Business
All that glitters is not gold: How healthtech startups can achieve true value
Healthtech is apparently in a golden age. Just a few weeks ago, Livongo and Health Catalyst raised a combined $500 million through IPOs with a joint valuation reaching $3.5 billion. Deals such as these are catalyzing a record-breaking 2019, with digital health deal activity expected to surpass the $8.1 billion invested in 2018.
Amidst such abundance, the digital health ecosystem is thriving: as of 2017, greater than 300,000 mobile applications and 340 consumer wearable devices existed—with 200 new mobile applications added daily. No theme has been more important to this fundraising than artificial intelligence and machine learning (AI/ML), a space which captured more than one-quarter of healthtech funding in 2018.
Yet, how many of these technologies will prove valuable in medical, ethical, or financial terms?
Our research group at Stanford addressed this question by taking a deeper dive into the saying that, in AI/ML, “garbage in equals garbage out.” We did this by distinguishing digital health algorithms leveraging AI/ML from their underlying training data, documenting the numerous consequences to the outputs of these technologies should the inputs resemble, well, “garbage.”
For example, the utility of genetic risk scores provided by companies such as 23andMe and AncestryDNA (which have estimated valuations of $1.75 and $2.6 billion, respectively) may be limited due to diagnostic biases stemming from the underrepresentation of diverse populations.
Responding to such observations, we provide a variety of recommendations to the developers, inventors, and founders spearheading the advancement of digital health—as well as the funders supporting this charge forward—to ensure that their innovations are valuable to the stakeholders they target.
Healthtech startups still have to prove their value for patients
-
Business7 days ago
Langdock raises $3M with General Catalyst to help businesses avoid vendor lock-in with LLMs
-
Entertainment6 days ago
What Robert Durst did: Everything to know ahead of ‘The Jinx: Part 2’
-
Entertainment6 days ago
This nova is on the verge of exploding. You could see it any day now.
-
Business6 days ago
India’s election overshadowed by the rise of online misinformation
-
Business5 days ago
This camera trades pictures for AI poetry
-
Business6 days ago
CesiumAstro claims former exec spilled trade secrets to upstart competitor AnySignal
-
Business4 days ago
TikTok Shop expands its secondhand luxury fashion offering to the UK
-
Business5 days ago
Boston Dynamics unveils a new robot, controversy over MKBHD, and layoffs at Tesla