-
9 Sep 2023 • Journal Article • Journal of Biomedical Optics
Compressive hyperspectral microscopy for cancer detection
AbstractSignificanceHyperspectral 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
… show more -
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
AbstractThe 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
… show more -
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
Abstract12-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
… show more -
25 Aug 2023 • Journal Article • Frontiers in Neuroscience
Utilizing Risk-Controlling Prediction Calibration to Reduce False Alarm Rates in Epileptic Seizure Prediction
AbstractEpilepsy 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
… show more -
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
AbstractMetastases 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
… show more -
22 Aug 2023 • Preprint • arXiv
PCMC-T1: Free-breathing myocardial T1 mapping with Physically-Constrained Motion Correction
AbstractT1 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
… show more -
17 Aug 2023 • Patent • Applied at: EP, WO, US
Prosthetic heart valve for mitigating stagnation
AbstractA 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
… show more -
12 Aug 2023 • Journal Article • Nature Communications
Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry
AbstractObstructive 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
… show more -
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
AbstractReal-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
… show more -
8 Aug 2023 • Preprint • medRxiv
Scoping Review of One-Dimension Statistical Parametric Mapping in Lower Limb Biomechanical Analysis
AbstractBackground: 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
… show more