Article

Pillbox: A Leakage-Aware Foundation-Model Predictor and Lineage-Ceiling Diagnostic for Cancer Drug Response

2026-06-11

Abstract excerpt

We present Pillbox, a predictor whose pipeline is audited against the six Asiaee leakage modes with the one residual pathway shown by per-fold ablation to be non-load-bearing on hard splits. Our model combines CpGPT methylation embeddings, CLAMP drug embeddings, and per-fold-fit gene-expression principal components which are fused by Feature-wise Linear Modulation (FiLM)-conditioned graph attention on the STRING v...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 514cae7a-769a-5454-8b1a-c44286888931
DOI: 10.64898/2026.06.08.725572

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Pillbox: A Leakage-Aware Foundation-Model Predictor and Lineage-Ceiling Diagnostic for Cancer Drug ResponseDOI 10.64898/2026.06.08.725572Read

From Hype to Health Check: Critical Evaluation of Drug Response Prediction Models with DrEvalSemantic proximity Read

Tahoe-x1: Scaling Perturbation-Trained Single-Cell Foundation Models to 3 Billion ParametersSemantic proximity Read

Cancer Cell Line Heterogeneity Imposes a Primary Bottleneck for Virtual Perturbation Screening at ScaleSemantic proximity Read

UniCure: A Foundation Model for Predicting Personalized Cancer Therapy ResponseSemantic proximity Read

Percolate: an exponential family JIVE model to design DNA-based predictors of drug responseSemantic proximity Read

CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancerSemantic proximity Read

A Clear, Legible, Explainable, Transparent, and Elucidative (CLETE) Binary Classification Platform for Tabular DataSemantic proximity Read

RevPert: ranking candidate drivers of transcriptomic state transitions via gallery-native reverse perturbationSemantic proximity Read

Class-Support Mismatch Dominates Protocol-Driven Optimism in Spatial Transcriptomics, with a Larger Residual Penalty for Graph Neural NetworksSemantic proximity Read

Weak supervision of H&E slides reveals systems-level biology and functional states that govern therapeutic resistanceSemantic proximity Read

Cell-CLIP: Multi-algorithm causal discovery of directed cell program interaction networks from single-cell transcriptomicsSemantic proximity Read

Pan-Cancer Drug Sensitivity Prediction from Gene Expression using Deep LearningSemantic proximity Read