National University of Singapore · Yong Loo Lin School of Medicine

Advancing the science of metabolic and liver disease.

We investigate the full spectrum of metabolic and hepatic disease, from molecular mechanism to clinical care, integrating laboratory science, multiomics, international clinical consortia, and applied artificial intelligence within a single research programme.

2025
Established March 2025 and formalised as a structured collaborative in March 2026
65
Core members in Singapore across wet laboratory, computational, clinical, and trials teams
100+
Colleagues and clinical partners in the wider international network
25+
Institutional partners across four continents and more than twelve countries
i · Research

A single connected research engine

Data generation, computation, laboratory validation, and clinical study are operated as one continuous loop rather than as separate activities. Each capability feeds the next, so that a computational signal can be tested in our own laboratory and returned to the clinic without external dependency.

Stage one
Transformative data
Stage two
Applied artificial intelligence
Stage three
Applied bioinformatics
Stage four
Transformative studies
Findings from stage four return to stage one, closing the loop.
01

Laboratory investigation

We study cellular and molecular mechanisms of metabolic and liver disease using hepatocyte organoids, induced pluripotent stem cell tri culture systems, dietary animal models, and multiomic platforms, examining how metabolic stress, alcohol exposure, and immune dysregulation drive fibrosis, inflammation, and malignant transformation.

02

Translational research

We translate laboratory insight into clinical application: discovering blood based biomarkers of lipotoxicity, fibrosis, and oncogenic signalling, and identifying therapeutic targets that support early detection and surveillance for patients at risk of cirrhosis and liver cancer.

03

Clinical programme

Through multicentre collaboration across East and Southeast Asia, we integrate imaging, laboratory, and lifestyle data from patients with steatotic liver disease, alcohol related liver disease, cirrhosis, hepatocellular carcinoma, and cardiovascular risk, informing clinical decisions appropriate to the region.

04

Artificial intelligence and bioinformatics

We apply machine learning to integrated biological, clinical, and imaging datasets in order to forecast disease progression, and we use multiomic integration and human genetics methods, including Mendelian randomisation, to establish causal direction rather than association alone.

ii · Capabilities

From tissue to trial, within our own infrastructure

Seven capabilities are operated by our own teams. Together they allow discovery, translation, and clinical validation to proceed continuously, and permit turnaround from computational hypothesis to laboratory confirmation in a matter of weeks.

i

Tissues

Collection and banking of patient specimens

ii

In vitro

Organoid and cellular model systems

iii

In vivo

Dietary and metabolic animal models

iv

Bioinformatics

Multiomic integration platforms

v

Computation

Machine learning and predictive modelling infrastructure

vi

Clinical

Multicentre observational programmes

vii

Trials

Dedicated randomised trials team

note

Wet laboratory

Active pipeline under embargo pending publication and filings. We are glad to discuss bilaterally under appropriate agreement.

iii · Data

A deep and multimodal data resource

Our data holdings span several institutional review board approvals and projects, ranging from established liver multiomics to an expanding prospective tissue and metabolic biobank, together with population-scale registry data and new datasets in build for 2027.

Liver multiomics, generated

Paired longitudinal sampling with matched spatial and single cell resolution across the gut, liver, and muscle axis.

RNA sequencing Single cell transcriptomics Spatial transcriptomics Paired biopsy Lipidomics Metabolomics Bile acid profiling

Prospective metabolic cohort

Two hundred patients characterised deeply and observed over three years, combining imaging, physiology, and molecular measurement.

Whole genome sequencing Multiomics Biofluids Magnetic resonance imaging Carotid ultrasound and echocardiography Mixed meal tolerance testing Physical performance Dietary assessment Clinical outcomes

NEXUS · National registry cohort

Longitudinal, population-scale data on 1.7 million people in Singapore, drawn from the national registry.

National registry 1.7 million people Longitudinal follow-up Population scale

In development · 2027

Two datasets now in build: the CKM DataFrame spanning cardiovascular, kidney, and metabolic disease, and a dedicated alcoholic liver disease dataset.

CKM DataFrame Alcoholic liver disease Slated for 2027
iv · Clinical consortia

Four investigator led networks

Our investigators lead four multicentre consortia spanning nearly fifty sites across Asia and beyond, providing the clinical scale required for biomarker discovery, model training, and definitive trials.

CORE
22 sites · global
Cirrhosis Outcome and Research Endeavour

Patients with compensated cirrhosis of any aetiology, characterised by elastography and followed for decompensation and mortality outcomes.

LiNK
11 sites · global
Liver Immunology Network

Patients with primary biliary cholangitis meeting standard diagnostic criteria across biochemistry, autoantibody profile, and histology.

IMAGINE
10 sites · Asia
Artificial intelligence integration of metabolic fat and muscle mapping

Any patient with abdominal magnetic resonance imaging. Analysis is performed at the participating site, so no image transfer is required.

