Thinh Ngoc Tran

ORCID: 0000-0002-3428-2507
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About
Contact & Profiles
Research Areas
  • Cancer Genomics and Diagnostics
  • Lung Cancer Treatments and Mutations
  • Lung Cancer Diagnosis and Treatment
  • Lung Cancer Research Studies
  • RNA modifications and cancer
  • Genomics and Rare Diseases
  • Genetic factors in colorectal cancer
  • Single-cell and spatial transcriptomics
  • Radiomics and Machine Learning in Medical Imaging
  • Biomedical and Engineering Education
  • Genetics, Bioinformatics, and Biomedical Research
  • Bioinformatics and Genomic Networks
  • Cancer-related molecular mechanisms research
  • Pluripotent Stem Cells Research
  • Quantum Computing Algorithms and Architecture
  • Algorithms and Data Compression
  • Congenital heart defects research
  • Gene expression and cancer classification
  • Ferroptosis and cancer prognosis
  • Neural Networks and Reservoir Computing
  • Genomics and Chromatin Dynamics
  • Biotechnology and Related Fields
  • Cancer Immunotherapy and Biomarkers
  • Quantum Information and Cryptography
  • Developmental Biology and Gene Regulation

University of Toronto
2019-2025

Public Health Ontario
2023-2025

Kettering University
2022-2024

Memorial Sloan Kettering Cancer Center
2021-2024

Chulalongkorn University
2024

King Chulalongkorn Memorial Hospital
2024

Pham Ngoc Thach University of Medicine
2024

National Hospital of Pediatrics
2024

Molecular Oncology (United States)
2022-2023

Hospital for Sick Children
2023

Abstract International cancer registries make real-world genomic and clinical data available, but their joint analysis remains a challenge. AACR Project GENIE, an international registry collecting from 19 centers, makes >130,000 patients publicly available through the cBioPortal for Cancer Genomics (https://genie.cbioportal.org). For 25,000 patients, additional longitudinal data, including treatment outcome are being collected by GENIE Biopharma Collaborative using PRISSMM curation...

10.1158/0008-5472.can-23-0816 article EN cc-by-nc-nd Cancer Research 2023-09-05

We describe and benchmark a new quantum charge-coupled device (QCCD) trapped-ion computer based on linear trap with periodic boundary conditions, which resembles race track. The system successfully incorporates several technologies crucial to future scalability—including electrode broadcasting, multilayer rf routing, magneto-optical (MOT) loading—while maintaining, in some cases exceeding, the gate fidelities of previous QCCD systems. is initially operated 32 qubits, but upgrades will allow...

10.1103/physrevx.13.041052 article EN cc-by Physical Review X 2023-12-18

Abstract Compact cardiomyocytes that make up the ventricular wall of adult heart represent an important therapeutic target population for modeling and treating cardiovascular diseases. Here, we established a differentiation strategy promotes specification, proliferation maturation compact from human pluripotent stem cells (hPSCs). The generated under these conditions display ability to use fatty acids as energy source, high mitochondrial mass, well-defined sarcomere structures enhanced...

10.1038/s41467-021-23329-z article EN cc-by Nature Communications 2021-05-26

Single-cell RNA sequencing (scRNA-seq) can map cell types, states and transitions during dynamic biological processes such as tissue development regeneration. Many trajectory inference methods have been developed to order cells by their progression through a process. However, when time series data is available, most of these do not consider the available information ordering are instead designed work only on single scRNA-seq snapshot. We present Tempora, novel method that orders using from...

10.1371/journal.pcbi.1008205 article EN cc-by PLoS Computational Biology 2020-09-09

Abstract Accurate ancestry inference is critical for identifying genetic contributors of cancer disparities among populations. Although methods to infer have historically relied upon genome-wide markers, the adaptation targeted clinical sequencing panels presents an opportunity incorporate into routine diagnostic workflows. We show that global ancestral contributions and admixture continental populations can be quantitatively inferred using markers captured by MSK-IMPACT panel. In a...

10.1158/2159-8290.cd-22-0312 article EN Cancer Discovery 2022-09-01

We describe the clinical and genomic landscape of non-small cell lung cancer (NSCLC) cohort American Association for Cancer Research (AACR) Project Genomics Evidence Neoplasia Information Exchange (GENIE) Biopharma Collaborative (BPC). A total 1,846 patients with NSCLC whose tumors were sequenced from 2014 to 2018 at four institutions participating in AACR GENIE randomly chosen curation using PRISSMM data model. Progression-free survival (PFS) overall (OS) estimated treated standard...

10.1158/1078-0432.ccr-23-0580 article EN cc-by-nc-nd Clinical Cancer Research 2023-05-24

The digitization of health records and growing availability tumour DNA sequencing provide an opportunity to study the determinants cancer outcomes with unprecedented richness. Patient data are often stored in unstructured text siloed datasets. Here we combine natural language processing annotations1,2 structured medication, patient-reported demographic, registry genomic from 24,950 patients at Memorial Sloan Kettering Cancer Center generate a clinicogenomic, harmonized oncologic real-world...

