Applications Predicts patient response to NADT in prostate cancer treatment. Identifies patients likely to benefit from mTOR inhibitors. Enables personalized treatment strategies for improved outcomes. Advantages/Benefits Faster and cheaper biomarker identification process than traditional methods High predictive accuracy for treatment outcomes and … [Read more...] about 2025-013 AI-Powered Cellular Morphometric Biomarkers for Classification of Prostate Cancer for Neoadjuvant Androgen Deprivation Therapy (NADT)
Computing Sciences
2024-126 AI-empowered Cellular Morphometric Biomarkers in Kidney Cancer patients to predict treatment response and prognosis
Applications Classifies clear cell renal cell carcinoma (ccRCC) patients to predict treatment response and prognosis. Personalized therapy selection, including immunotherapy and mTOR inhibitors. Advantages/Benefits Faster and cheaper biomarker identification process than traditional methods High predictive accuracy for treatment outcomes and prognosis … [Read more...] about 2024-126 AI-empowered Cellular Morphometric Biomarkers in Kidney Cancer patients to predict treatment response and prognosis
Cybersecurity
Cybersecurity Technologies Identifying Computational Operations Based on Power Measurements (2016-053 / 2017-112) This innovation enables non-invasive monitoring and “fingerprinting” of computing systems, including supercomputers and data centers, by analyzing high-resolution power consumption data. It uses highly sensitive measurement devices to infer computational … [Read more...] about Cybersecurity
FPGA-based In-Situ Machine Learning for Real-time Quantum State Discrimination 2024-145
Applications of Technology: Quantum validation systems Quantum computing research Quantum hardware manufacturers Benefits: High latency, low error system System fully integrated into control hardware N-state discrimination Facilitates mid-circuit measurements Background: Current quantum state discrimination methods implement quantum state … [Read more...] about FPGA-based In-Situ Machine Learning for Real-time Quantum State Discrimination 2024-145
Advanced Pulse-to-Pulse Stabilization of Laser via Machine Learning 2025-036
Applications of Technology: High-power laser systems Material processing Medical and surgical applications Defense and military Nuclear fusion experiments Laser-plasma accelerators Benefits: Enhanced beam stability in high-power, low-repetition rate lasers Reduces pointing error to a fraction of the laser beam size at the focal point … [Read more...] about Advanced Pulse-to-Pulse Stabilization of Laser via Machine Learning 2025-036