Analytics - Page 7 of 17

AI remote patient monitoring seeks to address a longstanding and complex challenge in medicine: translating chaotic streams of health data into a comprehensible and standardized format. This capability empowers medical professionals to prioritize effectively and respond to challenges in a timely manner. The primary “superpower” of AI is transforming a thousand signals, ex. heart rate spikes, into a single, actionable notification: “Pay attention, there is a problem!”

FemTech is now a familiar word in pitch decks and policy memos. It is far less familiar to the people it claims to serve:  in 2023 among women aged 25–34, 40% in the US say they don’t know what it is. Women’s health research remains chronically underfunded, with just 5% of global R&D funding going to women’s health in 2020, and most of that concentrated in cancers and fertility.

As recently as yesterday, 32 GB of RAM for a PC was a routine purchase; today it looks like a full-fledged investment appreciating faster than gold and certainly faster than bitcoin. What is increasingly resembles a brewing crisis: the race to ramp up AI capacity is often coming at the expense of other sectors, and manufacturers whose products have had the good fortune to become coveted in this race are quick to reshuffle priorities, with little concern for the consequences for ordinary users.