10.1038/s41586-024-08167-5 article EN cc-by-nc-nd Nature 2024-11-06

We describe and benchmark a new quantum charge-coupled device (QCCD) trapped-ion computer based on linear trap with periodic boundary conditions, which resembles race track. The system successfully incorporates several technologies crucial to future scalability, including electrode broadcasting, multi-layer RF routing, magneto-optical (MOT) loading, while maintaining, in some cases exceeding, the gate fidelities of previous QCCD systems. is initially operated 32 qubits, but upgrades will...

10.48550/arxiv.2305.03828 preprint EN other-oa arXiv (Cornell University) 2023-01-01

The Healthy Eating Index-Canada 2015 (HEI-C 2015), Diet Quality Index-International (DQI-I), and Food Index 2019 (HEFI-2019) are commonly used to summarize the quality of Canadian diets. This paper sought compare these three diet indices with respect their ability capture diets different in children discriminate between population subgroups. Data were collected school-based surveys from grade 4-6 students (9-12 years old) western Canada through 24-h dietary recall 2016 (n = 336), 2018 454),...

10.3389/fnut.2024.1519829 article EN cc-by Frontiers in Nutrition 2025-01-07

Objective: To assess the treatment outcomes of patients using early mobilization aids following uterine and ovarian surgery at Department Adnexal Surgery, Nghe An Oncology Hospital in 2024. Participants Methods: A cross-sectional descriptive study was conducted on over 150 who underwent resections Hospital. The effectiveness assessed based patient compliance recovery progress. Early aids, developed as a hospital-level technical innovation 2023, were implemented under Conclusion No....

10.54436/jns.2025.01.892 article EN cc-by-nc Tạp chí Khoa học Điều dưỡng 2025-02-21

Objective: To evaluate fall risk using the Morse Fall Scale in Parkinson’s disease (PD) patients at Bach Mai Neurology Center. Subjects: 75 PD undergoing outpatient treatment Hospital from March 2024 to November 2024. Methods: Cross-sectional descriptive study. Results: The cohort had a mean age of 65.98 ± 8.17 years, with 64% aged >60. Females predominated (56%). Hypertension (28%) and sleep disorders (26.7%) were common comorbidities. Most (54.7%) duration 5–10 classified as Hoehn &...

10.62511/vjn.44.2025.046 article EN Deleted Journal 2025-03-17

Abstract The brain consists of thousands different neuronal types that are generated through multiple divisions stem cells. These cells have the capacity to generate at stages their development. In Drosophila , this temporal patterning is driven by successive expression transcription factors (tTFs). While a number tTFs known in animals and across various parts nervous system, these been mostly identified informed guesses antibody availability. We used single-cell mRNA sequencing identify...

10.1101/2021.06.13.448242 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-06-14

Profound dengue shock syndrome (DSS) complicated by severe respiratory failure necessitating mechanical ventilation (MV) accounts for high case fatality rates among PICU-admitted patients. A major challenge to management is the assessment of intravascular volume, which can be hampered plasma leakage and use MV.

10.1097/pcc.0000000000003413 article EN cc-by-nc-nd Pediatric Critical Care Medicine 2023-11-15

Abstract Clinical data storage in unstructured notes and siloed datasets present a major challenge for large-scale cancer informatics. Whether natural language processing (NLP) combined with multimodal integration across can produce mineable resource improve discovery of relationships between tumor genomics clinical phenotypes is unknown. We hypothesized that NLP could automatically annotate pan-cancer corpus 82,464 patients genomic sequencing. To develop algorithms to free-text reports, we...

10.1158/1538-7445.am2024-3892 article EN Cancer Research 2024-03-22

Cell cycle duration changes dramatically during development, starting out fast to generate cells quickly and slowing down over time as the organism matures. The cell can also act a transcriptional filter control expression of long gene transcripts, which are partially transcribed in short cycles. Using mathematical simulations proliferation, we identify an emergent property that this tuning knob transcript expression, diversity, number proportion different types tissue. Our predictions...

10.7554/elife.64951 article EN cc-by eLife 2021-07-02

Significant financial benefits are realized by reducing the wafer edge exclusion to gain additional productive chips as well enhance yield of former edge-most region wafer. Challenges discussed and cost-effective solutions provided for major unit process integration issues such plasma-etch induced blocked/distorted pattern, image displacement, interlayer misalignment, lithography coating patterning, pattern-density-dependent CMP Etch non-uniformity, scribe readability, shared-driver shorts.

10.1109/asmc.2004.1309614 article EN 2004-09-07

Abstract AI-based variant effect predictors (VEPs), such as AlphaMissense, which is based on the protein structure prediction method AlphaFold, have gained significant attention for their potential to predict pathogenic effects of mutations. However, utility these methods identifying mutations in cancer remains unknown. We sought quantify prevalence variants unknown significance (VUSs) across pan-cancer, multi-institution AACR GENIE cohort (N=160,965 samples) and test VEPs (SIFT, PolyPhen,...

10.1158/1538-7445.am2024-1252 article EN Cancer Research 2024-03-22

Abstract Characterizing and validating which mutations influence development of cancer is challenging. Machine learning has delivered significant advances in protein structure prediction, but its utility for identifying drivers less explored. We evaluated multiple computational methods driver alterations. For known drivers, incorporating or functional genomic data outperformed trained only on evolutionary data. further validated VUSs annotated as pathogenic by testing their association with...

10.1101/2024.03.31.587410 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2024-04-01
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