Yasaman Vali

ORCID: 0000-0001-7002-118X
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About
Contact & Profiles
Research Areas
  • Liver Disease Diagnosis and Treatment
  • Liver Disease and Transplantation
  • Liver Diseases and Immunity
  • Meta-analysis and systematic reviews
  • Hepatitis C virus research
  • Reliability and Agreement in Measurement
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Artificial Intelligence in Healthcare and Education
  • Health Systems, Economic Evaluations, Quality of Life
  • Pancreatitis Pathology and Treatment
  • Neonatal and fetal brain pathology
  • Prenatal Substance Exposure Effects
  • Trauma and Emergency Care Studies
  • Traumatic Brain Injury Research
  • Endoplasmic Reticulum Stress and Disease
  • Statistical Methods in Clinical Trials
  • Hepatitis B Virus Studies
  • Frailty in Older Adults
  • Academic Writing and Publishing
  • Clinical practice guidelines implementation
  • Physical Activity and Health
  • COVID-19 diagnosis using AI
  • Chronic Disease Management Strategies
  • Hepatitis Viruses Studies and Epidemiology
  • Lipid metabolism and disorders

University of Amsterdam
2020-2025

Amsterdam University Medical Centers
2020-2025

Public Health Service of Amsterdam
2023

Centraal Bureau voor de Statistiek
2022

Amsterdam UMC Location University of Amsterdam
2021

Zero to Three
2020

Tehran University of Medical Sciences
2012-2017

Imperial College London
2017

Brunel University of London
2016

Università Cattolica del Sacro Cuore
2016

Michèle Vacca Ioannis Kamzolas Lea Mørch Harder Fiona Oakley Christian Trautwein and 95 more Maximilian Hatting Trenton T. Ross Barbara Bernardo Anouk Oldenburger Sara Toftegaard Hjuler Iwona Ksiazek Daniel Lindén Detlef Schuppan Sergio Rodrı́guez-Cuenca Maria Manuela Tonini Tamara R. Castañeda Aimo Kannt Cecília M. P. Rodrigues Simon Cockell Olivier Govaere Ann K. Daly Michael Allison Kristian Honnens de Lichtenberg Yong Ook Kim Anna Lindblom Stephanie Oldham Anne‐Christine Andréasson Franklin Schlerman Jonathon Marioneaux Arun J. Sanyal Marta B. Afonso Ramy Younes Yuichiro Amano Scott L. Friedman Shuang Wang Dipankar Bhattacharya Eric J. Simon Valérie Paradis Alastair D. Burt Ioanna Maria Grypari Susan Davies Ann Driessen Hiroaki Yashiro Susanne Elisabeth Pors M Andersen Michael Feigh Carla Yunis Pierre Bédossa Michelle Stewart Heather Cater Sara Wells Jörn M. Schattenberg Quentin M. Anstee Quentin M. Anstee Ann K. Daly Simon Cockell Dina Tiniakos Pierre Bédossa Alastair D. Burt Fiona Oakley Heather J. Cordell Christopher P. Day Kristy Wonders Paolo Missier Matthew McTeer Luke Vale Yemi Oluboyede Matt Breckons Jo Boyle Patrick M. Bossuyt Hadi Zafarmand Yasaman Vali Jenny Lee Max Nieuwdorp Adriaan G. Holleboom Athanasios Angelakis Joanne Verheij Vlad Ratziu Karine Clément Rafael Patiño‐Navarrete Raluca Pais Valérie Paradis Detlef Schuppan Jörn M. Schattenberg Rambabu Surabattula Sudha Rani Myneni Yong Ook Kim Beate K. Straub António Vidal-Puig Michèle Vacca Sergio Rodrigues-Cuenca Mike Allison Ioannis Kamzolas Evangelia Petsalaki Mark Campbell Chris Lelliott Nathan Davies Matej Orešič Tuulia Hyötyläinen Aidan McGlinchey

Abstract Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as non-alcoholic fatty disease, encompasses steatosis and metabolic steatohepatitis (MASH), leading to cirrhosis hepatocellular carcinoma. Preclinical MASLD research is mainly performed in rodents; however, the model that best recapitulates human yet be defined. We conducted a wide-ranging retrospective review (metabolic phenotype, histopathology, transcriptome benchmarked against humans) of murine...

