Tempus AI in Precision Medicine Quiz

Answers and explanations appear as you take the quiz.

1. What is the central goal of precision medicine as Tempus practices it?
   • Matching treatment to the biology of an individual's disease
   • Giving every patient the same standard treatment
   • Replacing doctors with software
   • Reducing the number of lab tests run
2. What kind of data does Tempus combine to power its models?
   • Only billing records
   • Multimodal data: genomics, pathology images, and clinical records
   • Social media posts
   • Weather and location data
3. In oncology, what does Tempus do after sequencing a tumor?
   • Discards the genetic data
   • Bills the patient automatically
   • Connects actionable mutations to therapies and trials
   • Sends the sample to a museum
4. Why is structuring clinical data a major part of Tempus's work?
   • Because data is already perfectly clean
   • Because models prefer unlabeled data
   • Because regulators forbid structured data
   • Because much of it starts as messy free text and images
5. Beyond oncology, where has Tempus expanded?
   • Cardiology, neurology, and infectious disease
   • Veterinary surgery only
   • Dental cosmetics
   • Sports nutrition
6. What is a key constraint on the growth of AI precision medicine?
   • Too little patient data exists anywhere
   • Data quality, equitable representation, and regulatory validation
   • AI cannot read any medical data
   • Doctors refuse to use computers
7. What can linking molecular profiles with real-world clinical outcomes help Tempus researchers study?
   • Whether a patient's voice matches a specific clinician
   • The exact result of every future treatment before it is given
   • Associations between tumor biology, treatments, and patient outcomes
   • How to replace all pathology and clinical review
8. How does Tempus describe its patient records for some research offerings?
   • Publicly named records that anyone can download
   • Only fictional records generated by a chatbot
   • Records that contain no clinical or molecular information
   • De-identified records that researchers can use to explore and validate hypotheses