A5034877284- Quantum Information and Cryptography
- Quantum optics and atomic interactions
- Gene expression and cancer classification
- COVID-19 diagnosis using AI
- Machine Learning in Healthcare
- Spectroscopy and Quantum Chemical Studies
- Single-cell and spatial transcriptomics
- Theoretical and Computational Physics
- Quantum many-body systems
- Orthopedic Infections and Treatments
- Quantum Mechanics and Non-Hermitian Physics
- Artificial Intelligence in Healthcare and Education
- Transplantation: Methods and Outcomes
- Bioinformatics and Genomic Networks
- Molecular Biology Techniques and Applications
National Institute of Environmental Health Sciences
2025
National Institutes of Health
2025
The Wallace H. Coulter Department of Biomedical Engineering
2023
Georgia Institute of Technology
2023
Regeneron (United States)
2023
University of Freiburg
1987-1990
Expert microscopic analysis of cells obtained from frequent heart biopsies is vital for early detection pediatric transplant rejection to prevent failure. Detection this rare condition prone low levels expert agreement due the difficulty identifying subtle signs within biopsy samples. The rarity also means that very few gold-standard images are available developing machine learning models. To solve urgent clinical challenge, we developed a deep model automatically quantify risk digital...
More than 60% of pregnancy losses occur during the first trimester, highlighting need to understand role oviduct in early pregnancy. In this study, we conditionally ablated classical progesterone receptor ( Pgr ) oviductal epithelial cells, called d/d mouse model. We found that 40% embryos collected from females were nonviable or developmentally delayed, indicating PGR expression is crucial for embryonic development. Single-cell RNA sequencing revealed up-regulation proinflammatory genes,...
Personalized medicine plays an important role in treatment optimization for COVID-19 patient management. Early patients at high risk of severe complications is vital to prevent death and ventilator use. Predicting clinical outcomes using machine learning may provide a fast data-driven solution optimizing care by estimating the need early treatment. In addition, it essential accurately predict across demographic groups, particularly those underrepresented existing models. Unfortunately, there...
The Schrodinger equation for the E⊗ε Jahn-Teller and Rabi systems in Bargmann's Hilbert space (1962) is a system of two ordinary differential equations first order spin up down components wavefunctions. This has regular one irregular singular points. energy eigenvalues are selected by requirement that solutions belong to entire functions. generalised spheroidal wavefunctions have same points exponents at each point. It therefore conjectured component excited state i can be expanded i+4 ν(i)...
Abstract Spatial transcriptomics is a powerful technology for high-resolution mapping of gene expression in tissue samples, enabling molecular level understanding architecture. The acquisition entails dissecting and profiling micron-thick slices, with multiple slices often needed comprehensive study. However, the lack common coordinate framework (CCF) among due to slicing displacement variations, can hinder data analysis, making comparison integration challenging, potentially compromising...
Abstract New dynamical aspects are investigated of the pseudo‐ E ⊗ ε‐Jahn‐Teller Hamiltonian (PJTH). A close relation is found between PJTH and Jaynes‐Cummings model in quantum optics. After using a continued fraction method for diagonalization exact eigenfunctions used to investigate some dynamics. rotating wave approximation introduced which makes problem exactly solvable. The results two approaches compared.