Researchers spent months scouring medical literature. GenAI now mines insights in minutes, accelerating cancer test development.
A global leader in cell-free DNA testing processes over 54,000 tests weekly, generating approximately 1.6 petabytes of complex genomic data across two labs.
Data silos and manual workflows consumed valuable resources, forcing researchers to spend months reviewing medical literature for new test...
“Our aim is to transform the management of disease, worldwide. This is a bold statement, but our mission is to make personalized genetic testing a standard of care for patients. We can help our patients live longer, healthier lives with more information about their health, and more targeted interventions.”
Cell-free DNA testing and diagnostics for oncology, women’s health, and organ health.
Cloud computing platform and on-demand infrastructure services.
Natera's Genomic data analysis is part of this use case:
Related implementations across industries and use cases
Experts manually sifted 100k cases. Now, AI parses literature and highlights source text, speeding up time-sensitive diagnoses.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Experts manually sifted 100k cases. Now, AI parses literature and highlights source text, speeding up time-sensitive diagnoses.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Every HCP response required manually searching regulated literature. Now agents surface cited answers from 3,100+ medical documents.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Researchers spent months scouring medical literature. GenAI now mines insights in minutes, accelerating cancer test development.
A global leader in cell-free DNA testing processes over 54,000 tests weekly, generating approximately 1.6 petabytes of complex genomic data across two labs.
Data silos and manual workflows consumed valuable resources, forcing researchers to spend months reviewing medical literature for new test...
“Our aim is to transform the management of disease, worldwide. This is a bold statement, but our mission is to make personalized genetic testing a standard of care for patients. We can help our patients live longer, healthier lives with more information about their health, and more targeted interventions.”
Cell-free DNA testing and diagnostics for oncology, women’s health, and organ health.
Cloud computing platform and on-demand infrastructure services.
Natera's Genomic data analysis is part of this use case:
Related implementations across industries and use cases
Experts manually sifted 100k cases. Now, AI parses literature and highlights source text, speeding up time-sensitive diagnoses.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Experts manually sifted 100k cases. Now, AI parses literature and highlights source text, speeding up time-sensitive diagnoses.
Matching phages required screening trillions of options. Gen AI simulates interactions, cutting discovery from 10 years to 2 months.
Every HCP response required manually searching regulated literature. Now agents surface cited answers from 3,100+ medical documents.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.