1. 9 Sep 2023 Journal Article Journal of Biomedical Optics

    Compressive hyperspectral microscopy for cancer detection

    Yaniv Oiknine, Marwan Abuleil, Eugene Brozgol, Isaac Y August, Iris Barshack, Ibrahim Abdulhalim, Yuval Garini, Adrian Stern
    Abstract

    SignificanceHyperspectral microscopy grants the ability to characterize unique properties of tissues based on their spectral fingerprint. The ability to label and measure multiple molecular probes simultaneously provides pathologists and oncologists with a powerful tool to enhance accurate diagnostic and prognostic decisions. As the pathological workload grows, having

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  2. 1 Sep 2023 Journal Article Journal of Molecular and Cellular Cardiology Plus

    The mechano-electric feedback mediates the dual effect of stretch in mouse sinoatrial tissue

    Limor Arbel-Ganon, Rami Eid, Matan Hamra, Yael Yaniv
    Abstract

    The sinoatrial node (SAN) is the primary heart pacemaker. The automaticity of SAN pacemaker cells is regulated by an integrated coupled-clock system. The beat interval (BI) of SAN, and its primary initiation location (inferior vs. superior) are determined by mutual entrainment among pacemaker cells and interaction with extrinsic effectors, including increased venous

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  3. 28 Aug 2023 Journal Article Scientific Reports

    Using domain adaptation for classification of healthy and disease conditions from mobile-captured images of standard 12-lead electrocardiograms

    Vadim Gliner, Vladimir I Makarov, Arutyun I Avetisyan, Assaf Schuster, Yael Yaniv
    Abstract

    12-lead electrocardiogram (ECG) recordings can be collected in any clinic and the interpretation is performed by a clinician. Modern machine learning tools may make them automatable. However, a large fraction of 12-lead ECG data is still available in printed paper or image only and comes in various formats. To digitize the data, smartphone cameras can be used. Nevertheless

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  4. 25 Aug 2023 Journal Article Frontiers in Neuroscience

    Utilizing Risk-Controlling Prediction Calibration to Reduce False Alarm Rates in Epileptic Seizure Prediction

    Galya Segal, Noam Keidar, Roy Maor Lotan, Yaniv Romano, Moshe Herskovitz, Yael Yaniv
    Abstract

    Epilepsy is a neurological disease characterized by sudden, unprovoked seizures. The unexpected nature of epileptic seizures is a major component of the disease burden. Predicting seizure onset and alarming patients may allow timely intervention, which would improve clinical outcomes and patient quality of life. Currently, algorithms aiming to predict seizures suffer

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  5. 22 Aug 2023 Journal Article Journal of Biomedical Materials Research Part A

    Mechanobiological cell adaptations to changing microenvironments determine cancer invasiveness: Experimentally validated finite element modeling

    Abstract

    Metastases are the leading cause of cancer-associated deaths. A key process in metastasis is cell invasiveness, which is driven and controlled by cancer cell interactions with their microenvironment. We have previously shown that invasive cancer cells forcefully push into and indent physiological stiffness gels to cell-scale depths, where the percentage of indenting

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  6. 22 Aug 2023 Preprint arXiv

    PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction

    Abstract

    T1 mapping is a quantitative magnetic resonance imaging (qMRI) technique that has emerged as a valuable tool in the diagnosis of diffuse myocardial diseases. However, prevailing approaches have relied heavily on breath-hold sequences to eliminate respiratory motion artifacts. This limitation hinders accessibility and effectiveness for patients who cannot tolerate

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  7. 17 Aug 2023 Patent Applied at: EP, WO, US

    Prosthetic heart valve for mitigating stagnation

    Abstract

    A prosthetic heart valve including a valve housing configured to be positioned adjacent to a heart valve annulus, one or more flaps moveably coupled to the valve housing, a passage defined by an inner surface of at least one of the valve housing and the one or more flaps, wherein the passage is configured to facilitate blood flow therethrough along a longitudinal axis

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  8. 12 Aug 2023 Journal Article Nature Communications

    Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry

    Jeremy Levy, Daniel Alvarez, Félix Del Campo, Joachim Behar
    Abstract

    Obstructive sleep apnea (OSA) is a serious medical condition with a high prevalence, although diagnosis remains a challenge. Existing home sleep tests may provide acceptable diagnosis performance but have shown several limitations. In this retrospective study, we used 12,923 polysomnography recordings from six independent databases to develop and evaluate a deep learning

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  9. 9 Aug 2023 Journal Article Advanced Functional Materials

    Monitoring Melanoma Responses to STING Agonism and Focused Ultrasound Thermal Ablation Using Microneedles and Ultrasensitive Single Molecule Arrays

    Daniel Dahis, Michelle Z Dion, Alexander M Cryer, Pere Dosta, Tal Gilboa, Mariana Alonso Riquelme, Michael Lewandowski, Núria Puigmal, Gonzalo Muñoz Taboada, Haim Azhari, Rushdy Ahmad, David R Walt, ... show all 13 authors
    Abstract

    Real-time monitoring of immune state and response to therapy can provide a means to stratify patients and increase the number of responders who will benefit from approved and emerging immunotherapies. The accessibility of immune cells in the skin provides an opportunity for local immune modulation as well as for noninvasive sampling of disease biomarkers in the skin

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  10. 8 Aug 2023 Preprint medRxiv

    Scoping Review of One-Dimension Statistical Parametric Mapping in Lower Limb Biomechanical Analysis

    Abstract

    Background: Biomechanics is crucial in enhancing sports performance and preventing injury. Traditionally, discrete point analysis is used to analyze important kinetic and kinematic data points, reducing continuous data to a single point. One-dimensional Statistical Parametric Mapping (spm1d) offers a more comprehensive approach by assessing entire movement curves instead

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