Author: Lidziya Tarasenka

March is traditionally one of the busiest months for the healthtech and digital health industry. In 2026, several major international conferences will take place during…

Medical records just became the hottest commodity in Silicon Valley. In a stunning 72-hour span this January, OpenAI and Anthropic launched competing platforms that transform fragmented health data into AI-powered personal health advisors, signaling a digital colonization of America’s healthcare system. While regulators spent a decade mandating interoperability through the 21st Century Cures Act, tech giants are exploiting the resulting data floodgates, deploying sophisticated language models to ingest, analyze, and monetize patient information at unprecedented scale.
Have we traded medical privacy for the convenience of conversational health intelligence?

February 2026 is packed with healthtech conferences spanning global mega-expos, health IT executive forums, rural-care leadership, clinical trial innovation, and medical device engineering — making this list a strong starting point for planning your February 2026 conference calendar.

How do you redesign the workplace so that women can thrive through every stage of life? We talked about that with Kasia Pokrop, co-founder of 3mbrace Health and Mamamoon, and a women’s health advocate who is helping companies create healthier, more supportive environments through digital tools, expert talks, workshops, and HR training — all centered on the “three M’s”: menstruation, motherhood, and menopause.

More than 40 million people worldwide turn to ChatGPT every single day with healthcare questions, according to a report released by OpenAI today, underscoring a dramatic change in how Americans are seeking medical information in response to a healthcare system they perceive as fundamentally broken. 

Personalized medicine is becoming the infrastructural element of healthcare. We discuss how AI acceleration, falling DNA sequencing costs, and government funding are driving this massive industry change.

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.

Large language models (LLMs) that already assist physicians and patients with medical questions can still generate severely harmful advice in a sizable percentage of real cases, according to a new multi-center preprint introducing the NOHARM safety benchmark. 

Large language models have arrived in lecture halls, simulation centers, and clinic corridors faster than the curricula can be adapted to accommodate them. What kind of doctor will it help produce, and at what cost?

The traditional model of “informed consent” is ceasing to work in a world of big data and AI, where information is endlessly recombined and repurposed. Experts show that real power over data is now concentrated in the hands of platforms, while the promised autonomy of users turns into an illusion. Regulators are trying to intervene, but without new approaches to data governance, “free choice” will remain a ritual rather than a safeguard.