Tommy Liu

ORCID: 0000-0003-4800-8418
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About
Contact & Profiles
Research Areas
  • Cardiac Imaging and Diagnostics
  • Coronary Interventions and Diagnostics
  • HIV/AIDS drug development and treatment
  • Acute Myocardial Infarction Research
  • Machine Learning in Materials Science
  • HIV Research and Treatment
  • Ion Transport and Channel Regulation
  • Electrolyte and hormonal disorders
  • HIV/AIDS Research and Interventions
  • Renal function and acid-base balance
  • Explainable Artificial Intelligence (XAI)
  • Magnesium in Health and Disease
  • Functional Brain Connectivity Studies
  • stochastic dynamics and bifurcation
  • Hepatitis C virus research
  • Hepatitis B Virus Studies
  • Artificial Intelligence in Games
  • Nonlinear Dynamics and Pattern Formation
  • Ecosystem dynamics and resilience
  • Machine Learning in Healthcare
  • Face Recognition and Perception
  • Biochemical and Molecular Research
  • Machine Learning and Data Classification
  • Data Analysis with R
  • Cardiac Valve Diseases and Treatments

European Patent Organisation
2025

University Medical Center Utrecht
2025

Baylor College of Medicine
2024

Haga Hospital
2018-2024

Australian National University
2019-2024

Yale University
2020-2023

Centre for Addiction and Mental Health
2018

Brigham and Women's Hospital
2012

Gilead Sciences (United States)
2010

Stanford University
2004-2010

Background Quantitative flow ratio ( QFR ) is a novel modality for physiological lesion assessment based on 3‐dimensional vessel reconstructions and contrast velocity estimates. We evaluated the value of online during routine invasive coronary angiography procedural feasibility, diagnostic performance, agreement with pressure‐wire–derived fractional reserve FFR as gold standard in an international multicenter study. Methods Results FAVOR II E‐J (Functional Assessment by Various Flow...

10.1161/jaha.118.009603 article EN cc-by-nc-nd Journal of the American Heart Association 2018-07-06

The dynamics of emerging nucleoside and nucleotide reverse-transcriptase inhibitor (NRTI) resistance in hepatitis B virus (HBV) are not well understood because standard dideoxynucleotide direct polymerase chain reaction (PCR) sequencing assays detect drug-resistance mutations only after they have become dominant. To obtain insight into NRTI resistance, we used a new technology to characterize the spectrum low-prevalence NRTI-resistance HBV obtained from 20 plasma samples 11 NRTI-treated...

10.1086/597808 article EN The Journal of Infectious Diseases 2009-03-20

BackgroundIt is important, for drug-resistance surveillance, to identify human immunodeficiency virus type 1 (HIV-1) strains that have undergone antiretroviral drug selection MethodsWe compared the prevalence of protease and reverse-transcriptase (RT) mutations in HIV-1 sequences from persons with without previous treatment inhibitors (PIs), nucleoside RT (NRTIs), nonnucleoside (NNRTIs). Treatment-associated isolates 5867 6247 were categorized by whether they polymorphic (prevalence, >0.5%)...

10.1086/431601 article EN The Journal of Infectious Diseases 2005-07-06

K103N, the most common nonnucleoside reverse transcriptase inhibitor (NNRTI)-resistant mutation in patients with transmitted resistance and receiving a failing NNRTI-containing regimen, is fully susceptible to new NNRTI, etravirine. Therefore, we sought determine how often NNRTI-resistant mutations other than K103N occur as minority variants plasma samples for which standard genotypic testing detects alone.

10.1097/qai.0b013e3181bca669 article EN JAIDS Journal of Acquired Immune Deficiency Syndromes 2009-10-21

Background: Quantitative flow ratio (QFR) is a tool for physiological lesion assessment based on invasive coronary angiography. Aims:We aimed to assess the reproducibility of QFR computed from same angiograms as assessed by multiple observers different, international sites.Methods: We included 50 patients previously enrolled in dedicated studies.QFR was twice, one month apart five blinded observers.The main analysis coefficient variation (CV) measure intra-and inter-observer...

10.4244/eij-d-21-00425 article EN EuroIntervention 2022-02-01

Ovarian cancer is a significant health issue with lasting impacts on the community. Despite recent advances in surgical, chemotherapeutic and radiotherapeutic interventions, they have had only marginal due to an inability identify biomarkers at early stage. Biomarker discovery challenging, yet essential for improving drug clinical care. Machine learning (ML) techniques are invaluable recognising complex patterns compared conventional methods, can lack physical insights into diagnosis....

10.1016/j.jbi.2023.104365 article EN cc-by-nc-nd Journal of Biomedical Informatics 2023-04-14

Quantitative flow ratio (QFR) is a computation of fractional reserve (FFR) based on invasive coronary angiographic images. Calculating QFR less than measuring FFR and may be associated with lower costs. Current evidence supports the call for an adequately powered randomised comparison evaluation intermediate stenosis. The aim FAVOR III Europe Japan trial to investigate if QFR-based diagnostic strategy yields non-inferior 12-month clinical outcome compared standard FFR-guided in patients...

10.4244/eij-d-21-00214 article EN EuroIntervention 2023-04-01

ABSTRACT In a sample of 6,156 sequences from 4,183 persons, the top 30 patterns protease inhibitor, nucleoside reverse transcriptase (RT) and nonnucleoside RT inhibitor mutations accounted for 55, 46, 66%, respectively, with drug resistance mutations. Characterization phenotypic clinical significance these common may lead to improved treatment recommendations large proportion patients whom antiretroviral therapy is failing.

