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20242026
most citedUnderstanding Biology in the Age of Artificial Intelligence

9 citations · 23 across the 11 of their papers we have counts for

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5 papers · 1 filter

math.NA2024

Numerical and Lyapunov-Based Investigation of the Effect of Stenosis on Blood Transport Stability Using a Control-Theoretic PDE Model of Cardiovascular Flow

Shantanu Singh, Nikolaos Bekiaris-Liberis

We perform various numerical tests to study the effect of (boundary) stenosis on blood flow stability, employing a detailed and accurate, second-order finite-volume scheme for nume…

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…

cs.LG2024

MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction

John Arevalo, Ellen Su, Anne E Carpenter +1

Drug-target interaction (DTI) prediction is crucial for identifying new therapeutics and detecting mechanisms of action. While structure-based methods accurately model physical int…

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)…