Search life sciences software.

by Veradigm

NLP-enriched EHR data from 150+ million patient records, curated for life sciences research across therapeutic areas.

by Veradigm

Real-world evidence analytics and cohort building for EHR data exploration using OMOP standards.

by Veradigm

Real-world data analysis and research services for retrospective and prospective studies, from EHR and claims data to clinical registries.

by PointClickCare

Real-world clinical dataset from long-term care facilities with 50+ daily data points per patient for health economics research, trial feasibility, and post-market surveillance.

by PointClickCare

Commercial insights and market intelligence for long-term care, tracking diagnoses, therapies, and prescribing patterns across U.S. facilities.

by BioSistemika

Automated qPCR data analysis and interpretation for diagnostic labs, with assay-specific logic, structured review, and LIS/LIMS integration.

by Novaflow

Automated bioinformatics analysis for biology labs, no coding required.

by Clarida

Reproducible qPCR workflow from experiment design to publication-ready results, built on peer-reviewed MIQE guidelines.

by Century Health

Clinical registry datasets with AI-abstracted variables for drug development and real-world evidence studies across metabolic, neurology, immunology, ophthalmology, renal, and respiratory conditions.

by ModelMole

Physics-based AI for autonomous molecular design, discovering novel drug candidates beyond training data limitations.

by Helena Bioinformatics

Variant classification and prioritization for clinical genomics, processing whole genomes in under 10 minutes with AI-native interpretation.

by Helena Bioinformatics

Biomedical literature discovery with source-backed entity mentions and provenance tracking for research questions.

by SciY

Cloud-based electronic laboratory notebook for chemistry and biology teams to capture, search, and collaborate on experiments with 21 CFR Part 11 compliance.

by AIPOCH

Local-first AI research workbench with agents, Python/R execution, scientific connectors, and traceable artifacts for evidence synthesis and data analysis.