10.1128/aac.48.8.3122-3126.2004 article EN Antimicrobial Agents and Chemotherapy 2004-07-23

Background The HIV-1 nucleoside RT inhibitor (NRTI)-resistance mutation, K65R confers intermediate to high-level resistance the NRTIs abacavir, didanosine, emtricitabine, lamivudine, and tenofovir; low-level stavudine. Several lines of evidence suggest that is more common in subtype C than B viruses. Methods Findings We performed ultra-deep pyrosequencing (UDPS) clonal dideoxynucleotide sequencing plasma virus samples assess prevalence minority variants viruses from untreated individuals....

10.1371/journal.pone.0010992 article EN cc-by PLoS ONE 2010-06-07

Angina with non-obstructive coronary arteries (ANOCA) is a major cause of chronic syndromes, affecting nearly half patients anginal symptoms who undergo invasive angiography. ANOCA may lead to substantial symptom burden, increased risk adverse cardiac events, healthcare utilization due ongoing symptoms, repeat hospitalizations, and testing. The pathophysiology often involves variety disorders, such as microvascular dysfunction, epicardial or vasospasm endothelial dysfunction. While function...

10.1016/j.ahj.2025.03.004 article EN cc-by American Heart Journal 2025-03-01

INTRODUCTION: Deep brain stimulation (DBS) is an effective therapy for treatment-resistant obsessive compulsive disorder (trOCD), achieving a success rate of 66%. METHODS: A review intraoperative and programming records from twenty-three trOCD patients treated at Baylor College Medicine between 2018 2024 was conducted. Interviews during visits or by phone were used to gather patient experiences these olfactory events. Stimulation settings linked phenomena extracted records. RESULTS: Five...

10.1227/neu.0000000000003360_469 article EN Neurosurgery 2025-03-14

INTRODUCTION: Laser Interstitial Thermal Therapy (LITT) has emerged as an effective, minimally invasive alternative to conventional resective surgery for managing mesial temporal lobe epilepsy (mTLE). As LITT enables precise targeting of the epileptic zone, its adoption in clinical practice increased. Given expanding use, it is paramount address whether not only provides benefits but also offers a cost-effective solution compared treatment usual (TAU) management with antiepileptic drugs....

10.1227/neu.0000000000003360_1041 article EN Neurosurgery 2025-03-14

Explaining the influence of data instances (materials) to predictions such as structure/property relationships in materials informatics can complement structural feature importance profiling, and guide generation, cleaning, verification.

10.1039/d3dd00171g article EN cc-by-nc Digital Discovery 2024-01-01

The combination of rational machine learning with creative materials science makes informatics a powerful way discovering, designing, and screening new materials. However, moving from promising prediction to practical strategy often requires more than just an instructive structure-property relationship; understanding how method uses the structural feature predict target properties becomes critical. Explainable artificial intelligence (XAI) is emerging field in computer based statistics that...

10.1016/j.xcrp.2023.101630 article EN cc-by Cell Reports Physical Science 2023-10-01

Abstract We compared the regulation of NaCl cotransporter (NCC) in adaptation to a low-K (LK) diet male and female mice. measured hydrochlorothiazide (HCTZ)-induced changes urine volume (UV), glomerular filtration rate (GFR), absolute (ENa, EK), fractional (FENa, FEK) excretion mice on control-K (CK, 1% KCl) LK (0.1% diets for 7 days. With CK, NCC-dependent ENa FENa were larger females than males as observed previously. However, with LK, HCTZ-induced increased but not females, abolishing sex...

10.1007/s00424-021-02611-5 article EN cc-by Pflügers Archiv - European Journal of Physiology 2021-08-29

Abstract Motivation: G → A hypermutation is an innate antiviral defense mechanism, mediated by host enzymes, which leads to the mutational impairment of viruses. Sensitive and specific identification host-mediated a novel sequence analysis challenge, particularly for viral deep sequencing studies. For example, two most common hepatitis B virus (HBV) reverse transcriptase (RT) drug-resistance mutations, A181T M204I, arise from changes are routinely detected as low-abundance variants in nearly...

10.1093/bioinformatics/btq570 article EN Bioinformatics 2010-10-11

Abstract This work presents an alternative model-agnostic attribution method to compute feature importance rankings for high dimensional data requiring dimension reduction. We make use of Shapley values within the additive explanation framework determine each in set. then demonstrate that it is possible significantly reduce computational complexity ranking features spaces by first applying principal component analysis. transformation into lower conjunction with our normalisation approach...

10.1088/2632-2153/ac0167 article EN cc-by Machine Learning Science and Technology 2021-05-14

In rats fed a diet rich in K + , proximal tubules reabsorbed less fluid, Na and compared with those animals on control diet. Glomerular filtration rates also decreased, probably due to glomerulotubular feedback. These reductions may help maintain balance of the two ions simultaneously by shifting reabsorption -secreting nephron segments.

10.1152/ajprenal.00013.2023 article EN AJP Renal Physiology 2023-06-15

Understanding the human brain in both healthy function and context of psychiatric illness presents a formidable technical analytic challenge for medical researchers. Multi-modal data, including imaging, molecular clinical measures provide lenses through which brain's structure, function, expression behavioral presentation can be studied. While directed integration complementary information promises to accelerate discovery identify cross-modal biomarkers stratification, diagnosis treatment,...

10.3389/fninf.2018.00077 article EN cc-by Frontiers in Neuroinformatics 2018-11-06

Over the past few years Angry Birds AI competition has been held in an attempt to develop intelligent agents that can successfully and efficiently solve levels for video game Birds. Many different strategies have developed complex challenging physical reasoning problems associated with such a game. However none of these one key which humans employ levels, is restarting levels. Restarting important because sometimes level no longer solvable or some given shot made little benefit towards...

10.1109/cig.2019.8848039 article EN 2021 IEEE Conference on Games (CoG) 2019-08-01
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