AI-enhanced low-field MRI reconstruction
Technology Magnetic Resonance Imaging (MRI) is one of the most important diagnostic tools in medicine, providing unparalleled visualization of internal anatomy and soft tissues without harmful radiation. Despite its strengths, MRI suffers from long acquisition times, which increase patient discomfort,...
Categories:
AI & Data Science|Medical Devices & Digital Health
AI-powered omics prediction from histology for enhanced diagnostics, response prediction and explainability
Technology This AI-driven technology predicts omics signatures directly from histological biopsy images, transforming standard pathology into a multi-omics-powered diagnostic tool. The method integrates machine learning to map molecular data onto histology, enabling precise prognosis and personalized treatment decisions. Tested on...
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AI & Data Science|Medical Devices & Digital Health|Therapeutics & Diagnostics
Assessment of uncertainty in deep neural nets predictions
Deep neural networks (DNN) are currently used in wide range of computer vision and image processing tasks. Adopting DNN-based techniques for safety-critical clinical applications, such as MRI analysis and reconstruction, in which results inform diagnostic, prognostic, and interventional decisions in...
Categories:
AI & Data Science
Atrial fibrillation prediction
Prediction algorithm for Atrial Fibrillation risk based on novel algorithms that provide earlier more robust detection of AF risk and events based on ECG signal analysis. The technology is based on novel methods for analysis of HRV (Heart rate variability)...
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AI & Data Science|Medical Devices & Digital Health
Automated MRE-based analysis of Crohn’s disease extent
To date, ileocolonoscopy is the reference standard for evaluating disease activity in Crohn's disease (CD). However, this is an invasive procedure that is, generally, poorly tolerated by the patient and which only allows for the mucosal surface to be visualized...
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AI & Data Science|Medical Devices & Digital Health
Binarized neural networks
Deep Neural Networks (DNNs) have substantially pushed Artificial Intelligence (AI) limits in a wide range of tasks. Today, DNNs are almost exclusively trained on one or many very fast and power - hungry Graphic Processing Units (GPUs). In a training...
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AI & Data Science|Computer Science & Electrical Engineering
Bio-convergent approach for predicting clozapine response in schizophrenia
Schizophrenia (SZ) is a severe, incurable chronic psychiatric disorder with a worldwide prevalence of about 1% and a peak onset in late adolescence or early adulthood. The disorder is characterized by disturbances in the main human capabilities - perception, emotion,...
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AI & Data Science|Medical Devices & Digital Health|Therapeutics & Diagnostics
Cancer diagnostics of biopsies measured by spectral imaging
Cancer diagnosis from biopsies traditionally relies on manual microscopic examination by pathologists, a method prone to variability and errors due to increasing demand and shortage of trained personnel. This groundbreaking technology employs advanced spectral imaging combined with artificial intelligence (AI)...
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AI & Data Science|Medical Devices & Digital Health|Therapeutics & Diagnostics
Cancer immunotherapy by nanoparticle-based magnetic support in T cells
Cancer immunotherapy shows poor clinical results in many cancer types. A potent suppressor mechanism is the deprivation of required metabolic nutrients from T cells. Tumors compete with T cells for the same essential nutrients including glucose and amino acids, and...
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AI & Data Science|Medical Devices & Digital Health|Therapeutics & Diagnostics
ClassifAI – Next-generation binary search technology
Packet steering is a fundamental function in network devices such as SmartNICs, switches and routers. The number of steering rules is proportional to the number of users. But TECHNOLOGY LAGS BEHIND. The present packet steering technology powering network-packet-processors is incapable...
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AI & Data Science|Computer Science & Electrical Engineering
Cloud BIM – collaborative platform for building professionals
The fragmented nature of the construction industry necessitates close collaboration among design disciplines and requires extensive data exchange. Despite advances in Building Information Modeling (BIM) technology, teams still rely on a sequential file-based process for design exchange, resulting in issues...
Categories:
AI & Data Science|Automotive, Aerospace & Industry 4.0|Computer Science & Electrical Engineering|Sustainability Energy & ConTech
Computer vision respiratory rate detection
Detection of breathing patterns and abnormalities utilizing a video camera. Analysis of video monitoring of chest movement during breathing provides data regarding the beating pattern and enables rapid response to changes. Advantages Detection of apnea, bradypnea, eupnea and tachypnea No...
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AI & Data Science|Medical Devices & Digital Health
Data-flow analysis pipeline
Traceability, reproducibility, transparency and efficiency are becoming increasingly important in the data analysis pipelines underlying today’s data-rich biomedical research. These analysis pipelines are typically composed of multiple steps, where raw data is hierarchically transformed into simpler, and gradually more insightful,...
