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AASLD 2025

InSphero is attending AASLD 2025!

Don’t miss the chance to connect with us at AASLD 2025, a leading conference for experts, professionals and scientists who are eager to explore the latest breakthroughts in hepatology research and learn more about our 3D in vitro liver disease solutions. 

The Liver Meeting, hosted by the American Association for the Study of Liver Disease, will take place from Friday, November 7th to Tuesday, November 11th in Washington D.C.

AASLD 2025
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Our Team
Scientific Poster
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Meet our Team at Drug Discovery 2025

Francisco Verdeguer

Francisco Verdeguer, PhD

Vice President, Liver Disease

Arnab China, PhD

Business Development Manager

Scientific Poster at AASLD 2025

The lipid synthesis inhibitors ACC (Firsocosat) and DGAT2 (Ervogastat) reduce triglyceride content independently, but only Ervogastat also reduces fibrosis biomarkers in human liver spheroids

Date: Monday, November 10th, 2025 | 8:00 am – 5:00 pm  

Poster Number: 4079

Francisco Verdeguer

Francisco Verdeguer, PhD

Vice President, Liver Disease

AASLD 2025 Resources

  • Poster
The dual integrin inhibitor Bexotegrast, indicated for idiopathic pulmonary fibrosis, shows an anti-fibrotic phenotype in human MASH liver spheroids
  • Poster
Evaluation of drug-induced liver injury of Trovafloxacin and Chlorpromazine in human InSight™ 3D MASLD spheroid model
  • Poster
The lipid synthesis inhibitors ACC (Firsocosat) and DGAT2 (Ervogastat) reduce triglyceride contentindependently, but only Ervogastat also reduces fibrosis biomarkers in human liver spheroids
  • Poster
Machine learning-based, label-free detection of anti-fibrotic effects in a 3D retinal fibrosis model using bright-field imaging
  • Poster
Application of InSight™ human 3D MASLD/MASH spheroid models for DILI assessment of compounds
  • Poster
Screening and comparison of current clinical candidates and various modalities in MASH using human liver spheroids
  • Poster
Scalable 3D Cell Culture-based Retinal Fibrosis Model for Efficacy Testing
  • Poster
Digital pathology with artificial intelligence analysis provides insight to the efficacy of anti-fibrotic compounds in human 3D MASH model
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