ALON
6 sites · Asia
Asia Pacific Liver Oncology Network

Primary liver cancer diagnosed between 2016 and 2025, confirmed by standardised imaging criteria or by histology.

v · Record

Training through publication

Medical students and junior trainees lead their own studies under tiered mentorship from senior students and faculty. The model is judged by what it produces.

84%
of rated student involved publications appeared in Scimago first quartile journals across 2025 and the first half of 2026.
  • 2025Eighteen of twenty one rated publications in first quartile journals, spanning hepatology, gastroenterology, and general medicine.
  • 2026, to dateNine of eleven rated publications in first quartile journals in the first half of the year.
  • PresentationStudents have presented by poster and by podium at international meetings in Asia and North America, and engage directly with industry partners in the field.
  • MentorshipTiered supervision runs from faculty through senior peers to junior trainees, and the same structure has been replicated at our partner sites in Japan.
vi · Team

Principal Investigators

We are a multidisciplinary group of clinicians and scientists working at the intersection of liver disease, metabolism, transplantation, radiology, surgery, and cardiology, bridging basic science and clinical care in order to understand disease mechanism, improve diagnosis, and develop targeted therapy.

Prof Mark Muthiah

Principal Investigator · Steatotic liver disease
Google Scholar

Professor Muthiah is a clinician scientist and Professor at NUS Medicine. His research addresses metabolic liver disease, cirrhosis, and liver cancer, with particular attention to biomarker discovery, therapeutic targets, and the translational strategies required to improve patient outcomes.

Asst Prof Cheng Han Ng

Principal Investigator · Sarcopenia
Google Scholar

Assistant Professor Ng is a physician scientist at the National University Health System (NUHS), Singapore. His work concerns sarcopenia in chronic liver disease and the interplay between muscle loss, metabolic dysfunction, and clinical outcome, with publications in The Lancet Gastroenterology and Hepatology and in Cell Metabolism.

Asst Prof Nicholas Syn

Principal Investigator · Hepatocellular carcinoma
Google Scholar

Assistant Professor Syn is the inaugural Dean's Fellow at NUS Medicine and Adjunct Assistant Professor in Biomedical Informatics. He applies biostatistics and machine learning to hepatocellular carcinoma research, with publications in The Lancet Oncology and Nature Communications.

Associate Investigators
Dr Sabrina Quek
Pancreas
A/Prof Alfred Kow
Liver transplantation
Google Scholar
Dr Eunice Tan
Liver transplantation
Google Scholar
Dr Jia Hao Law
Hepatopancreatobiliary surgery, liver transplantation, surgical oncology
Google Scholar
Dr Mei Chin Lim
Radiology
Google Scholar
Dr Margaret Teng
Liver cirrhosis
Dr Benjamin Nah
Alcohol related liver disease and cholestatic disease
LinkedIn
Dr Wesley Cheung
Omics in cardiology
Dr Weiting Huang
Preventive cardiology
vii · International

The Kansou consortium, Singapore and Japan

A multi institutional research partnership across six Japanese universities and medical centres, anchored at Saga University. The name records where the collaboration began, not the limit of its scope: work extends from liver and metabolic disease to sarcopenia, rehabilitation medicine, cardiovascular research, oncology, and clinical epidemiology.

肝創
Kansou · Liver Innovation

The consortium combines pooled access to our four clinical networks, a structured exchange programme with Saga University, and the tiered mentorship model already proven at both sites. A dedicated page describes the partnership in Japanese.

肝創プロジェクト・日本語ページ
viii · Commercialisation

From discovery to patient benefit

To ensure that scientific discovery reaches patients, we pursue commercialisation directly. Through our biotechnology spinout LiverGENIX, a data driven drug discovery platform for liver and metabolic disease, we advance our most promising therapeutic programmes toward the clinic.

Executive Chair
Donna See
Two decades across venture capital, operating roles, and academic translation. Founding chief executive of Xora Innovation. Trustee, National University of Singapore.
Chair, Scientific Advisory Board
Prof Arun J. Sanyal
Director of the Stravitz Sanyal Institute at Virginia Commonwealth University. Past President of the American Association for the Study of Liver Diseases.
Chief Executive Officer
Cheng Han Ng
Physician scientist. Meta research and steatotic liver disease epidemiology.
Chief Technology Officer
Nicholas Syn
Computational scientist. Artificial intelligence driven drug discovery and biostatistics.
Chief Scientific Officer
Damien Chua
Translational biology. Target validation from human tissue.
Chief Medical Officer
Mark Dinesh Muthiah
Hepatologist, NUS Medicine. Clinical translation in metabolic liver disease.
ix · Contact

Enquiries

We welcome enquiries from prospective collaborators, students, postdoctoral researchers, and clinical partners. Correspondence may be addressed directly to the Principal Investigator.

drmarkmuthiah@gmail.com
Yong Loo Lin School of Medicine, National University of Singapore
National University Health System, Singapore