Categories:
AI & Data Science|Computer Science & Electrical Engineering
Large datasets play a vital role, particularly in modern AI applications. To ensure efficient query processing and minimize disk access, advanced query optimization capabilities are necessary. The containment rate measures the percentage of result tuples from query Q1 that are...
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AI & Data Science|Computer Science & Electrical Engineering
Deep learning of robotic tasks using strong and weak human supervision
Consider the task of designing a robot capable of performing a complex human task such as dishwashing, driving or clothes ironing. Although natural for adult humans, designing a hard-coded algorithm for such a robot can be a daunting challenge. Difficulties...
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AI & Data Science|Automotive, Aerospace & Industry 4.0|Computer Science & Electrical Engineering
Determining responders to inflammatory bowel disease treatment
Current treatment of Inflammatory bowel diseases (IBDs) is an empiric process, which involves decisions based on the response to therapies by the average patient, without taking into account the basic differences between patients, their specific immune status at a given...
Categories:
AI & Data Science|Medical Devices & Digital Health|Therapeutics & Diagnostics
While biological systems are inherently fuzzy and contain imprecise parts that collectively interact, synthetic computation in living cells is mostly inspired by precise computer engineering principles. Lab research demonstrated that neuromorphic synthetic genetic circuits can be engineered in living cells,...
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AI & Data Science|Therapeutics & Diagnostics
Early detection of myocardial injury
Organ failure due to cardiovascular collapse is a leading cause of mortality in all the intensive cardiac units (ICUs). Myocardial injury is the most cardinal problem in this setting, and proper management of myocardial injury requires early detection. Missing the...
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AI & Data Science|Medical Devices & Digital Health|Therapeutics & Diagnostics
Extreme dimensionality reduction of network training dynamics
Training neural-networks is a highly demanding process, with respect to computational resources and time. Moreover, updating trained networks in deployment with new data is costly and may reduce the overall performance of the network (e.g. due to “catastrophic forgetting”). As...
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AI & Data Science|Automotive, Aerospace & Industry 4.0|Computer Science & Electrical Engineering
Fast training for very large NN
Modern deep neural networks are comprised of millions of parameters which require massive amounts of data and time to train. Steady growth along the years has led these networks to a point where it takes too long to train a...
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AI & Data Science|Computer Science & Electrical Engineering
Free-breathing myocardial T1 mapping with physically-constrained motion correction
Technology Quantitative cardiac T1 mapping via MRI is crucial for diagnosing myocardial diseases such as fibrosis, inflammation, and hypertrophy. Traditional cardiac MRI requires patients to hold their breath, limiting accessibility for pediatric, elderly, and respiratory-compromised individuals. This innovative technology addresses...
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AI & Data Science|Medical Devices & Digital Health
Glaucoma diagnosis using a deep learning
Retinal imaging is widely available and enables affordable examination of the eyes. An optical coherence tomography (OCT) image, is a type of medical imaging technique that provides high-resolution, cross-sectional images of biological tissues, primarily in the eye. Digital fundus imaging...
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AI & Data Science|Medical Devices & Digital Health
Heart rate variability analysis in mammalians
The time variation between consecutive heartbeats is commonly referred to as heart rate variability (HRV). Loss of complexity in HRV has been documented in several cardiovascular diseases and has been associated with an increase in morbidity and mortality. However, the...
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AI & Data Science|Medical Devices & Digital Health
High-resolution immune-aging profiling and cardiovascular risk
Over the past decade it has become apparent that the aging immune system has a fundamental role in a variety of chronic illness, including cardiovascular disease, cancer, neurodegeneration, musculoskeletal conditions and others. This places the immune system as an “aging...
Categories:
AI & Data Science|Medical Devices & Digital Health|Therapeutics & Diagnostics
Image compression and active acquisition using deep posterior sampling
Signals compression or active acquisition can be very heavy data transmitting processes. By taking advantage of recently discovered generative AI capabilities (and specifically diffusion models), our technology enables a computational process for discovering an optimized set of measurements for obtaining...
Categories:
AI & Data Science|Computer Science & Electrical Engineering|Security & Defence
Lirot.AI AI-driven analysis of ophthalmology images
Technology Autonomous AI-Driven Retinal Disease Screening Platform for Primary Care Executive Summary Lumière.ai is a fully autonomous advanced AI-powered screening platform designed to detect major sight threatening retinal diseases including glaucoma, diabetic retinopathy (DR), age-related macular degeneration (AMD), and retinal...
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AI & Data Science|Medical Devices & Digital Health
Machine learning and data mining
Semantic relatedness (SR) is about quantification of the intensity of how much two objects are related to each other. Most automatic SR valuation techniques rely on some kind of world or expert knowledge, which we term background knowledge. The technology...
