Building the Operating System for Time-Aware Biology
TemporalBio exists to transform how researchers think about, design, and analyze biological studies by making temporal dynamics a first-class consideration—not an afterthought.
Despite decades of progress in molecular biology, drug development success rates remain stubbornly low. A major reason: we're asking the right questions at the wrong times.
TemporalBio provides the tools, frameworks, and AI assistance researchers need to:
The concept for TemporalBio emerged from a simple observation: every breakthrough in precision medicine came from understanding when things happen, not just what happens.
When checkpoint inhibitors first entered oncology, researchers focused on traditional endpoints: tumor size at Week 8, progression-free survival, overall survival. But the real breakthrough came when investigators started measuring immune activation within 3-7 days.
This early temporal window (T1) predicted which patients would benefit months later (T3)—but most trials weren't looking there. They were focused exclusively on T2 (weeks-to-months), missing the predictive signal hiding in plain sight at an earlier temporal scale.
This pattern repeats across therapeutic areas: GLP-1 drugs, CAR-T therapies, Alzheimer's interventions, heart failure treatments. The winners are those who understand the temporal cascade.
TemporalBio was created to make this temporal thinking systematic, accessible, and scalable for all researchers.
Not just another analysis tool. A complete ontology (T0-T6) for understanding and organizing biological time across seven interconnected scales.
TRS Agent evaluates your study design and provides specific, actionable recommendations—like having a temporal biology expert on your team 24/7.
Built on real case studies spanning oncology, immunology, metabolism, neuroscience, and cardiology. Not theoretical—battle-tested.
Coming analytical toolkit for dynamic time warping, wavelet analysis, causal inference, and other temporal methods—ready to use, no PhD required.
Growing library of case studies, methods, and best practices contributed by researchers worldwide. Open science approach to temporal biology.
Continuous updates based on new research, user feedback, and emerging temporal patterns across therapeutic areas. The framework grows with the field.
TemporalBio is developed by Scientari, a consultancy focused on bringing innovative frameworks and AI tools to life sciences research.
Scientari specializes in identifying critical gaps in how life sciences research is conducted and building practical solutions that researchers actually want to use. We focus on:
We envision a world where temporal thinking is as fundamental to biological research as statistical significance is today. Where every study design considers temporal dynamics from the start. Where researchers routinely ask "what temporal scales matter here?" before writing their first protocol.
TemporalBio is built by and for the research community. Whether you're using the framework in your work, contributing case studies, or just following along—we'd love to hear from you.
We're grateful to work with leading researchers and institutions advancing temporal biology.
Partnerships and academic collaborations in development. Interested in collaborating? Get in touch.