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Blog
Heart Health Month
Cardiovascular disease is the biggest killer February is American Heart Health Month. Valeria Hegnauer, Nadiia Wyttenbach and Bracy Fertig take this opportunity to call attention to a reality that remains widely misunderstood: heart disease is the leading cause of death across both genders. Nadiia Wyttenbach completed her PhD on the molecular mechanisms of obesity and metabolic disorders. Bracy Fertig investigated cardiovascular health during her research doctorate. As mole
4 min read
Big Tech companies in healthcare: losing, reproducibly
OpenAI has recently announced its healthcare ambitions. Why does it feel like we have been here before? Because we`ve been here before. For almost 2 decades now, Big Tech has tried to enter healthcare through many different angles. And such initiatives failed organically, with striking consistency. 18 years of data: organic success is notably absent from the dataset Since the mid-2000s, every major Big Tech player has launched an organic healthcare initiative: Microsoft, Goo
5 min read
Get To Know Our Partner, Paul Hemings
Paul Hemings - decades across investment banking, healthcare, and boardrooms distilled into five rules he never breaks.
1 min read
Boardroom Science: Lessons Every Leader Should Apply
Nadiia Wyttenbach shares her experience of bringing lessons from Medicine & Life Sciences into the boardroom for high-performing boards.
3 min read
Why I Chose Obesity For My PhD
Nadiia Wyttenbach shares why she chose to dedicate her PhD to tackling obesity and type 2 diabetes. Reason 1. From Stigma to Understanding Nearly 17 years ago, I chose to pursue a PhD in Molecular Health focused on obesity and cardiometabolic disorder . It wasn’t the obvious path – obesity was under the radar, unlike today. Back then, obesity was treated as a willpower problem. Molecular health was underexplored - and that showed up in bad guidance (remember the era of “just
2 min read
Healthcare AI In The Real World: What Sets It Apart
By Nadiia Wyttenbach and Paul Hemings Healthcare AI has matured. Today we see companies generating $10–300m in revenues, with multi-year contracts scaling to $40–60m, near-zero churn, and profitability within 12–18 months. Unlike consumer AI, errors in healthcare carry life- and-death consequences, so specialist, clinically grounded providers win where generalists and Big Tech consistently struggle. Based on tenders and commercial track records across Europe, the US, and MENA
3 min read
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