Categories:
AI & Data Science|Computer Science & Electrical Engineering
MELoDee - multi-exponential model learning based on deep neural networks
The present technology offers a machine-learning solution to the problem of fitting multi-exponential models to observed data. The multi-exponential fitting problem appears in various science and engineering applications, such as nuclear magnetic resonance spectroscopy, lattice quantum chromodynamics, pharmaceutics and chemical...
Categories:
AI & Data Science|Medical Devices & Digital Health
Memristors based neural networks and neuromorphic computing
The impending end of Moore’s law and Dennard's scaling require rethinking the way computing is performed. Thus, several neuro-inspired architectures have been proposed, shifting the spotlight from the traditional von Neumann paradigm to neuromorphic computing. To implement this new paradigm,...
Categories:
AI & Data Science|Computer Science & Electrical Engineering
Metabolic biomarker platform for predicting immunotherapy outcomes
Immunotherapy has revolutionized cancer treatment, but patient response remains unpredictable, with success rates varying significantly across different cancer types. This technology introduces a metabolic biomarker platform derived from single-cell RNA sequencing of tumor-infiltrating immune cells. By analyzing over one million...
Categories:
AI & Data Science|Medical Devices & Digital Health|Therapeutics & Diagnostics
ML based lineage in databases
Data lineage (a type of provenance) consists of metadata added to the data in a database. It enables tracking down errors within the data and can also be used for justification for the existence of data in the database. Data...
Categories:
AI & Data Science|Computer Science & Electrical Engineering
Molecular profiling of cancer by analysis of tissue histomorphology
Deep learning-based method for mapping critical receptors on cancer cells. Using digital images of biopsies taken from breast cancer patients, the new technology is expected to significantly improve personalized cancer treatments. The technology extracts molecular information from biopsy images that...
Categories:
AI & Data Science|Medical Devices & Digital Health
Online single and multi-agent decision making under uncertainty
Autonomous decision making under uncertainty is a fundamental problem in AI and robots, and is essential in numerous practical applications. Novel approaches are provided for decision making under uncertainty, for determining optimal actions online for single and multi agent systems...
Categories:
AI & Data Science|Automotive, Aerospace & Industry 4.0|Security & Defence
Pacemaker signature in the ECG signal
Multiple Heart Rate variation analysis methods based on ECG and/or other signals are deployed in an algorithm which analyses SA node function in order to provide early warning for pacemaker issues. The technology enables early detection of Heart pacemaker issues...
Categories:
AI & Data Science|Medical Devices & Digital Health
Personalized clinical decision support for heart failure patients
Technology Heart failure remains a leading cause of mortality, with 20% of patients dying within one year of diagnosis and 50% within five years. Current treatment approaches are often generalized and fail to account for the complex interplay between heart...
Categories:
AI & Data Science|Medical Devices & Digital Health|Therapeutics & Diagnostics
Real time mitochondrial dimension measurements
Mitochondrial volume is correlated with cell function and internal cell processes. Changes in mitochondrial volume were associated with advanced states of cardiac disease. Thus, measurements of mitochondrial dimension deformations are important to the understanding of cell function and its deterioration....
Categories:
AI & Data Science|Medical Devices & Digital Health
System and method for emulating quantization noise for a neural network
Training neural networks cannot be done with discrete values. The common solution is to approximate the quantized values with continuous ones which suffer accuracy degradation for extreme low precision especially for small models. The technology deals with training of low...
Categories:
AI & Data Science|Computer Science & Electrical Engineering
Tumor mutational burden from a single sample RNA-sequencing
Immunotherapy has revolutionized cancer therapy. Yet, many patients do not respond, thus making the search for biomarkers a critical need. One of the FDA-approved biomarkers is Tumor Mutational Burden (TMB), standing for the number of somatic mutations detected in the...
Categories:
AI & Data Science|Therapeutics & Diagnostics
Wearable multimodality haptic feedback device
Virtual and Augmented Reality (VR and AR) are rapidly evolving fields, with applications in multiple domains, from gaming to medicine. While the visual and auditory feedback provided have progressed greatly, accompanying devices for haptic feedback are still limited in their...
Categories:
AI & Data Science|Medical Devices & Digital Health
X-ray free imaging for adolescent scoliosis diagnosis
Adolescent Idiopathic Scoliosis (AIS) is a prevalent disease that currently requires radiographic imaging for accurate diagnosis and treatment planning. Much work has been done to identify and classify scoliosis using surface and topographic measurements, but current techniques rely on local...
Categories:
AI & Data Science|Medical Devices & Digital Health|Therapeutics & Diagnostics
