activity
20122026
most citedMachine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties

582 citations · 1.2k across the 19 of their papers we have counts for

collaborators

22 papers

cs.CL2026

EMBL AI Librarian: Life-Sciences Knowledge Layer for AI Agents

Luigi Sigillo, Matteo Silvestri, Francesco Tabaro +9

The web is increasingly accessed by AI agents rather than humans. Every agent needs knowledge, especially in the life-sciences, where agentic pipelines are growing fast. Access to…

q-bio.QM2025

Robust multicellular programs dissect the complex tumor microenvironment and track disease progression in colorectal adenocarcinomas

Loan Vulliard, Teresa Glauner, Sven Truxa +8

Colorectal cancer (CRC) is highly heterogeneous, with five-year survival rates dropping from 90% in localized disease to 15% with distant metastases. Disease progressio…

cs.LG2025

Benchmarking and Evaluation of AI Models in Biology: Outcomes and Recommendations from the CZI Virtual Cells Workshop

Elizabeth Fahsbender, Alma Andersson, Jeremy Ash +32

Artificial intelligence holds immense promise for transforming biology, yet a lack of standardized, cross domain, benchmarks undermines our ability to build robust, trustworthy mod…

q-bio.TO2024★ 7 cited

Complementing cell taxonomies with a multicellular functional analysis of tissues

Ricardo Omar Ramirez Flores, Philipp Sven Lars Schäfer, Leonie Küchenhoff +1

The application of single-cell molecular profiling coupled with spatial technologies has enabled charting cellular heterogeneity in reference tissues and in disease. This new wave…

q-bio.MN2024

Molecular causality in the advent of foundation models

Sebastian Lobentanzer, Pablo Rodriguez-Mier, Stefan Bauer +1

Correlation is not causation. As simple as this widely agreed-upon statement may seem, scientifically defining causality and using it to drive our modern biomedical research is imm…

cs.LG2023

AI Competitions and Benchmarks: The life cycle of challenges and benchmarks

Gustavo Stolovitzky, Julio Saez-Rodriguez, Julie Bletz +4

Data Science research is undergoing a revolution fueled by the transformative power of technology, the Internet, and an ever increasing computational capacity. The rate at which so…