How Startup Biotech & Life Sciences CEO & Founders Actually Make Decisions

• •deriving meaning and actionability from genomic data
• •finding disease early before symptoms appear
• •improving positive predictive value of blood tests
• •building effective teams with limited resources
• •enabling crops to communicate their needs through genetic modification

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• •lack of clear guidance for doctors on what to do with new blood tests
• •multiple cancer types require multiple solutions, not one-size-fits-all drug discovery
• •eye infections can lead to blindness globally and require hospitalization
• •high false positive rates in existing diagnostic methods like mammography
• •misinterpretation of genetic test results leading to patient harm

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• •customer progression from pilots to commercial agreementsNew
• •adoption of co-pilot tools across research, communications, and coding functions
• •false positive rate of mammography (50%)
• •half a billion dollars - myriad's acquisition of asuric
• •20% of their tests reimbursed - asterix call's reimbursement rate

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• •cost-benefit analysis: comparing current patient costs ($14k/year insulin, $1m+ comorbidities) with proposed one-time curative procedure ($25k-$100k)
• •technological acceleration: leveraging new technologies available today that weren't available five years ago
• •partnership structure necessity - recognizing infrastructure gaps that require external partners rather than internal capability building
• •contextual interpretation: putting genetic information in context of condition, family history, and other tests
• •access lens: ensuring solutions are 'accessible to all'

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• •low positive predictive value leading to unnecessary scans/biopsies
• •timing mismatch: approaching companies before lead optimization phase wastes energyNew
• •significant decrease in quality of life for daily insulin management
• •companies not actively testing and playing with new ai tools and techniques
• •operating in isolation without partnership and ecosystem engagement

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