Nature Search

A benchmark of expert-level academic questions to assess AI capabilities

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Long Phan
Alice Gatti
Davide Scaramuzza
ResearchOpen Access28 Jan 2026
Nature

Volume: 649, P: 1139-1146
A versatile information retrieval framework for evaluating profile strength and similarity

Profiling assays measure thousands of features to uncover biological insights but lack reliable methods for quality evaluation. Here, the authors develop a versatile information retrieval framework to robustly quantify sample activity and similarity in large-scale profiling data.

Alexandr A. Kalinin
John Arevalo
Shantanu Singh
ResearchOpen Access04 Jun 2025
Nature Communications

Volume: 16, P: 1-17
Reproducible image-based profiling with Pycytominer

Pycytominer is a user-friendly, open-source Python package that carries out key bioinformatics steps in image-based profiling.

Erik Serrano
Srinivas Niranj Chandrasekaran
Gregory P. Way
Research03 Mar 2025
Nature Methods

Volume: 22, P: 677-680
Morphological map of under- and overexpression of genes in human cells

This Resource presents the genetic subset of the 136,000 chemical and genetic perturbations tested by the Joint Undertaking for Morphological Profiling (JUMP) Cell Painting Consortium and associated analysis of phenotypic profiles.

Srinivas Niranj Chandrasekaran
Eric Alix
Anne E. Carpenter
Research07 Aug 2025
Nature Methods

Volume: 22, P: 1742-1752
Publisher Correction: 3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification

Alexandr A. Kalinin
Ari Allyn-Feuer
Ivo D. Dinov
Amendments and CorrectionsOpen Access26 Oct 2018
Scientific Reports

Volume: 8, P: 1
Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations

The CPJUMP1 Resource comprises Cell Painting images and profiles of 75 million cells treated with hundreds of chemical and genetic perturbations. The dataset enables exploration of their relationships and lays the foundation for the development of advanced methods to match perturbations.

Srinivas Niranj Chandrasekaran
Beth A. Cimini
Anne E. Carpenter
ResearchOpen Access09 Apr 2024
Nature Methods

Volume: 21, P: 1114-1121
3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification

Alexandr A. Kalinin
Ari Allyn-Feuer
Ivo D. Dinov
ResearchOpen Access12 Sept 2018
Scientific Reports

Volume: 8, P: 1-14
Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease

Chao Gao
Hanbo Sun
Ivo D. Dinov
ResearchOpen Access08 May 2018
Scientific Reports

Volume: 8, P: 1-21

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