Negev Labs' molecule showed potential beyond its original indication. The question was:
"What other symptom domains could this mechanism address—based on how similar drugs are used in real-world practice?"
Traditionally, this means commissioning systematic literature reviews, accessing multiple data vendors, and running multi-site EHR studies — processes that take 12–16 months and require seven-figure budgets. Datahub collapsed that cycle into weeks, without sacrificing scientific rigor.
Brainify.AI's end-to-end AI data platform that integrates modeling, data management, visualization, and multimodal brain dataset.
200 million medical notes connected with brain activity signals (EEG), ECG, vitals, and laboratory data in a unified, AI-ready structure.
Identifies patterns of real-world use across therapies with related biological mechanisms, including their off-label utilization.
Using analog mapping, Datahub isolated therapies with similar mechanisms to Negev Labs' compound and extracted their off-label real-world use.
The platform's AI models processed both structured and unstructured data — brain-activity signals, notes, and labs — to detect symptom clusters.
Results were synthesized into a ranked map of the most promising symptoms.
< 4 weeks
Delivered decision-ready insights in under four weeks, versus 12–16 months through conventional research.
$250-400k saved
Saved an estimated $250k–$400k in combined analyst labor, data-access fees, and external vendor costs.
Data-driven
Provided data-driven hypotheses on symptom domains guiding R&D prioritization.
Unified Scale
200M
medical notes provide longitudinal clinical context alongside brain activity and clinical outcomes, eliminating data-sourcing bottlenecks.
Proprietary models decode brain signals alongside text and labs, revealing non-obvious therapeutic correlations.
Real-time analytics allowed Negev Labs to test hypotheses, refine focus, and receive ranked results in a single sprint.
Datahub's analytics align directly with neurobiological mechanisms, bridging exploratory data and experimental validation.
Negev Labs' collaboration with Brainify.AI demonstrates how AI-native data infrastructure transforms exploratory neuroscience R&D. With the Datahub platform — connecting population-scale brain data with 200 million medical notes — biotech teams can move from hypothesis to mechanism-ready insights in weeks, not years.