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Search Results - technology+classifications+%3e+computer+science+%3e+imaging
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A multi-dimensional phenotypic space for genotype to phenotype mapping and intelligent design of cancer drug therapies using a Deep Learning Net
Deep learning system maps cellular phenotypes in multi-dimensional space to predict and optimize cancer drug therapy combinations Background: Current approaches to cancer drug therapy development lack a systematic way to connect cellular genetic information with therapeutic responses. While single-cell genomic technologies like ATAC-seq and RNA-seq...
Published: 7/22/2026
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Updated: 7/7/2025
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Inventor(s):
Kiran Vanaja
,
Saeed Amal
Keywords(s):
Category(s):
Technology Classifications > Computer Science > AI
,
Technology Classifications > Life Science > Bioinformatics
,
Technology Classifications > Life Science > Digital Health
,
Technology Classifications > Computer Science > Imaging
Methods for localizing and classifying cavitation activities based on eigen-based frequency selection
Enhancing image-guided therapeutic ultrasound: Precise detection & classification of bubble behavior for better treatment efficacy & safety Background: In therapeutic ultrasound applications, accurately detecting and classifying bubble behavior (cavitation) is crucial for optimizing treatment efficacy and safety. Current methods for passive...
Published: 7/22/2026
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Updated: 6/13/2025
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Inventor(s):
Tao Sun
,
Nathan Caso
Keywords(s):
Category(s):
Technology Classifications > Life Science > Biotechnology
,
Technology Classifications > Life Science > Theragnostic
,
Technology Classifications > Computer Science > Imaging
,
Technology Classifications > Life Science > Diagnostics
Machine-learning assisted integrated non-linear optical spectrometer
Revolutionizing quantum and bioimaging with AI-driven non-linear optical spectroscopy Background: In the realm of optical spectroscopy, conventional non-linear optical spectrometers often struggle to effectively analyze complex biological and quantum materials, particularly beyond non-centrosymmetric second harmonic generation (SHG). Traditional approaches...
Published: 7/21/2026
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Updated: 6/13/2025
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Inventor(s):
Alberto De la Torre Duran
,
Edward Mercer
,
Brennan Bezdek
,
Aaron Picard
,
Christa Haase
Keywords(s):
Category(s):
Technology Classifications > Computer Science > Imaging
,
Technology Classifications > Physical Science > Electronics/Semiconductors
,
Technology Classifications > Life Science > Biotechnology
Faster and Accurate Neural Networks with Semantic Inference
SINF intelligently clusters inputs to selectively engage DNN subgraphs, reducing computational load while maintaining high accuracy. https://nu.technologypublisher.com/files/sites/adobestock_367338925.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-21.jpg Source Adobe Stock By Summit Art Creations # 367338925 Background The...
Published: 7/27/2026
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Updated: 7/26/2024
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Inventor(s):
Francesco Restuccia
,
Jonathan Ashdown
,
A Q M Sazzad Sayyed
Keywords(s):
Artificial intelligence
,
computer vision and deep learning
,
Efficient computing
Category(s):
Technology Classifications > WIoT
,
Technology Classifications > 3. Computer Science > AI
,
Technology Classifications > 3. Computer Science > Imaging
On-Chip Active Resonator Based Spectrum Sensing
INV-22107 Background Precise navigation and timing needs for both military and civilian applications are primarily enabled by GPS. While GPS can provide navigational accuracy down to a few meters, that accuracy degrades in a multi-path environment, yet various DoD applications involving drones and mobile platforms require navigational accuracy down...
Published: 7/27/2026
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Updated: 12/27/2023
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Inventor(s):
Aatmesh Shrivastava
Keywords(s):
Category(s):
Technology Classifications > Physical Science > Electronics/Semiconductors
,
Technology Classifications > Physical Science > Intelligent/Autonomous vehicles
,
Technology Classifications > Physical Science > Security
,
Technology Classifications > Computer Science > IoT
,
Technology Classifications > Physical Science > Energy
,
Technology Classifications > Computer Science > Imaging