most citedUnderstanding Biology in the Age of Artificial Intelligence

9 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025★ 1 cited

AI Agents in Drug Discovery

Srijit Seal, Dinh Long Huynh, Moudather Chelbi +17

Artificial intelligence (AI) agents are emerging as transformative tools in drug discovery, with the ability to autonomously reason, act, and learn through complicated research wor…

q-bio.QM2025★ 3 cited

Progress and new challenges in image-based profiling

Erik Serrano, John Peters, Jesko Wagner +19

For over two decades, image-based profiling has revolutionized cell phenotype analysis. Image-based profiling processes rich, high-throughput, microscopy data into thousands of unb…

cs.LG2024★ 7 cited

Learning Molecular Representation in a Cell

Gang Liu, Srijit Seal, John Arevalo +4

Predicting drug efficacy and safety in vivo requires information on biological responses (e.g., cell morphology and gene expression) to small molecule perturbations. However, curre…

q-bio.SC2024★ 3 cited

A Decade in a Systematic Review: The Evolution and Impact of Cell Painting

Srijit Seal, Maria-Anna Trapotsi, Ola Spjuth +5

High-content image-based assays have fueled significant discoveries in the life sciences in the past decade (2013-2023), including novel insights into disease etiology, mechanism o…

cs.AI2024★ 9 cited

Understanding Biology in the Age of Artificial Intelligence

Elsa Lawrence, Adham El-Shazly, Srijit Seal +6

Modern life sciences research is increasingly relying on artificial intelligence approaches to model biological systems, primarily centered around the use of machine learning (ML)…