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Computational simulations trained neural network to characterize non-visible material flaws from ultrasound real-life measurements
Computational simulations trained neural network to characterize non-visible material flaws from ultrasound real-life measurements Overview Non-destructive testing (NDT) has been used as an important tool to detect flaws/crack-like anomalies to assess structural integrity for a wide variety of applications. Current in-field ultrasonic defect detection...
Published: 6/4/2025
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Inventor(s):
Vikas Srivastava
,
Sijun Niu
Keywords(s):
Category(s):
Machine Learning
,
Artificial Intelligence (AI)
Responsive Hydrogel Systems to Regulate pH of Breast Cancer Tumor Microenvironment
Overview The acidification of cancer microenvironments is a well-known characteristic of solid tumors. Our novel hydrogel systems restore pH homeostasis by reducing pH levels within the tumor, thereby limiting drug resistance and metastasis. Market Opportunity Solid tumors grow faster than the blood supply to them, causing formation of a microenvironment...
Published: 11/1/2022
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Inventor(s):
Vikas Srivastava
,
Savan Santoki
,
Sijun Niu
Keywords(s):
Category(s):
Drug Delivery
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