A5005448991- Single-cell and spatial transcriptomics
- Cell Image Analysis Techniques
- AI in cancer detection
- Cardiovascular Health and Risk Factors
- Vaccine Coverage and Hesitancy
- Hepatitis B Virus Studies
- Advanced Software Engineering Methodologies
- Software Engineering Techniques and Practices
- Mental Health Treatment and Access
- Sleep and related disorders
- Opioid Use Disorder Treatment
- Virtual Reality Applications and Impacts
- Advanced Statistical Methods and Models
- Digital Games and Media
- Data Mining Algorithms and Applications
- Poisoning and overdose treatments
- Sleep and Work-Related Fatigue
- Advanced Clustering Algorithms Research
- Vehicle License Plate Recognition
- CAR-T cell therapy research
- Multi-Criteria Decision Making
- COVID-19 Clinical Research Studies
- Software Testing and Debugging Techniques
- SARS-CoV-2 and COVID-19 Research
- T-cell and B-cell Immunology
Yale University
2021-2025
Panjab University
2025
Stanford University
2021-2023
University of California, San Francisco
2020
Among the most consequential unknowns of devastating COVID-19 pandemic are durability immunity and time to likely reinfection. There limited direct data on SARS-CoV-2 long-term immune responses The aim this study is use among evolutionarily close coronavirus relatives estimate times reinfection by a comparative evolutionary analysis related viruses SARS-CoV, MERS-CoV, human (HCoV)-229E, HCoV-OC43, HCoV-NL63.We conducted phylogenetic analyses S, M, ORF1b genes reconstruct maximum-likelihood...
Naïve CD8 T cells have the potential to differentiate into a spectrum of functional states during an immune response. How these developmental decisions are made and what mechanisms exist suppress differentiation toward alternative fates remains unclear. We employed in vivo CRISPR-Cas9–based perturbation sequencing assess role ~40 transcription factors (TFs) epigenetic modulators cell fate decisions. Unexpectedly, we found that knockout TF Klf2 resulted aberrant exhausted-like acute...
Abstract Understanding the spatial organization of tissues is critical importance for both basic and translational research. While recent advances in tissue imaging are opening an exciting new window into biology human tissues, interpreting data that they create a significant computational challenge. Cell segmentation, task uniquely identifying each cell image, remains substantial barrier imaging, as existing approaches inaccurate or require amount manual curation to yield useful results....
Cytometry technologies are essential tools for immunology research, providing high-throughput measurements of the immune cells at single-cell level. Existing approaches in interpreting and using cytometry include manual or automated gating to identify cell subsets from data, highly intuitive results but may lead significant information loss, that additional details measured correlated signals might be missed. In this study, we propose test a deep convolutional neural network analyzing data...
Health systems are challenged to provide equitable access coronavirus disease 2019 (COVID-19) outpatient care during the pandemic. Infected patients may have difficulties accessing regular and rely on emergency rooms. With goal improve system efficiencies care, Stanford launched a designated COVID-19 "Care Respiratory Observation of Patients Novel Coronavirus" clinic in April 2020 which all adult with newly diagnosed severe acute respiratory syndrome 2 were offered follow-up for 2-3 weeks...
Subscription RequiredScientific InvestigationsToward precision sleep medicine: variations in outcomes among disaggregated Asian Americans the National Health Interview Survey (2006-2018) Ryan Z. Wang, Armaan Jamal, Ziqing Shozen Dan, Malathi Srinivasan, MD, Gloria Kim, Jin Long, PhD, Latha Palaniappan, MS, Jaiveer Singh, Lauren E. Eggert, MD Wang Stanford Center for Research and Education, University School of Medicine, Stanford, CA Department BioSciences, Computer Science, Rice University,...
BackgroundAlthough Asian-American individuals have higher rates of some vaccine-preventable diseases such as hepatitis B, vaccination among them are low compared with those non-Hispanic White individuals. Most vaccine research looks at people a single category despite large within-group heterogeneity in health-seeking behaviours. Little is known about coverage disaggregated ethnic subgroups, although information could inform policies focused on increasing uptake. Therefore, we aimed to...
Introduction: Limited disaggregated Asian subgroup data exist on the association between cardiovascular (CV) risk factors and acculturation level. Hypothesis: The levels CV will differ by subgroups. Methods: We used National Health Interview Survey, a nationally representative US survey, years 2014-18. Acculturation was defined using sum of: (a) in (b) citizenship (c) English proficiency. An index created categorized as low, moderate, or high (scores of 0-1, 2 ≥ 3, respectively)....
Introduction: Social determinants of health, including one’s neighborhood environment, are a fundamental cause health inequities. Low socioeconomic status (NSES) is associated with adverse psychosocial and physical profiles, yet limited data exists among Asian Americans. Our study aim was to determine the association between NSES depressive symptoms psychological distress American adults in New York City (NYC). Methods: The NYC Community Health Survey (CHS) population based annual telephone...
Abstract Cytometry technologies are essential tools for immunology research, providing high-throughput measurements of the immune cells at single-cell level. Traditional approaches in interpreting and using cytometry include manual or automated gating to identify cell subsets from data, highly intuitive results but may lead significant information loss, that additional details measured correlated signals might be missed. In this study, we propose test a deep convolutional neural network...
Background: Limited disaggregated Asian subgroup data exists on the impact of social determinants health (SDOH) optimal cardiovascular (CV) health. Hypothesis: Compared to non-Hispanic whites (NHW), subgroups have a greater likelihood CV health, but this observation may be attenuated after controlling for SDOH. Methods: We analyzed results from National Health Interview Survey (2013-2018), nationally representative sample. Self-reported SDOH variables include demographics, food security,...