10.1038/s42255-024-01043-6 article EN cc-by Nature Metabolism 2024-06-12

ABSTRACT Background and Aims The performance of non‐invasive liver tests (NITs) is known to vary across settings subgroups. We systematically evaluated whether the three NITs in detecting advanced fibrosis patients with metabolic dysfunction‐associated steatotic disease (MASLD) varies age, sex, body mass index (BMI), type 2 diabetes mellitus (T2DM) status or enzymes. Methods Data from 586 adult LITMUS Metacohort participants histologically characterised MASLD were included. diagnostic...

10.1111/liv.16240 article EN cc-by Liver International 2025-01-24
Katherine Johnson Peter Leary Olivier Govaere Matthew J. Barter Sarah Charlton and 95 more Simon Cockell Dina Tiniakos Michalina Zatorska Pierre Bédossa M. Julia Brosnan Jeremy Cobbold Mattias Ekstedt Guruprasad P. Aithal Karine Clément Jörn M. Schattenberg Jérôme Boursier Vlad Ratziu Elisabetta Bugianesi Quentin M. Anstee Ann K. Daly James Clark Heather J. Cordell Rebecca Darlay Christopher P. Day Timothy Hardy Yang‐Lin Liu Fiona Oakley Jeremy M. Palmer Rachel Queen Kristy Wonders Patrick M. Bossuyt Adriaan G. Holleboom Hadi Zafarmand Yasaman Vali Jenny Lee Karine Clément Raluca Pais Detlef Schuppan Michael Allison Sergio Rodriguez Cuenca Vanessa Pellegrinelli Michèle Vacca António Vidal-Puig Tuulia Hyötyläinen Aidan McGlinchey Matej Orešič Partho Sen José M. Mato Óscar Millet Jean‐François Dufour Stephen A. Harrison Stefan Neubauer Michael Pavlides Ferenc E. Mózes Salma Akhtar Rajarshi Banerjee Matt Kelly Elizabeth Shumbayawonda Andrea Dennis Charlotte Erpicum Manuel Romero‐Gómez Rocío Gallego‐Durán Isabel Fernández-Lizaranzu M.A. Karsdal Jenny Lee Mette Juul Fisker Elisabeth Erhardtsen Daniel Guldager Kring Rasmussen Per Qvist Antonia Sinisi Estelle Sandt Maria Manuela Tonini Maurizio Parola Chiara Rosso Fabio Marra Amalia Gastaldelli Sven Francque Stergios Kechagias Hannele Yki‐Järvinen Kimmo Porthan Saskia W. C. van Mil George Papatheodoridis Helena Cortez‐Pinto Luca Valenti Salvatore Petta Luca Miele Andreas Geier Christian Trautwein Paul Hockings Philip N. Newsome David Wenn Cecília M. P. Rodrigues Rémy Hanf Pierre Chaumat Christian Rosenquist Aldo Trylesinski Pablo A. Ortiz Kevin L. Duffin Carla Yunis Melissa Miller

Serum microRNA (miRNA) levels are known to change in non-alcoholic fatty liver disease (NAFLD) and may serve as useful biomarkers. This study aimed profile miRNAs comprehensively at all NAFLD stages.

10.1016/j.jhepr.2021.100409 article EN cc-by-nc-nd JHEP Reports 2021-11-25

Detecting NASH remains challenging, while at-risk (steatohepatitis and F≥ 2) tends to progress is of interest for drug development clinical application. We developed prediction models by supervised machine learning techniques, with data biomarkers stage grade patients NAFLD.Learning were collected in the Liver Investigation: Testing Marker Utility Steatohepatitis metacohort (966 biopsy-proven NAFLD adults), staged graded according CRN. Conditions trial definition (NAS ≥ 4;53%), (NASH F...

10.1097/hep.0000000000000364 article EN Hepatology 2023-03-30

Introduction Many diagnostic accuracy studies are never reported in full a peer‐reviewed journal. Searching for unpublished may avoid bias due to selective publication, enrich the power of systematic reviews, and thereby help reduce research waste. We assessed searching practices among recent reviews accuracy. Methods extracted data from 100 non‐Cochrane indexed MEDLINE published between October 2017 January 2018 all Cochrane by December 2018, irrespective whether meta‐analysis had been...

10.1002/jrsm.1389 article EN cc-by Research Synthesis Methods 2020-01-25
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