A5046758745- Esophageal Cancer Research and Treatment
- Theoretical and Computational Physics
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum Information and Cryptography
- Stochastic processes and statistical mechanics
- Quantum Mechanics and Applications
- Radiomics and Machine Learning in Medical Imaging
- Esophageal and GI Pathology
- Gastric Cancer Management and Outcomes
- Quantum Computing Algorithms and Architecture
Nference (United States)
2023
Indian Institute of Science Education and Research Thiruvananthapuram
2022
INTRODUCTION: Screening for Barrett's esophagus (BE) is suggested in those with risk factors, but remains underutilized. BE/esophageal adenocarcinoma (EAC) prediction tools integrating multiple factors have been described. However, accuracy modest (area under the receiver-operating curve [AUROC] ≤0.7), and clinical implementation has challenging. We aimed to develop machine learning (ML) BE/EAC models from an electronic health record (EHR) database. METHODS: The Clinical Data Analytics...
We explore the flow of quantum correlations in cluster states defined on ladder type graphs as measurements are done qubits located nodes cluster. focus three at end and compute non-classical between two remaining qubits. both entanglement well discord them after measurements. see that all but measured, developed show a trend being stronger with length ladder. It is also seen to basis operators belonging Clifford group do not produce such or entanglement. The produced depend only number,...
The relation between genuine multipartite entanglement in the pure state of a collection N qubits and nonclassical correlations its two-qubit subsystems is studied. Quantum discord used as quantifier subsystem while generalised geometric measure (GGM) [Phys. Rev. A. 81, 012308 (2010)] to quantify global N-qubit state. While no definite discernible dependence two can be found for randomly generated states, those with additional structure like weighted graph states we find that local...