A5027244110- Opioid Use Disorder Treatment
- Cancer-related molecular mechanisms research
- Statistical Methods and Inference
- MicroRNA in disease regulation
- Substance Abuse Treatment and Outcomes
- RNA modifications and cancer
- Circular RNAs in diseases
- Prenatal Substance Exposure Effects
- Diet and metabolism studies
- COVID-19 epidemiological studies
- Sepsis Diagnosis and Treatment
- Birth, Development, and Health
- Statistical Methods and Bayesian Inference
- CAR-T cell therapy research
- Hormonal Regulation and Hypertension
- Endoplasmic Reticulum Stress and Disease
- Diet, Metabolism, and Disease
- Epigenetics and DNA Methylation
- Bayesian Methods and Mixture Models
- Domain Adaptation and Few-Shot Learning
- Gene expression and cancer classification
- Nutrition, Genetics, and Disease
- COVID-19 Clinical Research Studies
- Intracerebral and Subarachnoid Hemorrhage Research
- Cancer, Hypoxia, and Metabolism
University of Pittsburgh
2019-2025
Chinese PLA General Hospital
2013-2025
Central South University
2019-2024
Yichang Central People's Hospital
2016-2024
The Seventh Affiliated Hospital of Sun Yat-sen University
2022-2024
Sun Yat-sen University
2022-2024
Union Hospital
2018-2024
Huazhong University of Science and Technology
2018-2024
Central South University of Forestry and Technology
2023-2024
Northeast Petroleum University
2024
COVID-19 is an ongoing global pandemic. Changes in haematological characteristics patients with are emerging as important features of the disease. We aimed to explore and related risk factors COVID-19.
Chimeric antigen receptor-modified T-cell (CAR-T) therapy is effective and safe for patients with relapsed/refractory B-cell acute lymphoblastic leukemia (r/r B-ALL), but its value has been limited in terms of long-term leukemia-free survival. New strategies that can help CAR-T achieve lasting effect are urgently warranted. This non-randomized interventional pragmatic clinical trial had a particular aim. It explored whether consolidative allogeneic hematopoietic stem cell transplantation...
Abstract We develop a health informatics toolbox that enables public workers to timely analyze and evaluate the time-course dynamics of novel coronavirus (COVID-19) infection using available data from China CDC. This is built upon hierarchical epidemiological model in which two observed time series daily proportions infected removed cases are emitted underlying governed by Markov SIR infectious disease process. extend incorporate various types time-varying quarantine protocols, including...
Purpose The Early Life Exposure in Mexico to ENvironmental Toxicants (ELEMENT) Project is a mother–child pregnancy and birth cohort originally initiated the mid-1990s explore: (1) whether enhanced mobilisation of lead from maternal bone stores during poses risk fetal subsequent offspring neurodevelopment; (2) calcium supplementation lactation can suppress mitigate adverse effects exposure on health development. Through utilisation carefully archived biospecimens measure other prenatal...
This study aims to provide comprehensive insights into longitudinal immune landscape in acute myeloid leukemia (AML) development and treatment, which may contribute predict prognosis guide clinical decisions.Periphery blood samples from 79 patients with AML (at diagnosis or/and after chemotherapy or at relapse) 24 healthy controls were prospectively collected. We performed phenotypic functional analysis of various lymphocytes through multiparametric flow cytometry investigated prognostic...
Advances in artificial intelligence (AI) have enabled unprecedented capabilities, yet innovation teams struggle when envisioning AI concepts. Data science think of innovations users do not want, while domain experts that cannot be built. A lack effective ideation seems to a breakdown point. How might multidisciplinary identify buildable and desirable use cases? This paper presents first hand account ideating concepts improve critical care medicine. As team data scientists, clinicians, HCI...
We develop a health informatics toolbox that enables timely analysis and evaluation of the timecourse dynamics range infectious disease epidemics. As case study, we examine novel coronavirus (COVID-19) epidemic using publicly available data from China CDC. This is built upon hierarchical epidemiological model in which two observed time series daily proportions infected removed cases are generated underlying infection governed by Markov Susceptible-Infectious-Removed (SIR) process. extend SIR...
Cuproptosis is a novel form of copper-induced cell death that targets lipoylated tricarboxylic acid (TCA) cycle proteins. However, its prognostic role in lung adenocarcinoma (LUAD) remains unclear. This study aimed to establish cuproptosis-related signature for patients with LUAD.Transcriptome data LUAD samples were extracted from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The value genes (CRGs) was investigated using Cox regression analysis develop model....
Abstract Background and aims Medication for opioid use disorder (MOUD) reduces harms associated with (OUD), including risk of overdose. Understanding how variation in MOUD duration influences overdose is important as health‐care payers increasingly remove barriers to treatment continuation (e.g. prior authorization). This study measured the association between continuation, relative discontinuation, opioid‐related among Medicaid beneficiaries. Design Retrospective cohort using landmark...